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Article type: Research Article
Authors: Fahmi, Aliyaa; * | Abdullah, Saleemb | Amin, Fazlia | Siddiqui, Nasirc | Ali, Asada
Affiliations: [a] Department of Mathematics, Hazara University, Mansehra, KPK, Pakistan | [b] Department of Mathematics, Abdul Wali Khan University, Mardan, KPK, Pakistan | [c] Department of Basic Sciences, University of Engineering and Technology, Taxila, Pakistan
Correspondence: [*] Corresponding author. Aliya Fahmi, Department of Mathematics, Hazara University, Mansehra, KPK, Pakistan. E-mail: [email protected].
Abstract: In this paper, we introduce the concept of triangular cubic fuzzy numbers. We discuss some basic operational laws of triangular cubic fuzzy numbers and then develop triangular cubic fuzzy weighted average (TCFWA) operator. We also define crisp weighted possibility means of TCFNs and hamming distance between TCFNs. Furthermore, we extend the classical VIKOR method to solve the MCDM method based on triangular cubic fuzzy numbers. The new ranking method for TCFNs is used to rank the alternatives. Finally, an illustrative example is given to verify and demonstrate the practicality and effectiveness of the proposed method.
Keywords: The crisp weighted possibility means of TCFNs, weighted average operator of TCFNs, hamming distance for TCFNs, A MCDM method, VIKOR method using TCFNS
DOI: 10.3233/JIFS-162007
Journal: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 6, pp. 3323-3337, 2017
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