A Bi-objective score-variance based linear assignment method for group decision making with hesitant fuzzy linguistic term sets

Seyed Hossein Razavi Hajiagha, Meisam Shahbazi, Hannan Amoozad Mahdiraji, Hossein Panahian

Research output: Contribution to journalArticle

2 Citations (Scopus)
3 Downloads (Pure)

Abstract

Decision makers usually prefer to express their preferences by linguistic variables. Classic fuzzy sets allowed expressing these preferences using a single linguistic value. Considering inevitable hesitancy of decision makers, hesitant fuzzy linguistic term sets allowed them to express individual evaluation using several linguistic values. Therefore, these sets improve the ability of humans to determine believes using their own language. Considering this feature, in this paper a method upon linear assignment method is proposed to solve group decision making problems using this kind of information, when criteria weights are known or unknown. The performance of the proposed method is illustrated in a numerical example and the results are compared with other methods to delineate the models efficiency. Following a logical and well-known mathematical logic along with simplicity of execution are the main advantages of the proposed method.

Original languageEnglish
Pages (from-to)1125-1148
Number of pages24
JournalTechnological and Economic Development of Economy
Volume24
Issue number3
DOIs
Publication statusPublished - 1 Jan 2018
Externally publishedYes

Bibliographical note

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Keywords

  • Hesitant fuzzy linguistic term sets
  • Linear assignment method
  • Linguistic variables
  • Multi-criteria group decision making
  • National Cartographic Center

ASJC Scopus subject areas

  • Finance

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