Designing a mathematical model for determining the optimal location of insurance company branches by using a hybrid Fuzzy Multi-Criteria Decision-Making methods (F-MCDM)
Subject Areas : Statistics
MANSOUR SOOFI
1
,
Fatemeh Dinara
2
1 - Master of Art, Department of Business Management, Rasht Branch, Islamic Azad University, Rasht, Iran
2 - Department of Industrial Management, Rasht Branch, Islamic Azad University, Rasht, Iran.
Keywords: فرآیند تحلیل سلسله مراتبی فازی, حداقل مجذورات لگاریتمی فازی, پرومته ی فازی, دلفی فازی, مساله مکان یابی,
Abstract :
Selecting location of an insurance branche often has been considered as a main problem of parent company. This research aims to deal with location problem of a new branch of Alborz insurance Co. in Guilan province based on the combination of several multi-criteria decision making models with fuzzy data. In the proposed model, there are five criteria and six alternatives (locations). To solve a location prioritization problem four steps are defined in this research: 1) Determination of proposed locations and selection of experts by branches managers, definition of linguistic variables and their corresponding fuzzy numbers, 2) Selection of some effective criteria among different criteria using fuzzy delphi method, 3) Pairwise comparison of the criteria and alternatives using fuzzy analytical hierarchy process method, 4) computation of mean wight of criteria for each of experts and using fuzzy logarithmic least square method, 5) Definition of a comprehensive decision matrix, 6) Definition of a fuzzy preference function, total preference matrix, calculation of positive and negative flow, calculation of net flow and defuzzification of fuzzy numbers using Chen method, 7) Determination of possibility degree and weight of each alternative. Finally, regarding to the score of each alternative, place 3 selected as the first priority and places 4, 5, 6, 1 and 2 determined as the next priorities, respectively. In this research Excel and LINGO softwares are used to run models.
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