DocumentCode
3471637
Title
A Multi-attribute Decision-making Method with Interval-numbers and its Application
Author
Liu, Lin ; Chen, Yunxiang ; Ge, Zhihao
Author_Institution
Air Force Eng. Univ., Xi´´an
fYear
2007
fDate
18-21 Aug. 2007
Firstpage
1100
Lastpage
1104
Abstract
In view of the limitation in describing the fuzzy evaluating values by interval-numbers which belong to the uniform distributions, a decision-making method with interval- numbers of the normal distributions is proposed. The probability measures of interval-numbers are analysed, and the method for producing interval-numbers of the normal distribution is introduced. Two fuzzy operators are designed to aggregate the fuzzy comprehensive evaluating vectors. The comprehensive evaluating values are produced by fuzzy random simulation, so the alternatives are ranked using the mean and variance of the samples. The method is applied to evaluation of alternatives about logistics centre location. Finally, an example is given to demonstrate the validity of this method.
Keywords
decision making; fuzzy set theory; normal distribution; fuzzy evaluating values; fuzzy random simulation; interval-numbers; multi-attribute decision-making method; normal distributions; uniform distributions; Aggregates; Automation; Decision making; Distributed decision making; Educational institutions; Fuzzy sets; Gaussian distribution; Logistics; Random variables; Transportation; Interval-number; Logistics center location; Multi-attribution decision-making; Normal distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location
Jinan
Print_ISBN
978-1-4244-1531-1
Type
conf
DOI
10.1109/ICAL.2007.4338732
Filename
4338732
Link To Document