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Fuzzy Logic and Fuzzy Based Multi Criteria Decision Analysis
Fuzzy logic is an arithmetic that allows programs on a computer to simulate the real world problems. This is a simple method to reason with uncertain, diverse and inaccurate data or knowledge. In Boolean logic, any statement is considered true or false; that is, it contains the true meaning of 1 or 0. Numerous Booleans impose strict membership requests. In fuzzy environment, every elements defined with the degree of its membership, and clear reasoning is considered as a limiting case of indicative thinking. Therefore, Boolean logic is considered a subset of fuzzy logic. People take part in the analysis of conclusions because the adoption of conclusions must take into account the subjectivity of a person, and not only apply impartial probabilistic measures. The vagueness of the situations are commonly arrises in the real world problems. In fuzzy logic it is accepted to do the necessary calculations in the environment in which goals and limits of the problem does not have the ability to be literally defined or literally presented in exact form. Zadeh proposed using the concept of fuzzy sets as a modelling tool for difficult systems that have every chance of being controlled by people, but which are difficult to literally qualify to deal with high-quality, inaccurate information or even poorly structured conclusion problems. Fuzzy based multi criteria decision analysis is the approach that allow the decision maker define the problem based on the fuzzy logic by fuzzification in order to give the ranking to the alternative.
Fuzzy Logic and Fuzzy Based Multi Criteria Decision Analysis
Fuzzy logic is an arithmetic that allows programs on a computer to simulate the real world problems. This is a simple method to reason with uncertain, diverse and inaccurate data or knowledge. In Boolean logic, any statement is considered true or false; that is, it contains the true meaning of 1 or 0. Numerous Booleans impose strict membership requests. In fuzzy environment, every elements defined with the degree of its membership, and clear reasoning is considered as a limiting case of indicative thinking. Therefore, Boolean logic is considered a subset of fuzzy logic. People take part in the analysis of conclusions because the adoption of conclusions must take into account the subjectivity of a person, and not only apply impartial probabilistic measures. The vagueness of the situations are commonly arrises in the real world problems. In fuzzy logic it is accepted to do the necessary calculations in the environment in which goals and limits of the problem does not have the ability to be literally defined or literally presented in exact form. Zadeh proposed using the concept of fuzzy sets as a modelling tool for difficult systems that have every chance of being controlled by people, but which are difficult to literally qualify to deal with high-quality, inaccurate information or even poorly structured conclusion problems. Fuzzy based multi criteria decision analysis is the approach that allow the decision maker define the problem based on the fuzzy logic by fuzzification in order to give the ranking to the alternative.
Fuzzy Logic and Fuzzy Based Multi Criteria Decision Analysis
Prof. Pract. Eart. Scie.
Uzun Ozsahin, Dilber (editor) / Gökçekuş, Hüseyin (editor) / Uzun, Berna (editor) / LaMoreaux, James (editor) / Uzun, Berna (author) / Uzun Ozsahin, Dilber (author) / Duwa, Basil (author)
2021-03-01
10 pages
Article/Chapter (Book)
Electronic Resource
English
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