Possibility $$\boldsymbol{q}$$-Rung Interval Valued Fuzzy Soft Set and Their Real-life Application to Decision-making Approach

This paper introduces the theory of possibility $$q$$ -rung interval-valued fuzzy soft (P $$q$$ -rung IVFS) sets and demonstrates their application to real-life decision-making problems. P $$q$$ -rung IVFS sets generalize Pythagorean fuzzy soft sets and offer a novel approach to handling uncertainty. We propose a new similarity measure between two P $$q$$ -rung IVFS sets, supported by examples. As a practical application, we explore the process of purchasing a computer, highlighting the decision-making stages involved. Using the soft set method, we present an algorithm for solving decision-making problems under uncertainty. Finally, we demonstrate the effectiveness of these methods with an illustrative example.

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Publication Details

Journal
Lobachevskii Journal of Mathematics
Published
2024-12-01
DOI
https://doi.org/10.1134/s1995080224607719
Primary Topic
Fuzzy and Soft Set Theory
Type
article
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article

Possibility $$\boldsymbol{q}$$-Rung Interval Valued Fuzzy Soft Set and Their Real-life Application to Decision-making Approach

S. R. Vidhya, Giorgio Nordo, N. Rajesh, Hovik A. Matevossian et al.
Lobachevskii Journal of Mathematics
Fuzzy and Soft Set Theory
article

Possibility $$\boldsymbol{q}$$-Rung Interval Valued Fuzzy Soft Set and Their Real-life Application to Decision-making Approach

S. R. Vidhya, Giorgio Nordo, N. Rajesh, Hovik A. Matevossian, Saeid Jafari
article en

Abstract

This paper introduces the theory of possibility $$q$$ -rung interval-valued fuzzy soft (P $$q$$ -rung IVFS) sets and demonstrates their application to real-life decision-making problems. P $$q$$ -rung IVFS sets generalize Pythagorean fuzzy soft sets and offer a novel approach to handling uncertainty. We propose a new similarity measure between two P $$q$$ -rung IVFS sets, supported by examples. As a practical application, we explore the process of purchasing a computer, highlighting the decision-making stages involved. Using the soft set method, we present an algorithm for solving decision-making problems under uncertainty. Finally, we demonstrate the effectiveness of these methods with an illustrative example.

Lobachevskii Journal of MathematicsVol. 45(12)
University of Messina (IT), Tamil University (IN), Institute for Physical Research (AM)
Peace, Justice and strong institutions
Openalex Percentile: Top 66%
Fuzzy and Soft Set Theory
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Possibility $\boldsymbol{q}$-Rung Interval Valued Fuzzy Soft Set and Their Real-life Application to Decision-making Approach — S. R. Vidhya, Giorgio Nordo, et al. · Lobachevskii Journal of Mathematics (2024) | TGRS Research Map | TGRS