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A Multi-Expert Interval-Valued Intuitionistic Fuzzy Location Selection for the Maintenance Facility of Armored Vehicles
Basar Oztaysi, Sezi Cevik Onar, Kerim Goztepe and Cengiz Kahraman

Location selection decisions contain many factors that may be conflicting themselves. Today it is proven that location selection is a part of strategic management activity for armies. This research uses a location selection analysis approach for the maintenance facility for military armored vehicles using a multiexpert and multicriteria interval-valued intuitionistic fuzzy decision making method. The proposed method uses interval-valued intuitionistic fuzzy preference relation matrices to determine the relative importance of criteria. A new defuzzification method for interval-valued intuitionistic fuzzy sets is also proposed in the paper. A case study for the Turkish army is given in the paper.

Keywords: Interval-valued intutionistic fuzzy sets, location selection, maintenance facility of armored vehicles (MFAV), multicriteria decision making

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