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Transactions: INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
Transactions ID Number: 17-180
Full Name: ouarda Hachour
Position: Doctor (Researcher)
Age: ON
Sex: Female
Address: BPN°216 Ain Benian Algiers Algeria
Country: ALGERIA
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E-mail address: kala_ouarda@yahoo.fr
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Title of the Paper: Fuzzy Logic Controller
Authors as they appear in the Paper: Ouarda Hachour
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Number of paper pages: 8
Abstract: One of the most fundamental problems in the construction of mathematical models of technological systems is that of adequacy of the system's model in relation to the real system. However, it is well known that ideal adequacy is hardly feasible although attempts to reach maximum approximation are always made. As a rule a reasonable compromise is made between the accuracy of a mathematical model and its complexity. Fuzzy model arises about the adequacy of such a model and presents a successful tool or technology in answering of lot of problems. In effect, human reasoning is not based on the classical two-valued logic because this process involves fuzzy thrusts, fuzzy deduction rules, etc. This is the reason why FL is closer to human thinking and natural language than classical logic. Also, FL can be viewed as an attempt to bring together conventional precise mathematics and human-like decision-making concepts. This is the purpose in what we have introduced alternati!
ves approaches as FL which are quite common in the daily lives of humans called intelligent controls. Many of successful applications of fuzzy logic shown the importance of the rule based fuzzy logic .The control is meant in the most general sense: it includes actual closed loop control, expert systems, and all kinds of man-machine systems where the decision of the human 'components' is supported or modified by the conclusion obtained by the application of approximate reasoning on the set of available rules. This paper deals with Fuzzy Logic principle. This technology is becoming useful as alternate approaches to the classical techniques one. This approach can be realized in efficient manner and has proved to be superior to combinatorial optimization techniques, due to the problem complexity.The main steps of concepts are clarified in detail
Keywords: Fuzzy Logic Controller FLC, Artificial Intelligence, Mathematical Model,s Intelligent control, Fuzzification, Defuzzification, Hybrid Intelligent combination
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