A Neutrosophic Approach for Opponent Analysis and Game Strategy Formulation in College Volleyball
Year: 2025
Type: article
Abstract: In competitive college volleyball, effective opponent analysis is crucial for strategic decisionmaking, particularly when facing teams with varying performance dynamics. This study introduces a QNeutrosophic Soft Set (QNSS) approach to opponent analysis, enabling multi-context decision evaluation based on a granular assessment of opponent characteristics across different game conditions. Our QNSS proposes a novel Context-wise Aggregation Operator (CWA) that captures the nuanced relationships between contexts and parameters in QNSS, providing a flexible aggregation mechanism that not only accounts for the varying importance of different contexts but also emphasizes the multiplicative relationships between membership values. Our framework presents neutrosophic best-worst method to compute criteria weights by ensuring more diverse and well-distributed criteria values and introduces a regularization-based spread maximization function to prevent weight convergence and ensure proper consistency handling through a nonlinear optimization model. Then, a customized fuzzy ARAS is computed to assess and rank the different playing strategies. Further, we introduce a real case study on European volleyball championship for senior men's national teams in Europe, in which decision-makers. Proof of concept analysis is conducted on real case studies validated to the advantages of the proposed approach, and compared the methods against state-of-the-art studies, implying insightful boosting to the opponent analysis and game planning.
Author: Bogang Huang
Language: English
Topic: Fuzzy and Soft Set Theory
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6930725333
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