文献类型：期刊文献

英文题名：Entropy-based weights on decision makers in group decision-making setting with hybrid preference representations

作者：Yue, Chuan[1]

机构：[1]Guangdong Ocean Univ, Coll Math & Comp Sci, Zhanjiang 524088, Peoples R China

年份：2017

卷号：60

起止页码：737

外文期刊名：APPLIED SOFT COMPUTING

收录：SCI-EXPANDED(收录号：WOS:000414072200054)、、EI(收录号：20174104266496)、Scopus(收录号：2-s2.0-85030842173)、WOS

基金：The author would like to thank the editors and the anonymous reviewers for their insightful and constructive comments and suggestions that have led to this improved version of the paper. This work was supported partially by the Young Creative Talents Project from Department of Education of Guangdong Province (No. 2016KQNCX064), the Education and Teaching Reform Program of Guangdong Ocean University (No. XJG201644) and the Project of Enhancing School with Innovation of Guangdong Ocean University (No. GDOU2017052802).

语种：英文

外文关键词：Group decision-making; Weights of decision makers; Entropy measure; Normalized projection measure; Interval data; Hybrid information

外文摘要：The weights of decision makers play an important role in group decision-making problems. Entropy is a very important measure in information science. This work models an approach to determine the weights of decision makers by using an entropy measure. A new normalized projection as a separation measure, along with TOPSIS (technique for order preference by similarity to ideal solution) technique, is used for current decision model. The attribute values in current model are characterized by exact values and intervals. A comparison and experimental analysis show the applicability, feasibility, effectiveness and advantages of the proposed method. (C) 2017 Elsevier B.V. All rights reserved.