| Abstract: |
Fuzzy logic is widely used for many applications such as control,optimization and decision making. Through this work we introduce howto use fuzzy rule based systems and fuzzy linear programming in theengineering applications. This thesis is mainly classified into fivechapters as follows:Chapter oneIn this chapter fuzzy sets and its properties, operators and operation onfuzzy sets, fuzzy relations and its main types, composition, operationsand fuzzy reasoning will be discussed.Chapter twoThrough this chapter the mam concept of fuzzy logic, membershipfunctions and its (features, classification and its types),also fuzzynumbers and its types, linguistic variables and its hedges (which are usedto produce a large set of values for linguistic variables), truth and falsevalues (used to modify linguistic hedges), fuzzy linear programming willbe introduced in addition to Many illustrative examples.Chapter threeThis chapter is our main chapter in this thesis. This chapter is devoted tointroduce the fuz~ rule based systems, fuzzification process (crisp tofuzzy), Modus Ponens inference implication mechanism. We alsointroduce fuzzy implication operators (Zadeh, min, product, ... , etc), fuzzygraph, composition of fuzzy rules. (process to obtain the overallconclusion), defuzzification methods (fuzzy to crisp) and their advantagesand disadvantages.
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