A DYNAMIC MULTI CRITERIA DECISION MAKING MODEL UNDER UNCERTAINTIES

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Generally, evaluation of alternatives in many multi criteria decision making (MCDM) methods is considered in a specific time period or current time period. However, not only current performances but also past performances of alternatives should be taken into account in some MCDM problems. In addition to this, the nature of MCDM consists of uncertainties due to structure of criteria or evaluation of decision makers. Therefore, the aim of this study is to develop a dynamic MCDM model based on uncertainties which enables to evaluate the alternatives in different periods. In this model, intuitionistic fuzzy set (IFS) theory, which is closer way for human thinking, is used to represent uncertainties in evaluation of alternatives. Linguistic variables shown with intuitionistic fuzzy numbers in the proposed model provide easiness for decision makers. To make defuzzification intuitionistic fuzziness obtaining after evaluation of alternatives is utilized grey relational analysis (GRA). GRA is an effective method used in the ranking and selection of the alternatives. In the study, a numerical example is presented to show the applicability and efficiency of the proposed dynamic MCDM model.

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Intuitionistic fuzzy set theory , grey relational analysis , dynamic decision making , multi criteria decision making

Journal Of The Faculty Of Engineering an‎d Architecture Of Gazi University

140

Journal Of The Faculty Of Engineering an‎d Architecture Of Gazi University