DocumentCode :
2905897
Title :
An OWA Operator Based Approach to Aggregate Group Opinion by Similarity Degree
Author :
Wu, Jian ; Cao, Qing-Wei
Author_Institution :
Sch. of Econ. & Manage., Zhejiang Normal Univ., Jinhua, China
fYear :
2011
fDate :
17-18 Oct. 2011
Firstpage :
665
Lastpage :
667
Abstract :
The aim of this paper is to develop an approach for determining OWA operator weight. First, we provide a briefly overview of the main approaches for obtaining the OWA weights with a predefined degree of orness. Then we give the definition of similarity degree of two arguments. Based on this similarity degree, we propose an approach to determine OWA operator weight, which need not complicated computation. Finally, a numerical example is provided to illustrate the application of the proposed approach.
Keywords :
knowledge based systems; OWA operator weight; aggregate group opinion; ordered weighted averaging; similarity degree; Educational institutions; Entropy; Intelligent systems; Open wireless architecture; Optimization; Vectors; Weight measurement; OWA operator; Operator weights; Similarity degree;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Business Intelligence and Financial Engineering (BIFE), 2011 Fourth International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-1541-9
Type :
conf
DOI :
10.1109/BIFE.2011.13
Filename :
6121228
Link To Document :
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