Monotone Data Samples Do Not Always Generate Monotone Fuzzy If-Then Rules

• المؤلفون الرئيسيون: Teh, Chin Ying, Tay, Kai Meng, Lim, Cheepeng
• التنسيق: Book Section
• اللغة: English
• منشور في: Springer 2017
• الموضوعات: QA Mathematics
• الوصول للمادة أونلاين: http://ir.unimas.my/id/eprint/15755/1/Monotone%20Data%20Samples%20Do%20Not%20Always%20%28abstract%29.pdf; http://ir.unimas.my/id/eprint/15755/; https://link.springer.com/chapter/10.1007/978-981-10-3957-7_15

The Wang–Mendel (WM) method is one of the earliest methods to learn fuzzy If-Then rules from data. In this article, the WM method is used to generate fuzzy If-Then rules for a zero-order Takagi–Sugeno–Kang (TSK) fuzzy inference system (FIS) from a set of multi-attribute monotone data. Convex and nor...