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Information Journal Paper

Title

Multigranulation single valued neutrosophic covering-based rough sets and their applications to multi-criteria group decision making

Pages

  109-126

Abstract

 In this paper, three types of (philosophical, optimistic and pessimistic) multigranulation single valued neutrosophic (SVN) Covering-based rough set models are presented, and these three models are applied to the problem of multi-criteria group decision making (MCGDM). Firstly, a type of SVN Covering-based rough set model is proposed. Based on this rough set model, three types of multigranulation SVN Covering-based rough set models under the concept of multigranulation SVN -covering approximation space are proposed, where is a SVN number. Moreover, the connections among these four models are investigated. Secondly, some conditions under which different multigranulation SVN -covering approximation spaces induced the same multigranulation SVN covering approximation operators are presented. Finally, three novel methods are presented to MCGDM problems under the multigranulation SVN Covering-based rough set models. Furthermore, the proposed MCGDM methods are compared with other methods through a problem about paper defect diagnosis.

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    APA: Copy

    Wang, J. Q., & ZHANG, X.H.. (2020). Multigranulation single valued neutrosophic covering-based rough sets and their applications to multi-criteria group decision making. IRANIAN JOURNAL OF FUZZY SYSTEMS, 17(5 ), 109-126. SID. https://sid.ir/paper/372745/en

    Vancouver: Copy

    Wang J. Q., ZHANG X.H.. Multigranulation single valued neutrosophic covering-based rough sets and their applications to multi-criteria group decision making. IRANIAN JOURNAL OF FUZZY SYSTEMS[Internet]. 2020;17(5 ):109-126. Available from: https://sid.ir/paper/372745/en

    IEEE: Copy

    J. Q. Wang, and X.H. ZHANG, “Multigranulation single valued neutrosophic covering-based rough sets and their applications to multi-criteria group decision making,” IRANIAN JOURNAL OF FUZZY SYSTEMS, vol. 17, no. 5 , pp. 109–126, 2020, [Online]. Available: https://sid.ir/paper/372745/en

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