基于前景理論的多階段直覺模糊數(shù)決策方法
發(fā)布時間:2018-07-28 10:54
【摘要】:針對航空部隊事故預(yù)警方案選擇中指標(biāo)權(quán)重未知、指標(biāo)值為直覺模糊數(shù)的多階段直覺模糊數(shù)決策問題,考慮決策者風(fēng)險偏好引起的指標(biāo)值的動態(tài)變化,提出了一種基于前景理論的多階段決策方法。該方法根據(jù)各階段期望均值可能度的比較確定階段變化特征,參考直覺模糊數(shù)距離公式設(shè)置動態(tài)參考點(diǎn),然后集結(jié)收益和損失以整體前景值最大化為目標(biāo)建立規(guī)劃模型得到指標(biāo)的動態(tài)權(quán)重,計算方案綜合前景值并排序。最后通過MATLAB仿真實(shí)例驗(yàn)證了該方法的有效性。
[Abstract]:In view of the multi-stage intuitionistic fuzzy number decision making problem in which the index weight is unknown and the index value is intuitionistic fuzzy number, the dynamic change of the index value caused by the decision maker's risk preference is considered. A multi-stage decision-making method based on foreground theory is proposed. According to the comparison of the expected mean probability of each stage, the method determines the phase variation characteristics, and sets the dynamic reference points with reference to the intuitionistic fuzzy number distance formula. Then aggregate the gains and losses with the goal of maximizing the overall foreground value to set up a programming model to get the dynamic weight of the index and calculate the comprehensive foreground value of the scheme and sort it. Finally, the effectiveness of the method is verified by MATLAB simulation.
【作者單位】: 空軍工程大學(xué)裝備管理與安全工程學(xué)院;
【基金】:國家自然科學(xué)基金資助項(xiàng)目(71401174)
【分類號】:C934;E274.1
本文編號:2149881
[Abstract]:In view of the multi-stage intuitionistic fuzzy number decision making problem in which the index weight is unknown and the index value is intuitionistic fuzzy number, the dynamic change of the index value caused by the decision maker's risk preference is considered. A multi-stage decision-making method based on foreground theory is proposed. According to the comparison of the expected mean probability of each stage, the method determines the phase variation characteristics, and sets the dynamic reference points with reference to the intuitionistic fuzzy number distance formula. Then aggregate the gains and losses with the goal of maximizing the overall foreground value to set up a programming model to get the dynamic weight of the index and calculate the comprehensive foreground value of the scheme and sort it. Finally, the effectiveness of the method is verified by MATLAB simulation.
【作者單位】: 空軍工程大學(xué)裝備管理與安全工程學(xué)院;
【基金】:國家自然科學(xué)基金資助項(xiàng)目(71401174)
【分類號】:C934;E274.1
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