Fuzzy Logic Essay

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NAME: FAIZ MUHAMMAD ALIYU JUBRIN AHMED MOHAMMED LAWAL ALI BILAL KURFI PROGRAM: COMPUTER SCIENCE AND MULTIMEDIA SUBJECT: DECISION SUPPORT SYSTEM LECTURER’S NAME: MR. AHMED SYAFIQ Fuzzy logic A mathematical technique for dealing with imprecise data and problems that have many solutions rather than one. Although it is implemented in digital computers which ultimately make only yes-no decisions, fuzzy logic works with ranges of values, solving problems in a way that resembles human logic. Fuzzy logic is used for solving problems with expert systems and real-time systems that must react to an imperfect environment of highly variable, volatile or unpredictable conditions. It "smooth’s the edges" so to speak, circumventing abrupt changes in operation that could result from relying on traditional either-or and all-or-nothing logic. Fuzzy logic is a form of many-valued logic; it deals with reasoning that is fixed or approximate rather than fixed and exact. In contrast with "crisp logic", where binary sets have two-valued logic: true or false, fuzzy logic variables may have a truth value that ranges in degree between 0 and 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false. Introduction Fuzzy logic began with the 1965 proposal of fuzzy set theory by Lotfi Zadeh. Though fuzzy logic has been applied to many fields, from control theory to artificial intelligence, it still remains controversial among most statisticians, who prefer Bayesian logic, and some control engineers, who prefer traditional two-valued logic. These truth values can then be used to determine how the brakes should be controlled. Linguistic variables While variables in mathematics usually take numerical values, in fuzzy logic
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