曖昧な枠組みと高度な財務管理政策の評価による意思決定アルゴリズム
Zijie Yu1, Jiongchen Kou2, Yuanxin Liu2
1School of Accounting, Zhongnan University of Economics and Law, Wuhan, 430071, Hubei, China. melody6662022@outlook.com.
Scientific reports
|August 25, 2025
まとめ
この研究は,円形の模糊ヘロニアン平均 (C-PFHM) 演算子を用いた新しい金融意思決定アルゴリズムを提示します. C-PFHMアプローチは,金融政策の評価における不確実性を効果的に処理し,複雑なシナリオにおいて高い信頼性を示しています.
科学分野:
- 意思決定科学
- 財務管理
- ぼんやりとした集合論
背景:
- 金融政策の評価には しばしば不確実性や躊躇性や曖昧さが含まれます
- 既存の方法では,さまざまな専門家の意見を効果的にまとめるのに苦労することがあります.
- 絵のぼやけセットとヘロニア平均は,不確実性の処理を改善する可能性を秘めています.
研究 の 目的:
- 新しい意思決定アルゴリズムを導入するために,円形の模糊ヘロニアン平均 (C-PFHM) オペレーター.
- 不確実な状況下での財務管理政策の評価のための多基準の意思決定の枠組みを開発する.
- 専門家の意見を集約するために,画像の模糊セットとヘロニアン平均の強みを組み合わせる.
主な方法:
- C-PFHMオペレータの開発 画像のぼやけたセットとヘロニアン平均を統合する.
- データの収集,標準化,C-PFHMの集積,曖昧化,順位付けを含む意思決定の枠組みの構築.
- フレームワークの適用は,主要な業績指標に対して政策オプションを評価する金融ケーススタディに適用されます.
主要な成果:
- 提案されたC-PFHMアルゴリズムは,不確実性下での金融政策の効果的な評価を証明した.
- 参照方法 (C-PFHM-TOPSIS) で高い相関関係 (スピーマンのrho=0. 9815) が観察された.
- このアルゴリズムは,高精度な意思決定環境で信頼性が証明されました.
結論:
- C-PFHMの運営者は,洗練された金融意思決定のための強力なツールを提供します.
- 開発された枠組みは,不確実で曖昧な専門家の情報の管理を強化します.
- このアプローチは,金融政策の評価のための信頼性の高い検証された方法を提供します.
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