在企業競爭日益激烈的今日，決策者面對的決策問題往往是具有多個評選準則(criteria)，而非單一評選準則就可以簡單表示的，也就是所謂的多準則決策問題。在多準則決策方法的領域中，由Hwang and Yoon在80年代發展的TOPSIS評估法(Technique for Order Preference by Similarity to Ideal Solution)，由於其理論基礎清楚明瞭，模式推論與想法嚴謹，配合「距理想解最近，同時距負理想解最遠」的思考，是一套有完整系統的多準則決策方法。然而將TOPSIS評估法應用於解決群體決策的問題時，傳統上是以平均數或是簡單加總的方法來進行偏好整合，而沒有考慮到決策者對方案之間的偏好程度以及對方案的偏好順序，顯得過於單純，此外，利用平均數的偏好整合方法，會產生許多群體決策矛盾(paradox)的問題。
因此，本研究針對TOPSIS評估法於群體偏好整合之問題，提出一個新的群體偏好整合模式，此模式將分成三個階段，第一階段為「偏好程度整合」，利用「各方案間之權重偏差值」將決策者對於方案間的偏好權重程度納入整合模式之中；第二階段為「偏好順序整合」，利用「方案偏好順序係數」將決策者在意最偏好的方案是否被採用的心境納入整合模式之中；第三階段為「TOPSIS評估法之思考邏輯整合階段」，利用「群體方案正負理想指標」將TOPSIS評估法的思考邏輯納入整合模式之中，使得評選出的最終方案是眾人較滿意的最終方案。本研究預期所提出的偏好整合模式為一個能符合決策者情境、增加決策過程的信服、滿意程度以及省時、有效率的群體決策模式。進而在群體決策過程中，達到對組織或群體以及個人皆有利的雙贏局面。

In the field of Multi Criteria Decision Making (MCDM), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) has become a popular decision technique because of its clear theories and the exact models (Deng et al., 2000). For applications with TOPSIS in group decisions, the common aggregation approaches are the geometric and the arithmetic mean methods which seem too intuitive and do not consider individuals’ either preference levels or preference priorities.
In this paper, we focus on the aggregation of TOPSIS for group decisions and present a new group decision aggregation model of TOPSIS. The construction of the proposed model includes three steps：The first step is to use weight differences to present the degrees of preference among different alternatives for each decision maker；the second step is to use alternative priorities to present the anxiety that the decision maker wants his most favorite alternative to be chosen；the third step is to use the group ideal solutions approach in TOPSIS for the aggregation of similarities obtain from different decision makers. After a comparative analysis, the proposed aggregation model seems to be more satisfactory compromise-oriented decision problems.

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