عنوان انگلیسی مقاله:

A peer-to-peer dynamic adaptive consensus reaching model for the group AHP decision making

ترجمه عنوان مقاله: اجماع تطبیقی مدل پویای نظیر به نظیر برای رسیدن به گروه تصمیم گیری AHP

رشته: تحقیق در عملیات پیشرفته

سال انتشار: 2016

تعداد صفحات مقاله انگلیسی: 33 صفحه

منبع: الزویر و ساینس دایرکت

نوع فایل: pdf

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چکیده مقاله

Consensus reaching models are widely applied in group decision making problems to improve the group’s consensus level before making a common decision. Within the context of the group Analytic Hierarchy Process (AHP), a novel consensus reaching model in a dynamic decision environment is proposed. A Markov chain method can be used to determine the decision makers’ weights of importance for the aggregation process with respect to the group members’ opinion transition probabilities. The proposed group consensus reaching model facilitates a peer to peer opinion exchange process which relieves the group of the need for a moderator by using an automatic feedback mechanism. Moreover, as the elements in the group decision framework change in a dynamic decision making problem, this model provides feedback suggestions that adaptively adjust for each of the decision makers depending on his credibility in each round. The full process of the dynamic adaptive consensus reaching model is presented and its properties are discussed. Finally, a numerical example is given to demonstrate the effectiveness of our model.

Keywords: Group decision making; Consensus reaching; weight determining; The Analytic Hierarchy Process (AHP)

مقدمه مقاله

The complexity of the decisions that management face makes it difficult to depend on a single decision maker’s knowledge and capabilities to obtain a meaningful and reliable solution. Therefore, group decision making has received significant attention in both the research and in practice. Group decision making (GDM) is a procedure that combines the individuals’ judgments into a common opinion on behalf of a whole group. To express the judgments of individuals, several formats are usually used in GDM, such as fuzzy preference relations (Cabrerizo, Moreno, et al., 2010; Tanino, 1984; Y. Xu, et al., 2013; Z. Xu, 2009), linguistic preference relations (Alonso, et al., 2013; Herrera, et al., 1995; Herrera, et al., 1996; Wu and Xu, 2012a), utility functions (Brock, 1980; Greco, et al., 2012; Huang, et al., 2013; Keeney and Kirkwood, 1975) and the Analytic Hierarchy Process (AHP) (Altuzarra, et al., 2010; Chiclana, et al., 2001; Dyer and Forman, 1992; Van Den Honert and Lootsma, 1997).

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