4.7 Article

Fuzzy decision making based on likelihood-based comparison relations of hesitant fuzzy linguistic term sets and hesitant fuzzy linguistic operators

Journal

INFORMATION SCIENCES
Volume 294, Issue -, Pages 513-529

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2014.09.061

Keywords

Fuzzy decision making; Fuzzy group decision making; Hesitant fuzzy linguistic term set; Likelihood-based comparison relation; Similarity measure

Funding

  1. Ministry of Science and Technology, Republic of China [MOST 103-2221-E-011-108-MY2]

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In this paper, we propose a new fuzzy decision making method and propose a new fuzzy group decision making method based on the proposed likelihood-based comparison relations of hesitant fuzzy linguistic term sets and the proposed hesitant fuzzy linguistic weighted average (HFLWA) operator, the proposed hesitant fuzzy linguistic weighted geometric (HFLWG) operator, the proposed hesitant fuzzy linguistic ordered weighted average (HFLOWA) operator, and the proposed hesitant fuzzy linguistic ordered weighted geometric (HFLOWG) operator of hesitant fuzzy linguistic term sets. The proposed fuzzy decision making method can overcome the drawback of Rodriguez et al.'s method (2012) and Wei et al.'s method (2014) for fuzzy decision making, which cannot distinguish the preference order of alternatives in some situations. The proposed fuzzy group decision making method is more flexible than Rodriguez et al.'s method (2013) for fuzzy group decision making because it considers different hesitant fuzzy linguistic operators for fuzzy group decision making. The proposed methods provide us with a useful way for decision making in fuzzy environments. (C) 2014 Elsevier Inc. All rights reserved.

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