基于最優(yōu)化方法的區(qū)間直覺模糊三支群決策模型(英文)
發(fā)布時(shí)間:2023-06-19 19:41
基于三種經(jīng)典區(qū)間直覺模糊集結(jié)算子及最優(yōu)化方法,文章提出一種新穎的三支群決策模型與決策方法。首先,論文闡述了具有區(qū)間直覺模糊評價(jià)信息的三支群決策問題,采用區(qū)間直覺模糊加權(quán)平均算子、混合加權(quán)平均算子及幾何平均算子分別集成不同決策者提供的區(qū)間直覺模糊評價(jià)信息,以便獲得區(qū)間直覺模糊綜合損失函數(shù)評價(jià)結(jié)果,并討論損失函數(shù)之間的大小關(guān)系。其次,基于最優(yōu)化方法建立一種確定三支決策概率閾值及規(guī)則的優(yōu)化模型對。在此基礎(chǔ)上,提出基于區(qū)間直覺模糊集結(jié)算子及最優(yōu)化方法的三支群決策模型。最后,算例與比較分析表明所提出模型的有效性和優(yōu)勢。
【文章頁數(shù)】:11 頁
【文章目錄】:
0 Introduction
1 Tree-way group decisions with interval-valued intuitionistic fuzzy information (IVIFI)
1.1 Problem on three-way group decisions with IVIFI
1.2 Deriving collective loss functions by using these three representative operators
1.3 Optimization models for determining the thresholds based on collective loss functions
1.4 Three-way group decision approach based on collective loss functions and extended models
2 An illustrative example
3 Discussion and conclusion
本文編號:3835004
【文章頁數(shù)】:11 頁
【文章目錄】:
0 Introduction
1 Tree-way group decisions with interval-valued intuitionistic fuzzy information (IVIFI)
1.1 Problem on three-way group decisions with IVIFI
1.2 Deriving collective loss functions by using these three representative operators
1.3 Optimization models for determining the thresholds based on collective loss functions
1.4 Three-way group decision approach based on collective loss functions and extended models
2 An illustrative example
3 Discussion and conclusion
本文編號:3835004
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