Solving Multi Criteria Decision Making Problems - 1278 Words

There are several methods to solve multi-criteria decision-making problems. Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) are two methods created by Tomas Saaty. AHP endeavor to solve the decision making problem by formed it in a hierarchy while ANP is used when the problem is so complex that cannot be formed as a hierarchy. This complexity happens because of the effect of criteria between each other or the effect of alternatives on criteria. Generally we can say The Analytic Network Process is a generalization of the Analytic Hierarchy Process. The ANP approach can be comprises in to four steps [87]: Step 1: Model construction and problem structuring: The problem should be stated clearly and decomposed into a rational system like a network Step 2: Pairwise comparisons and priority vectors: In ANP, like AHP, pairs of decision elements at each cluster are compared with respect to their importance towards their control criteria. Furthermore, interdependencies among criteria of a cluster must also be treated pairwise; thus the influence of each element on other elements can be represented by an eigenvector. The relative importance values are determined with Saaty’s nine scales. Step 3: Supermatrix structure: the Supermatrix concept is similar to the Markov chain process. To obtain global priorities in a system with interdependent influences, the local priority vectors are entered in the appropriate columns of a matrix. As a result, a supermatrix isShow MoreRelatedMulti Criteria ( Or ) Attribute Decision Making ( Mcdm / Madm ) Essay1076 Words   |  5 PagesMulti-criteria (or) attribute decision making (MCDM/MADM) methods have very high applications in industries for solving real world engineering problems. In the present work, MCDM methods of weighted sum method (WSM), Weighted Products Method (WPM) and TOPSIS, have been employed for the computational analysis of multi-responses. 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