From the definition of fuzzy sets by Zadeh in 1965, fuzzy logic has become a significant area
of interest for researchers on artificial intelligence. In particular, Professor Mamdani was the …

This paper presents a weighted fuzzy reasoning algorithm for rule-based systems based on
weighted fuzzy logics. The proposed algorithm allows the truth values of the conditions …

There is a longstanding tradition in science of according much more respect to theories
which are quantitative, formal and precise than to those which are qualitiative, informal and …

Fuzzy Rule Base Systems (FRBS) has been shown to be an important tool for problems
where, due to the complexity or the imprecision, classical tools are unsuccessful. In [3, 14] it …

IT IS a well-recognized fact that the theory of fuzzy sets and systems, for the last four
decades after the seminal paper by Professor Zadeh [1], has demonstrated its remarkable …

The present article is a novel attempt in providing an exhaustive survey of neuro-fuzzy rule
generation algorithms. Rule generation from artificial neural networks is gaining in …

A methodology is suggested here for the development of fuzzy systems models that is a
combination of the AI-expert systems approach, with its heavy dependence on the use of …

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 …

The fuzzy logic controller is examined and the basic assumptions inherent in the Mamdani
model is described. Distinctions are made between rule firing based upon possibility and …

This paper provides a logical basis for manipulation with fuzzy IF-THEN rules. Our theory is
wide enough and it encompasses not only finding a conclusion by means of the …