Expandable Drawer

Hidden Items
  1. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  2. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  3. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  4. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  5. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  6. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  7. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  8. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  9. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362

 

  1. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  2. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  3. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  4. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  5. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  6. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  7. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  8. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362

 

No Hidden items

body/meta/legal
  1. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  2. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  3. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  4. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  5. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  6. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  7. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  1. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  2. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  3. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  4. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  5. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  6. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  7. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  1. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  2. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  3. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  4. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  5. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  6. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  7. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  8. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  9. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  10. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  11. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  12. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  13. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  14. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  15. This is a test para for subscript

Apply Styles then select hidden items

META
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362

Apply Styles then select hidden items

LEGAL
  1. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  2. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  3. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  4. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  5. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  6. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  7. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  8. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  9. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  10. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  11. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
META -SUPERSCRIPT
  1. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  2. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  3. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  4. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  5. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  6. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  7. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  8. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  9. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  10. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  11. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  12. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  13. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  14. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  15. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.

HIDE item and then apply styles

Meta
  1. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  2. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  3. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  4. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  5. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  6. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  7. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  8. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  9. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  10. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  11. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362

HIDE item and then apply styles

LEGAL
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362
LEGAL-SUPERSCRIPT
 
  1. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  2. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  3. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  4. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  5. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  6. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  7. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  8. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  9. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  10. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.

Paragraph followed by list items

HIDDEN ITEMS - BODY

Prior to joining Visa, Hao was a Software Engineer at Google Research, responsible for the research and development of a diverse set of machine learning technologies including social recommendation, knowledge discovery and semantic query understanding.

  1. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  2. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  3. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  4. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  5. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  6. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  7. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  8. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  9. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  10. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.

Dr. Hao Yang joined Visa Research as a Vice President in September 2015, where he is leading a team advanced machine learning research to tackle challenging problems in the payment industry and develop the world’s best commerce intelligence engine.Prior to joining Visa, Hao was a Software Engineer at Google Research, responsible for the research and development of a diverse set of machine learning technologies including social recommendation, knowledge discovery and semantic query understanding.

  1. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  2. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  3. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  4. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  5. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  6. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  7. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  8. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  9. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
Dr. Hao Yang joined Visa Research as a Vice President in September 2015, where he is leading a team advanced machine learning research to tackle challenging problems in the payment industry and develop the world’s best commerce intelligence engine.Prior to joining Visa, Hao was a Software Engineer at Google Research, responsible for the research and development of a diverse set of machine learning technologies including social recommendation, knowledge discovery and semantic query understanding.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.

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Dr. Hao Yang joined Visa Research as a Vice President in September 2015, where he is leading a team advanced machine learning research to tackle challenging problems in the payment industry and develop the world’s best commerce intelligence engine.

  1. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  2. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  3. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  4. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  5. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  6. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  7. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.

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Dr. Hao Yang joined Visa Research as a Vice President in September 2015, where he is leading a team advanced machine learning research to tackle challenging problems in the payment industry and develop the world’s best commerce intelligence engine.Prior to joining Visa, Hao was a Software Engineer at Google Research, responsible for the research and development of a diverse set of machine learning technologies including social recommendation, knowledge discovery and semantic query understanding.

  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.

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Dr. Hao Yang joined Visa Research as a Vice President in September 2015, where he is leading a team advanced machine learning research to tackle challenging problems in the payment industry and develop the world’s best commerce intelligence engine.Prior to joining Visa, Hao was a Software Engineer at Google Research, responsible for the research and development of a diverse set of machine learning technologies including social recommendation, knowledge discovery and semantic query understanding.
  1. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  2. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  3. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  4. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  5. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  6. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  7. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  8. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  9. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  10. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  11. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  12. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  13. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  14. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  15. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  16. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  17. Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.

