详细信息
Projection-based approach to group decision-making with hybrid information representations and application to software quality evaluation ( SCI-EXPANDED收录 EI收录) 被引量:21
文献类型:期刊文献
英文题名:Projection-based approach to group decision-making with hybrid information representations and application to software quality evaluation
作者:Yue, Chuan[1]
机构:[1]Guangdong Ocean Univ, Coll Math & Comp Sci, Zhanjiang 524088, Peoples R China
年份:2019
卷号:132
起止页码:98
外文期刊名:COMPUTERS & INDUSTRIAL ENGINEERING
收录:SCI-EXPANDED(收录号:WOS:000472693200008)、、EI(收录号:20191706818734)、Scopus(收录号:2-s2.0-85064479426)、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 in part by the Young Creative Talents Project from Department of Education of Guangdong Province (No. 2016KQNCX064) 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; Hybrid information; Software products quality
外文摘要:Group decision-making (GDM) is regarded as a main part of modem decision science. The weights of decision makers (DMs) are very important in the actual GDM process. How to determine the weights of DMs and to identify the alternatives are the main activities for GDM problems. This work is devoted to develop an entropy-based approach to determine the weights of DMs. Considering that the projection measure is able to provide not only the distance but also the angle between two decision objects, this article intends to identify the alternatives based on the projection measure. This research, however, also finds that the existing projection measures are unreasonable in real vector, interval vector and intuitionistic fuzzy vector settings. To solve this problem, this work provides a new normalized projection measure. Considering the demands of different attributes, this work presents a GDM method with hybrid information representations. An experimental analysis illustrates the practicability, feasibility and validity of method introduced in this paper.
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