基于灰色系統(tǒng)理論的多屬性群決策專家權(quán)重的調(diào)整算法
發(fā)布時間:2018-12-16 09:19
【摘要】:研究多屬性群決策中專家權(quán)重的調(diào)整問題.在得到專家主觀權(quán)重的基礎(chǔ)上,提出一種權(quán)重調(diào)整算法.通過計算專家個體決策結(jié)果與群體決策結(jié)果的灰色關(guān)聯(lián)度并結(jié)合初始權(quán)重求得專家的綜合權(quán)重,運(yùn)用專家的綜合權(quán)重計算調(diào)整后的決策結(jié)果,并據(jù)此繼續(xù)對權(quán)重進(jìn)行調(diào)整,直至計算出穩(wěn)定的權(quán)重和決策結(jié)果.通過對嵌入式計算機(jī)的性能評價表明了該方法的可行性與實用性.
[Abstract]:The problem of expert weight adjustment in multi-attribute group decision making is studied. On the basis of obtaining the subjective weight of experts, a weight adjustment algorithm is proposed. By calculating the grey correlation degree of the individual decision result and the group decision result and combining the initial weight, the expert comprehensive weight is obtained, and the adjusted decision result is calculated by using the expert comprehensive weight, and the weight is adjusted according to the grey correlation degree of the expert individual decision result and the group decision result. Until the calculation of the stable weight and decision-making results. The performance evaluation of embedded computer shows the feasibility and practicability of this method.
【作者單位】: 西北工業(yè)大學(xué)計算機(jī)學(xué)院;
【基金】:國家自然科學(xué)基金項目(60573101)
【分類號】:C931.1;C934
[Abstract]:The problem of expert weight adjustment in multi-attribute group decision making is studied. On the basis of obtaining the subjective weight of experts, a weight adjustment algorithm is proposed. By calculating the grey correlation degree of the individual decision result and the group decision result and combining the initial weight, the expert comprehensive weight is obtained, and the adjusted decision result is calculated by using the expert comprehensive weight, and the weight is adjusted according to the grey correlation degree of the expert individual decision result and the group decision result. Until the calculation of the stable weight and decision-making results. The performance evaluation of embedded computer shows the feasibility and practicability of this method.
【作者單位】: 西北工業(yè)大學(xué)計算機(jī)學(xué)院;
【基金】:國家自然科學(xué)基金項目(60573101)
【分類號】:C931.1;C934
【參考文獻(xiàn)】
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