Extension of Capital Budgeting Techniques Using Interval-Valued Fermatean Fuzzy Sets
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Date
2022
Authors
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Volume Title
Publisher
IOS Press
Open Access Color
Green Open Access
No
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Publicly Funded
No
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 (IVFFS s) 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.
Description
ORCID
Keywords
Interval-valued fermatean fuzzy sets, Fuzzy engineering economics, Fuzzy equivalent uniform annual value, Fuzzy benefit cost ratio, Fuzzy net present value
Turkish CoHE Thesis Center URL
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
Sergi, D., Sari, I. U., & Senapati, T. (2022). Extension of capital budgeting techniques using interval-valued Fermatean fuzzy sets. Journal of Intelligent & Fuzzy Systems, 42(1), pp. 365-376. https://doi.org/10.3233/JIFS-219196
WoS Q
Q4
Scopus Q
Q2

OpenCitations Citation Count
42
Source
Journal of Intelligent & Fuzzy Systems
Volume
42
Issue
1
Start Page
365
End Page
376
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CrossRef : 42
Scopus : 58
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Mendeley Readers : 41
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8.39198188
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