Data-driven decision-making framework for the evaluation of the traders in the stock market using cosine trigonometric single-valued neutrosophic approach

Volume 41, Issue 2, pp 222--243 https://dx.doi.org/10.22436/jmcs.041.02.06

Publication Date: October 03, 2025 Submission Date: May 27, 2025 Revision Date: June 16, 2025 Accteptance Date: June 30, 2025

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Authors

P. Palanikumar - Department of Mathematics, Saveetha School of Engineering, Saveetha University, Saveetha Institute of Medical and Technical Sciences, Chennai-602105, India. N. Kausar - Department of Mathematics, Faculty of Arts and Science, Balikesir University, 10145 Balikesir, Turkey. D. Pamucar - Széchenyi István University, Győr, Hungary. V. Simic - Faculty of Transport and Traffic Engineering, University of Belgrade, VojvodeStepe 305, 11010, Belgrade, Serbia. - Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul 02841, Republic of Korea.

Abstract

The cosine trigonometric single valued neutrosophic number (CT-SVNN) is a suitable expansion of the standard neutrosophic number. Single-valued neutrosophic sets (SVNSs) may effectively overcome three components: degree of truth, indeterminacy, and falsity. In recent years, the aggregation operator (AO) and its applications have undergone development. This study introduces a few new AOs for multi-attribute decision-making (MADM). We introduce a novel approach for cosine trigonometric SVNS (CT-SVNS) and CT-SVNS with normal (CT-SVNNS), which are SVNS extensions. It is also required to discuss the CT-SVNNS method fundamental features in this communication, such as idempotency, boundedness, commutativity and monotonicity. There are numerous CT-SVNNS operators that have been proposed, including CT-SVN normal weighted averaging (CT-SVNNWA), CT-SVN normal weighted geometric (CT-SVNNWG), generalized CT-SVNNWA (GCT-SVNNWA) and generalized CT-SVNNWG. A powerful strategy for solving the MADM problem is provided that makes use of new developed generalized operators. Through a case study, the value of the suggested MADM approach is demonstrated. The new strategy is shown using a market share problem, and the outcomes are contrasted and examined against an existing method. This combination of generalized AO was rated successful based on expert preferences. As a result, a varied collection of experts may be accepted.

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Keywords

• CT-SVNNWA
• CT-SVNNWG
• GCT-SVNNWA
• GCT-SVNNWG
• Hamming distance
• aggregating operators

MSC

•  03E72
•  90B50
•  68T37
•  90C70

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