A Novel Pythagorean Neutrosophic Cubic Correlation
Measure for Multi-Criteria Group Decision Making: An
Approach to Consumer Electronic Selection

L Berna Joyce; L Elvin Mary

doi:https://doi.org/10.14445/22315373/IJMTT-V72I4P110

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 72 | Issue 4 | Year 2026 | Article Id. IJMTT-V72I4P110 | DOI : https://doi.org/10.14445/22315373/IJMTT-V72I4P110

A Novel Pythagorean Neutrosophic Cubic Correlation Measure for Multi-Criteria Group Decision Making: An Approach to Consumer Electronic Selection

L Berna Joyce, L Elvin Mary

Received	Revised	Accepted	Published
26 Feb 2026	31 Mar 2026	21 Apr 2026	29 Apr 2026

Citation :

L Berna Joyce, L Elvin Mary, "A Novel Pythagorean Neutrosophic Cubic Correlation Measure for Multi-Criteria Group Decision Making: An Approach to Consumer Electronic Selection," International Journal of Mathematics Trends and Technology (IJMTT), vol. 72, no. 4, pp. 68-73, 2026. Crossref, https://doi.org/10.14445/22315373/IJMTT-V72I4P110

Abstract

The Pythagorean Neutrosophic Cubic Sets (PNCS) are a hybrid approach that is of the Interval Valued Pythagorean Neutrosophic Set (IVPNS) and the Pythagorean Neutrosophic Set (PNS). To induce the Multi-Criteria Decision-Making (MCDM) in high unreliability, a unique PNCS Correlation measure 𝜉`(𝛨𝑃𝑁𝐶𝑆, 𝛧𝑃𝑁𝐶𝑆) has been introduced. Robust and adaptable decision-making methods are required due to the rising growth of mobile devices, more complicated feature sets, and subjective user preferences. The conventional Multi-Criteria Decision-Making (MCDM) methodologies often fail to adequately reflect the inherent unpredictability, indefiniteness, and overlapping perceptions encountered in real-world evaluation procedures. To bridge this gap, this research proposes an experimental integrated MCDM mechanism based on PNCS. The findings demonstrate that this sophisticated correlation-based method offers a more solid and trustworthy ranking, providing a potent instrument for collective decision-making in the consumer electronics industry and other extremely unpredictable fields.

Keywords

Correlation measure, Multi-Criteria Decision-Making, Pythagorean Neutrosophic Cubic set.

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