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Article type: Research Article
Authors: Sergi, Duygua; * | Sari, Irem Ucalb | Senapati, Tapanc
Affiliations: [a] Industrial Engineering Department, MEF University, Ayazaga, Istanbul, Turkey | [b] Industrial Engineering Department, Istanbul Technical University, Macka, Istanbul, Turkey | [c] School of Mathematics and Statistics, Southwest University, Beibei, Chongqing, China
Correspondence: [*] Corresponding author. Duygu Sergi, Industrial Engineering Department, MEF University, Ayazaga, Istanbul, Turkey. E-mail: [email protected].
Abstract: Capital budgeting requires dealing with high uncertainty from the unknown characteristics of cash flow, interest rate, and study period forecasts for future periods. Many fuzzy extensions of capital budgeting techniques have been proposed and used in a wide range of applications to deal with uncertainty. In this paper, a new fuzzy extension of the most used capital budgeting techniques is proposed. In this content, first interval-valued Fermatean fuzzy sets (IVFFSs) are defined, and the algebraic and aggregation operations are determined for interval-valued Fermatean fuzzy (IVFF) numbers. The formulations of IVFF net present value, IVFF equivalent uniform annual value, and IVFF benefit-cost ratio (B/C) methods are generated. To validate the proposed methods, proposed formulations are illustrated with a hypothetical example, and the results are compared with classical fuzzy capital budgeting techniques.
Keywords: Interval-valued Fermatean fuzzy sets, fuzzy engineering economics, fuzzy net present value, fuzzy equivalent uniform annual value, fuzzy benefit cost ratio
DOI: 10.3233/JIFS-219196
Journal: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 1, pp. 365-376, 2022
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