DocumentCode
2913661
Title
A rough set based GDSS approach to integrate multi-type preference information
Author
Fei, Tian ; Lu, Liu ; Weijia, You
Author_Institution
Beihang Univ., Beijing
fYear
2007
fDate
18-20 Nov. 2007
Firstpage
915
Lastpage
920
Abstract
Two problems in multi-attribute group decision process are studied: integration of multi-types of preference information and making use of given decisions. And a GDSS model based on rough set is proposed, which includes seven common ways for representing preference information. An improved Sem Naive Scaler Algorithm is also suggested to decentralize the information in the rough set table. Finally, rules based on dominance-based rough set theory are applied to the information table to rank all the alternatives.
Keywords
distributed decision making; operations research; rough set theory; Sem Naive Scaler algorithm; dominance-based rough set GDSS model; multiattribute group decision process; multitype preference information; Artificial intelligence; Decision making; Decision support systems; Expert systems; Information analysis; Information systems; Intelligent systems; Machine learning; Pattern recognition; Set theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-1294-5
Electronic_ISBN
978-1-4244-1294-5
Type
conf
DOI
10.1109/GSIS.2007.4443406
Filename
4443406
Link To Document