کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7541454 | 1489049 | 2018 | 35 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A prospect theory-based method for fusing the individual preference-approval structures in group decision making
ترجمه فارسی عنوان
یک روش مبتنی بر نظریه چشم انداز برای ترکیب یک ساختار تایید کننده ترجیح فرد در تصمیم گیری گروهی
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کلمات کلیدی
تصمیم گیری گروهی، نظریه چشم انداز، ساختار تصویب ترجیحی، وزنه فاصله،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی صنعتی و تولید
چکیده انگلیسی
Preference-approval structure is a typical preference structure that can not only reflect decision makers' preference orderings for alternatives but also distinguish the satisfied alternatives from the dissatisfied alternatives. The aim of this paper is to propose a method to fuse the individual preference-approval structures in group decision making (GDM), in which the weight of decision makers can be represented as the exact number (i.e., exact weight), the interval number (i.e., interval weight) and the rankings (i.e., ranking weight). In the method, based on prospect theory, the prospect values of all the alternatives associated with each decision maker are calculated. In addition, the expected values of the weights of decision makers are calculated. Then, the relative-position indicators of the alternatives are determined. In addition, two algorithms are proposed to determine the reading sequences of the alternatives. Based on the reading sequences, an algorithm is proposed to construct the fused preference-approval structure. Next, some desirable properties of the proposed method are discussed. Finally, an example is given to illustrate the use of the proposed method, and the versatility, consistency, efficiency and computational complexity of the proposed method are discussed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Industrial Engineering - Volume 117, March 2018, Pages 237-248
Journal: Computers & Industrial Engineering - Volume 117, March 2018, Pages 237-248
نویسندگان
Haiming Liang, Wang Xiong, Yucheng Dong,