COCOSO アルゴリズムと改変された Sugeno Weber アグリゲーション オペレーターを使用した体育教室の設計の評価
Qiaoli Wei1,2, Junwei Yao3, Weitao Zheng4
1Key Laboratory of Sports Engineering of General Administration of Sport of China, Wuhan Sports University, Wuhan, 430079, Hubei, China.
Scientific reports
|September 1, 2025
まとめ
効果的な体育教室のデザインは 学生の関わり方に 極めて重要です この研究は, fuzzy セットと分析階層プロセスを用いて,教室の設計を最適化するための新しいマルチ基準の意思決定アプローチを導入し,最良の選択肢として"屋外空間の統合"を特定します.
科学分野:
- 教育技術
- 意思決定科学
- 応用数学
背景:
- 体育教育と伝統的なスポーツは 総合的な発達にとってますます重要になり, 体系的な教室のデザインが必要になります.
- 適切に設計された空間は,学生のカリキュラムと課外活動への参加を高め,多様な教学方法をサポートします.
研究 の 目的:
- 体育教室のデザインに多基準の意思決定 (MCDM) を提案する.
- アナリティカル・ヒエラルキー・プロセス (AHP) と,スゲノ・ウェバーのt規範とt規範を用いたq-rung orthopair fuzzy sets (q-ROFS) をベースにした新しい集積演算子 (AOs) を開発する.
- 代替案のランク付けのための改善されたCombined Compromise Solution (CCS) 方法論を提示する.
主な方法:
- マルチクリテリア意思決定 (MCDM) の分析階層プロセス (AHP) の適用
- q-rung orthopair fuzzy set (q-ROFS) フレームワークを活用して fuzzy setの機能を拡張する.
- q-rung 整形ペアの fuzzy Sugeno-Weber weighted averaging (q-ROFSWWA) と幾何学的な (q-ROFSWWG) オペレーターの開発
- 精密なランキングのための改善されたCombined Compromise Solution (CCS) メソッドの導入
主要な成果:
- 提案されたMCDMアプローチは,体育教室のデザインの代替案を評価し,順位付けすることに成功しました.
- AHP と q-ROFS の情報に基づいて開発された q-ROFSWWA と COCOSO アルゴリズムは実例に適用されました.
- この研究では4つの選択肢の中で,体育教室の最適なデザインとして"屋外空間の統合"を特定しました.
結論:
- AHP,q-ROFS,およびSugeno-Weberオペレータを統合した新しいMCDMアプローチは,体育環境の設計のための効果的な枠組みを提供します.
- 開発された方法論は,複雑な設計シナリオでの意思決定のための強力なツールを提供します.
- 比較分析により,提案されたアプローチの正統性と有効性が確認されました.
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