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<p>The work offers a methodological improvement of decision-making based on a Bipolar Complex Fuzzy Multi-Criteria Group Decision-Making (BCF-MCGDM) framework that incorporates Aczel-Alsina triangular norms and conorms (AATNs and AATCNs) to become more effective at modeling uncertainty and dual experts’ preferences. The framework incorporates the merits of bipolar complex fuzzy sets (BCFS) and flexible aggregation operators in order to be able to embrace both positive and negative expert judgments in ambiguity. The proposed BCF-AATN approach, unlike the traditional fuzzy and intuitionistic fuzzy approaches, is able to address interdependent criteria and contradictory judgments in a complicated decision-making setting. To demonstrate its applicability, the framework is applied to a real-life problem in basketball strategy evaluation, where a number of experts evaluate tactical and analytical criteria. The model recognizes the Eastern Falcons as the most strategical team and justifies its strength using the sensitivity and comparative analyses. Generally, the suggested BCF-MCGDM framework provides a generalizable, theoretically based, and methodologically better system of decision support that is applicable to sports and other fields, which share certain characteristics of uncertainty and consensus among a group. Being a fast-paced and competitive game, basketball demands that players and coaches make decisions in changing tactics, uncertain conditions, and varying expert opinions. The suggested framework integrates BCF logic with adaptable aggregation techniques to assess complicated strategic alternatives. When applied to real-world data, the findings placed the Eastern Falcons as the most strategically appropriate team, with high tactical flexibility, awareness of the game, and data-driven strategies. The Northern Titans came in second, due to good player combinations and game analysis, followed by the Thunder Hawks. The Southern Stallions had a balanced performance in all categories, and the Capital Warriors stood last, as they depended on strategy but failed to execute it at the right time. Altogether, the framework based on the BCFS emphasizes the latent strengths and weaknesses of team strategies and offers viable information to coaches and analysts to facilitate the preparation of games, in-match decisions, and long-term planning.</p>

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Enhancing strategic basketball decisions using a bipolar complex fuzzy multi criteria group decision making framework

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月11日

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  • Junwei Yao,
  • Xuan Wang,
  • Qiaoli Wei,
  • Yang Cheng

摘要

The work offers a methodological improvement of decision-making based on a Bipolar Complex Fuzzy Multi-Criteria Group Decision-Making (BCF-MCGDM) framework that incorporates Aczel-Alsina triangular norms and conorms (AATNs and AATCNs) to become more effective at modeling uncertainty and dual experts’ preferences. The framework incorporates the merits of bipolar complex fuzzy sets (BCFS) and flexible aggregation operators in order to be able to embrace both positive and negative expert judgments in ambiguity. The proposed BCF-AATN approach, unlike the traditional fuzzy and intuitionistic fuzzy approaches, is able to address interdependent criteria and contradictory judgments in a complicated decision-making setting. To demonstrate its applicability, the framework is applied to a real-life problem in basketball strategy evaluation, where a number of experts evaluate tactical and analytical criteria. The model recognizes the Eastern Falcons as the most strategical team and justifies its strength using the sensitivity and comparative analyses. Generally, the suggested BCF-MCGDM framework provides a generalizable, theoretically based, and methodologically better system of decision support that is applicable to sports and other fields, which share certain characteristics of uncertainty and consensus among a group. Being a fast-paced and competitive game, basketball demands that players and coaches make decisions in changing tactics, uncertain conditions, and varying expert opinions. The suggested framework integrates BCF logic with adaptable aggregation techniques to assess complicated strategic alternatives. When applied to real-world data, the findings placed the Eastern Falcons as the most strategically appropriate team, with high tactical flexibility, awareness of the game, and data-driven strategies. The Northern Titans came in second, due to good player combinations and game analysis, followed by the Thunder Hawks. The Southern Stallions had a balanced performance in all categories, and the Capital Warriors stood last, as they depended on strategy but failed to execute it at the right time. Altogether, the framework based on the BCFS emphasizes the latent strengths and weaknesses of team strategies and offers viable information to coaches and analysts to facilitate the preparation of games, in-match decisions, and long-term planning.