異質な無線ネットワークの評価に適用される新しい躊躇する曖昧なテンサーベースのグループ意思決定アプローチ
Muhammad Bilal1, Ioan Lucian-Popa2,3
1School of Mathematics and Statistics, Yunnan University, Kunming, 650106, China. bilalmaths28@gmail.com.
Scientific reports
|August 21, 2025
まとめ
この研究は,専門家の決定における不確実性を扱う新しい方法であるHesitant Fuzzy Tensor (HFT) を導入しています. HFTは複雑なデータを効果的に分析し 不確実な環境でグループでより良い意思決定を行うことができます
科学分野:
- 意思決定科学
- 情報理論
- コンピュータ科学
背景:
- 伝統的な意思決定モデルは 曖昧さや専門家の躊躇に 苦しんでいます
- 多重で不確実な専門家の意見を表現するには 先進的な枠組みが必要です
研究 の 目的:
- 新しい多次元ツールとしてHesitant Fuzzy Tensor (HFT) を導入する.
- HFTの理論的基礎と意思決定アルゴリズムを開発する.
- 異質な無線通信ネットワークの選択を最適化するためにHFTを適用します.
主な方法:
- Hesitant Fuzzy Tensor (HFT) オペレーションの正式な定義と開発について
- HFT集積演算子を用いたグループ意思決定アルゴリズムの策定.
- ワイヤレス通信ネットワークの選択におけるHFTの経験的評価
主要な成果:
- HFTは 専門家の判断における 躊躇を効果的に捉え 表現します
- HFTベースのアルゴリズムは,強度と解釈性を示しています.
- 不確実な状況下での最適の無線ネットワークの選択に成功した.
結論:
- HFTは,不確実性に基づいた意思決定分析のためのスケーラブルで現実的なツールを提供します.
- この研究は 複雑な技術領域の模擬モデルを 推し進めています
- 提案された枠組みは,不確実な環境における集団の意思決定を強化します.
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