A weighted fuzzy inference method

Variable weighted synthesis inference method for fuzzy reasoning and fuzzy systems

Keywords-Fuzzy reasoning, Fuzzy system, Variable weighted synthesis inference method, CRI method, Fuzzy control. 1. I N T R O D U C T I O N It is well known that fuzzy inference is a theoretical foundation of fuzzy control systems and fuzzy expert systems. At present, general fuzzy inference methods include the CRI (compositional rules of inference) method, (+,-)-centroid method, simple inferen...

ROBUSTNESS OF THE TRIPLE IMPLICATION INFERENCE METHOD BASED ON THE WEIGHTED LOGIC METRIC

This paper focuses on the robustness problem of full implication triple implication inference method for fuzzy reasoning. First of all, based on strong regular implication, the weighted logic metric for measuring distance between two fuzzy sets is proposed. Besides, under this metric, some robustness results of the triple implication method are obtained, which demonstrates that the triple impli...

Color Inference Using an Enhanced Fuzzy Method

Color information recognition methods based on the RGB color model, which is designed on the basis of static fuzzy inference rules, are being widely used at present. However, these methods have certain limitations because of the nature of the model used: detachment of human vision and limited choice of environment. In this paper, we propose a method based on the HSI model and a new inference pr...

Fuzzy Inference Method for Intelligent Artificial System

A fuzzy control system which is a typical system utilizing fuzzy model is mainly using the Max-Min CRI (Compositional Rule of Inference) method by Zadeh and Mamdani for fuzzy inference. But the Max-Min CRI method suffers from drawbacks including: error-prone weighting strategy, inefficient compositional rule of inference, and subjective formulation of membership functions. Because of these prob...

A Method for Defuzzication by Weighted Distance