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Dr. Hao Yang joined Visa Research as a Vice President in September 2015, where he is leading a team advanced machine learning research to tackle challenging problems in the payment industry and develop the world’s best commerce intelligence engine.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  • Wang, L., & Yen, J. (1999). Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems, 101(3), 353–362.
  1. Visa Foundation pledged $200 million over ‍‍five years to its Equitable Access Initiative supporting gender diverse and inclusive small and micro businesses around the world. ‍‍As part of the initiative, the Foundation will provide $60 million in grants and $140 million in impact investments with a gender and diversity lens.
  2. Visa Fou£€™®©ndation pledged $200 million over five years to its Equitable Access Initiative supporting gender diverse and inclusive small and micro businesses around the world. As part of the initiative, the Foundation will provide $60 million in grants and $140 million in impact investments with± a gender and diversity lens.
  3. Visa Foundation pledged $200 million over five years to its Equitable Access Initiative supporting gender diverse and inclusive small and micro businesses around the world. As part of the initiative, the Foundation will provide $60 million in grants and $140 million in impact investments with a gender and diversity lens.
  4. Through ©its grantmaking, Visa Foundation® partners with organizations™ that provide capital, capacity €building and £support services ±to gender inclusive and diverse SMBs. ‍‍Additionally, Visa Foundation‍‍ uses grant funding to unlock barriers that prevent the flow of investment capital from reaching gender diverse SMBs.
  • Visa Foundation ©pledged $200 ®million over five years ™to its Equitable €Access Initiative £supporting £gender diverse ±and inclusive small and micro businesses around the world. 
  • As part of the ‍‍i‍nitiative, the Foundation ‍‍will provide $60 million in grants and $140 million in impact investments with a gender and diversity lens.
  • Through its grantmaking, Visa Foundation partners with organizations that provide capital, capacity building and support services to gender inclusive and diverse SMBs. Additionally, Visa Foundation uses grant funding to unlock barriers that prevent the flow of investment capital from reaching gender diverse SMBs.
  • Through its grantmaking, Visa Foundation partners with organizations that provide capital, capacity building and support services to gender inclusive and diverse SMBs. Additionally, Visa Foundation uses grant funding to unlock barriers that prevent the flow of investment capital from reaching gender diverse SMBs.
  • Through its grantmaking, Visa Foundation partners with organizations that provide capital, capacity building and support services to gender inclusive and diverse SMBs. Additionally, Visa Foundation uses grant funding to unlock barriers that prevent the flow of investment capital from reaching gender diverse SMBs.

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  1. Visa Foundation‍‍ recently announced a commitment of two programs totaling $210 million to support small and micro businesses‍‍, aligning with Visa Foundation’s long-term focus on women’s economic advancement and inclusive economic development, and to address an urgent need from local communities following the spread of COVID-19.
  2. Visa Foundation recently ‍‍announced a commitment of two programs totaling $210 million to support small and micro businesses, aligning with ‍‍Visa Foundation’s long-term focus on women’s economic advancement and inclusive economic development, and to address an urgent need from local communities following the spread of COVID-19.
  3. Visa Foundation ®recently announced a commitment ™of two programs totaling $210 million to support €small and micro businesses£, aligning with ±Visa Foundation’s long-term focus on women’s economic advancement and inclusive economic development, and to address an urgent need from local communities following the spread of COVID-19.©
  4. Visa Foundation‍‍ believes that creating a capital continuum for SMBs is crucial for their sustainability and growth. As such, Visa Foundation aims to increase equitable and efficient access to capital at different stages of business growth, support gender diverse and inclusive small businesses, and promote inclusive economic growth. An additional goal is to influence ‍‍the sector broadly to help move gender lens investing from niche to the mainstream.
  • Visa Foundation‍‍ ‍‍‍‍recently announced a commitment of two programs totaling $210 million to support small and micro businesses‍‍, aligning ‍‍with Visa Foundation’s long-term focus on women’s economic ‍‍advancement and inclusive economic development, and to address an urgent need from local communities following the spread of COVID-19.
  • Visa Foundation‍‍© recently announced ®a commitment of two programs totaling $210 million to support ™small and micro businesses‍‍™, aligning with Visa Foundation’s long-term focus on women’s €economic advancement and £inclusive economic development, €and to address an urgent need from local communities ± following the spread of COVID-19.
  • ‍‍Visa Foundation‍‍ recently announced ‍‍a commitment of two programs ‍‍totaling $210 million to support ‍‍small and micro businesses‍‍
  • Visa Foundation‍‍ ‍‍recently announced a commitment of two programs totaling $210 million to support small and micro businesses‍‍, aligning ‍‍with Visa Foundation’s long-term focus on women’s economic advancement and inclusive economic development, and to address an urgent need from local communities following the spread of COVID-19.
  • Visa Foundation‍‍© recently announced ®a commitment of two programs totaling $210 million to support ™small and micro businesses‍‍™, aligning with Visa Foundation’s long-term focus on women’s €economic advancement and £inclusive economic development, €and to address an urgent need from local communities ± following the spread of COVID-19.
  • ‍‍Visa Foundation‍‍ ‍‍recently announced a commitment ‍‍of two programs ‍‍totaling $210 million to support small and micro businesses‍‍
  1. Visa Foundation‍‍‍‍ ‍‍recently announced a commitment of two programs totaling $210 million to support small and micro businesses‍‍, aligning ‍‍with Visa Foundation’s long-term focus on women’s economic advancement and inclusive economic development, and to address an urgent need from local communities ‍‍following the spread of COVID-19.
  2. Visa Foundation‍‍© recently announced ®a commitment of two programs totaling $210 million to support ™small and micro businesses‍‍™, aligning with Visa Foundation’s long-term focus on women’s €economic advancement and £inclusive economic development, €and to address an urgent need from local communities ± following the spread of COVID-19.
  3. Visa Foundation recently announced a commitment of two programs totaling $210 million to support small and micro businesses, aligning with Visa Foundation’s long-term focus on women’s economic advancement and inclusive economic development, and to address an urgent need from local communities following the spread of COVID-19.
  4. ‍‍Visa Foundation‍‍ ‍‍recently announced a commitment of two programs ‍‍totaling $210 million to‍‍ support small and micro businesses‍‍.