Multiple-attribute decision making based on single-valued neutrosophic Schweizer-Sklar prioritized aggregation operator

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2019 English Publisher:Elsevier BVJournal:Cognitive Systems Research, volume 57, pages 175-196 (issn: 1389-0417,

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Authors: Peide Liu; Qaisar Khan; Tahir Mahmood 0002;

doi: 10.1016/j.cogsys.2018.10.005 , 10.5281/zenodo.3056412 , 10.5281/zenodo.3056411

Multiple-attribute decision making based on single-valued neutrosophic Schweizer-Sklar prioritized aggregation operator

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Abstract

Single-valued neutrosophic (SVN) sets can successfully describe the uncertainty problems, and Schweizer-Sklar (SS) t-norm (TN) and t-conorm (TCN) can build the information aggregation process more flexible by a parameter. To fully consider the advantages of SVNS and SS operations, in this article, we extend the SS TN and TCN to single-valued neutrosophic numbers (SVNN) and propose the SS operational laws for SVNNs.

Related Organizations

International Islamic University
Pakistan
Shandong University of Finance and Economics
China (People's Republic of)

Keywords

Single-valued neutrosophic (SVN) sets

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