Semi-supervised (or partial) fuzzy clustering plays an important and unique role in discovering hidden structure in data realized in presence of a certain quite limited fraction of labeled patterns. The objective of this study is to investigate and quantify the effect of various distance functions (distances) on the performance of the clustering mechanisms. The underlying goal of endowing the c...

An evolutionary fuzzy controller that drives the output parameters of fuzzy logic system in such a way that the Lyapunov function and the system is exponentially stable is presented. The output parameters of the fuzzy logic system are updated for every sampling time in an evolutionary manner. Only part of the parameters associated with the current situation are considered and, thus, the present...

This paper first improves Chen and Hsieh’s definition of generalized fuzzy numbers, which makes it the generalization of definition of fuzzy numbers. Secondly, in terms of the generalized fuzzy numbers set, we introduce two different kinds of orders and arithmetic operations and metrics based on the λ-cutting sets or generalized λ-cutting sets, so that the generalized fuzzy numbers are integrat...