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

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.

Keyword : linguistic variables, hesitant fuzzy linguistic term sets, multi-criteria group decision making, linear assignment method, National Cartographic Center

How to Cite
Razavi Hajiagha, S., Shahbazi, M., Amoozad Mahdiraji, H., & Panahian, H. (2018). A bi-objective score-variance based linear assignment method for group decision making with hesitant fuzzy linguistic term sets. Technological and Economic Development of Economy, 24(3), 1125-1148. https://doi.org/10.3846/20294913.2016.1275878
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May 25, 2018
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This work is licensed under a Creative Commons Attribution 4.0 International License.

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