Based on the non-singleton fuzzy inference system,this system establishes its inference rules by using a new combined parallel learning algorithm of Gradient descent algorithm and genetic algorithm.

Nonlinear communications channel equalization based on non-singleton fuzzy logic system;

Fault detection and diagnosis based on fuzzy inference system for chiller;

Industrial Process Data Mining Based on Fuzzy Inference System;

Then two fuzzy inference systems used for quality evaluation were constructed with electrode displacement and dynamic resistance signals respectively.

Firstly,to construct the fuzzy inference system(FIS) model using the relation ship between bed mobility and separation efficiency,including imperfection and misplaced material,based on the operating experience and samples analysis,to evaluate the mobility of jig bed offline.

In order to resolve the shortcomings of the traditional Kalman filtering,a new method is presented in which the fuzzy reasoning system is combined with the traditional Kalman technology.

In order to resolve the shortcoming of the traditional federal Kalman filtering, a new method is presented in which the fuzzy reasoning system is combined with the traditional Kalman technology.

It used the population variance and entropy to measure the di-versity of population,and in accordance with the each population of variance and entropy to design the fuzzy reasoning system for adaptive the controlled cross probability and mutation probability.