Monotone Fuzzy Rule Interpolation for TSK-FIS-Like n-Ary Aggregation Functions-Reference-Cited by-同舟云学术

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Monotone Fuzzy Rule Interpolation for TSK-FIS-Like n-Ary Aggregation Functions

Published:2023-08-13 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Fuzzy Systems (FUZZ)
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Author:

Jong Chian Haur¹,Tay Kai Meng¹,Kerk Yi Wen²,Lim Chee Peng³

Affiliation:

1. Data Science Centre, UNIMAS Water Centre, Universiti Malaysia Sarawak,Faculty of Engineering,Kota Samarahan,Malaysia

2. Center for Artificial Intelligence Technology, Universiti Kebangsaan Malaysia,Bangi,Malaysia

3. Institute for Intelligent Systems Research and Innovation, Deakin University,Geelong,VIC,Australia,3216

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10309665/10309668/10309818.pdf?arnumber=10309818

Reference32 articles.

1. W-Infer-polation: Approximate reasoning via integrating weighted fuzzy rule inference and interpolation

2. Fuzzy Rule Interpolation with K-Neighbours for TSK Models

3. Only Smooth Rule Bases Can Generate Monotone Mamdani–Assilian Models Under Center-of-Gravity Defuzzification

4. Monotone Fuzzy Rule Interpolation for Practical Modelling of the Zero-Order TSK Fuzzy Inference System

5. Survey of Fuzzy Min–Max Neural Network for Pattern Classification Variants and Applications

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