Zadeh, Lotfi

In 1960, Lotfi Zadeh proposed what he called Fuzzy Logic to describe the way people think and speak in their natural language. Fuzzy set theory creates classes or groupings of data with boundaries not sharply defined. Fuzzy techniques are used to solve real-world problems where we must deal with imprecision in the variables and parameters that are measured... 

The theory of fuzzy sets enables representation and processing of vague propositions and uncertain information. In contrast to probability theory, fuzzy theory is a possibilistic approach, that is, it is based on possibility theory. The concept of fuzzy sets was introduced by Lotfi A. Zadeh of the University of California (USA) in 1965. 

The concept of fuzzy logic emerged in 1965 within the development of the theory of fuzzy sets by Lotfi A. Zadeh, professor of computer science at the University of California in Berkeley (Zadeh 1965). 

In one of his most influential papers, Lotfi Zadeh presented an outline of a new approach to analysis of complex systems and decision processes (Zadeh, 1973). He suggested using fuzzy rales to capture and express human knowledge. Human knowledge is usually inthe form of if-then rules, whiehean be easily implemented by fuzzy conditional statements. 

The term fuzzy logic in its true sense means imprecise logic. The concept behind it was developed in the 1960s by Lotfi A. Zadeh, University of Berkeley, California, USA (Zadeh, 1965). Fuzzy logic uses terms similar to human language to describe values of parameters and relations. These linguistic rules thus allow an easy transfer of human expert knowledge into a computer-based control system. 

Zadeh, LA. (1996) Fuzzy sets, fiizzy logic, and fuzzy systems Selected papers of Lotfi A. Zadeh. Edited by Zadeh, L.A. Klir, G.J. Yuan, B., River Edge 1996. 

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