Extension of Capital Budgeting Techniques Using Interval-Valued Fermatean Fuzzy Sets

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Date

2022

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Volume Title

Publisher

IOS Press

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Green Open Access

No

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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.

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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

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Q2
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OpenCitations Citation Count
42

Source

Journal of Intelligent & Fuzzy Systems

Volume

42

Issue

1

Start Page

365

End Page

376
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274

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28

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