基于優(yōu)勢概率的多屬性群決策方法研究

摘要： 已有多屬性群決策方法大多需要進(jìn)行矩陣歸一化處理,才能得到相應(yīng)的決策結(jié)果,但不同的歸一化方法可能導(dǎo)致不同的決策結(jié)果。為了解決該問題,文章提出了基于優(yōu)勢概率的新決策方法并規(guī)避矩陣歸一化。該方案通過定義并計(jì)算相對屬性權(quán)重和屬性優(yōu)勢概率,得到方案間的優(yōu)勢概率,從而實(shí)現(xiàn)方案的評價和排序。實(shí)例表明,新方法決策過程簡潔、目標(biāo)明確、效果良好,是一種較優(yōu)的多屬性群決策方法。
Most of the existing multi-attribute group decision-making methods need matrix normalization to obtain the corresponding decision results, but different normalization methods may lead to different decision results. In order to solve this problem, this paper proposes a new decision-making method based on advantage probability to avoid matrix normalization. By defining and calculating the relative attribute weight and attribute advantage probability, the paper obtains the dominant probability among schemes, so as to realize the evaluation and ranking of schemes. The example shows that the new method is a better multi-attribute group decision-making method with simple decision-making process, clear objective and good effect.