DocumentCode :
2559771
Title :
Dynamic linguistic weighted geometric mean operator and its application to multiple periods decision making
Author :
Wei, Guiwu ; Wang, Xiaorong
Author_Institution :
Dept. of Econ. & Manage., Chongqing Univ. of Arts & Sci., Chongqing
fYear :
2008
fDate :
2-4 July 2008
Firstpage :
1909
Lastpage :
1912
Abstract :
With respect to multiple periods multiple attribute decision making problems with multiplicative linguistic preference relations. Definition and some operational laws of linguistic variables are introduced, and two new operators called dynamic linguistic geometric mean (DLGM) operator and dynamic linguistic weighted geometric mean (DLWGM) operator are presented. A model based on DLWGM and DLGM operators is developed to solve the multiple periods multiple attribute decision making problems which the attribute values takes the form of multiplicative linguistic preference relations collected t different periods. Then the DLWGM operator is utilized to aggregate the overall multiplicative linguistic preference corresponding to each alternative, and then rank the alternatives and select the most desirable one(s). Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.
Keywords :
computational linguistics; decision making; dynamic linguistic weighted geometric mean operator; multiple attribute decision making; multiple periods decision making; multiplicative linguistic preference relations; Decision making; Dynamic linguistic geometric mean (DLGM) operator; Dynamic linguistic weighted geometric mean (DLWGM) operator; Multiple periods multiple attribute decision making; Multiplicative linguistic preference relations; Operational laws;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
Type :
conf
DOI :
10.1109/CCDC.2008.4597657
Filename :
4597657
Link To Document :
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