On generating linguistic rules for fuzzy models Page 1 On Generating Linguistic Rules for Fuzzy
Models Xian-Tu Peng, Pei-zhuang Wang Department of Mathematics, Beijing Normal …

Interpolated Linguistic Terms (ILT) are a valid alternative representation for the fuzzy sets
obtained in the inference of a fuzzy rule base, and allow the propagation of the uncertainty …

Within the field of linguistic fuzzy modeling with fuzzy rule-based systems, the automatic
derivation of the knowledge base from numerical data is an important task. In this …

Fuzzy systems modeling involves the use of a fuzzy rule base to model complex systems by
partitioning the input space into fuzzy regions in which the output can be more effectively …

Due to the enormous success of fuzzy control, there has been a great interest in fuzzy
reasoning, ie the formalization and application of human rule based knowledge. But when …

We demonstrate that some of the so-called uncertainties that may be present in a rule-based
fuzzy logic system (FLS) are not uncertainties, but are instead choices that must be made as …

Fuzzy inference procedures are becoming more useful in the management of uncertainty in
expert systems. In this paper, we describe a fuzzy inference procedure which deals with the …

Different methodologies have been used to design and model a system which having the
ability to make decision in uncertain and indecisive situation. In this paper we present the …

Discusses linguistic modeling of nonlinear functions with many inputs by fuzzy rule-based
systems. That is, our task is to describe a multi-input nonlinear function by fuzzy if-then rules …

System modelling is an important subject in engineering both from a research point of view
and from a practical perspective models have an important role in several intelligent systems …