Analysis of Multi Criteria Decision Making and Fuzzy Multi Criteria Decision Making

Authors : Rajini.H

Volume/Issue : Volume 2 - 2017, Issue 9 - September

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Today’s environment every individual is facing the global competition. They have multi task and managerial decision at several stages. A manual method of decision making becomes complex and it requires intelligent modeling techniques to get the desired results. It also helps us to select the best suitable element from a set of alternatives by minimizing the effort and maximizing the benefit. If the decision makers feel that the data are in imprecise form, involving vague and linguistic descriptions then the fuzzy set theory is a modeling tool for solving such complex systems. Fuzzy set theory is suitable to use when the modeling of human knowledge and human evaluations are needed. Fuzzy program considers random parameters as fuzzy numbers and constraints are treated as fuzzy sets. In fuzzy mathematical program, membership function is used to represent the degree of satisfaction of the decision makers’ expectations about the objective function level and the range of uncertainty of coefficients. In this paper, laptop features are considered for choosing the best one. Purchasing of laptop is challenge due to wide variety of sizes, compact to carry, versatile enough to run demanding applications, features and prices etc. It is a best tool for doing research work or play at home. To overcome this selection process, a suitable technique is required. TOPSIS is one of the selection procedure techniques which provide a base for decision –making processes where there is limited number of choices but each has large number of attributes.Thus, it presents a comparative analysis of MCDM and FMCDM methods in the context of laptop selection decision making.. However, the comparative analysis has shown that the Fuzzy TOPSIS method is better suited to the problem of laptop selection in regard to changes of alternatives and criteria, agility and number of criteria and alternative laptops. Thus, this comparative study contributes to helping researchers and practitioners to choose more effective approaches for laptop selection. Suggestions of further work are also proposed so as to make these methods more adequate to the problem of laptop selection.


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