DocumentCode
2650169
Title
Dynamic Linguistic Preference Relations and Their Use in Multi-Period Decision Making
Author
Ze-shui, XU
Author_Institution
Southeast Univ., Nanjing
fYear
2007
fDate
20-22 Aug. 2007
Firstpage
345
Lastpage
350
Abstract
Linguistic preference relations are constantly used by decision maker to express his/her preference information over alternatives in fuzzy environment where the decision maker´ preference information can not be assessed precisely in a quantitative form but may be in a qualitative one. Over the last decades, many research results both theoretically and practically have been reported on linguistic preference relations, but current research mainly focuses on the situations where all the linguistic preference relations are collected from the same period, in which time is not taken into account. In this paper, we consider the decision making problems where the decision maker provides individual linguistic preference relations at different periods. We first introduce the concept of dynamic linguistic preference relation, and discuss some results related to dynamic linguistic preference relations and their aggregation technique. Then we develop an approach to multi-period decision making based on linguistic preference relations, and finally, we illustrate in detail the approach with a practical example.
Keywords
computational linguistics; decision making; fuzzy set theory; aggregation; decision fuzzy environment; dynamic linguistic preference relations; multiperiod decision making; Aggregates; Conference management; Decision making; Educational institutions; Engineering management; Environmental economics; Environmental management; Open wireless architecture; Process design; Quality management; dynamic linguistic aggregation operator; dynamic linguistic preference relations; multi-period decision making;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering, 2007. ICMSE 2007. International Conference on
Conference_Location
Harbin
Print_ISBN
978-7-88358-080-5
Electronic_ISBN
978-7-88358-080-5
Type
conf
DOI
10.1109/ICMSE.2007.4421871
Filename
4421871
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