4.7 Article

An Atanassov intuitionistic fuzzy programming method for group decision making with interval-valued Atanassov intuitionistic fuzzy preference relations

Journal

APPLIED SOFT COMPUTING
Volume 95, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.asoc.2020.106556

Keywords

Atanassov interval-valued intuitionistic fuzzy preference relation; Group decision making; Atanassov intuitionistic fuzzy program

Funding

  1. National Natural Science Foundation of China [71740021, 11861034]
  2. Thirteen five Programming Project of Jiangxi province Social Science [18GL13]
  3. Humanities Social Science Programming Project of Ministry of Education of China [20YGC1198]
  4. Natural Science Foundation of Jiangxi Province of China [20192BAB207012]
  5. Science and Technology Project of Jiangxi province educational department of China [GJJ190251]
  6. Natural Science Foundation of Guangxi Province of China [2016GXNSFBA380077, 2019GXNSFAA245031]
  7. Doctoral Scientific Research Foundation of Guilin University of Technology [GUTQDJJ2007033]

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The focus of this paper is on group decision making (GDM) problems with interval-valued Atanassov intuitionistic fuzzy preference relations (IV-AIFPRs). A new consistency index of an AIFPR is introduced to check the additive consistency degree of an AIFPR. Then, an additive consistency definition and an acceptable additive consistency definition of an IV-AIFPR are respectively defined by splitting an IV-AIFPR into two AIFPRs. For several IV-AIFPRs with unacceptably additive consistency, a goal program-based approach is proposed to improve their consistency simultaneously. Employing consistency degrees of individual IV-AIFPRs, decision makers' (DMs') weights are determined objectively and applied to integrate individual IV-AIFPRs into a collective one. Further, it is proved that the collective IV-AIFPR is acceptably additive consistent if all individual IV-AIFPRs are acceptably additive consistent. To derive priority weights of alternatives, an Atanassov intuitionistic fuzzy programming model is established and solved by three approaches considering DMs' different risk attitudes. Thus, a novel method is put forward for GDM with IV-AIFPRs. A material selection example is analyzed to verify the effectiveness of the proposed method. (C) 2020 Elsevier B.V. All rights reserved.

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