A multi-expert interval-valued intuitionistic fuzzy location selection for the maintenance facility of armored vehicles

Basar Oztaysi, Sezi Cevik Onar, Kerim Goztepe, Cengiz Kahraman*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)149-173
Number of pages25
JournalJournal of Multiple-Valued Logic and Soft Computing
Volume32
Issue number1-2
Publication statusPublished - 2019

Bibliographical note

Publisher Copyright:
© 2019 Old City Publishing, Inc.

Keywords

  • Interval-valued intutionistic fuzzy sets
  • Location selection
  • Maintenance facility of armored vehicles (MFAV)
  • Multicriteria decision making

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