Research on Multi-Attribute Decision-Making Method Based on Fuzzy Set Theory

In the multi-attribute decision making theory (MADM), fuzzy multi-attribute decision making theory is an important aspect. And in practical problem, some index can't be expressed by certain number, just only expressed by linguistic words, under this situation, we must use fuzzy decision making...

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Bibliographic Details
Published in2008 Second International Symposium on Intelligent Information Technology Application Vol. 1; pp. 482 - 485
Main Authors Zhang Wei, Zhu Jinfu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2008
Subjects
Decision making
Decision-Making Method
Educational institutions
Finance
Fuzzy neural networks
Fuzzy Set
Fuzzy set theory
Humans
Information technology
Least squares approximation
Multi-Attribute
Neural networks
Neurons
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Summary:In the multi-attribute decision making theory (MADM), fuzzy multi-attribute decision making theory is an important aspect. And in practical problem, some index can't be expressed by certain number, just only expressed by linguistic words, under this situation, we must use fuzzy decision making method. This paper uses fuzzy LMS neural network to determinate weight, this method has the advantage of evaluating these factors both subjectively and objectively, by using subjective data and objective data, therefore can lead to more reasonable and meaningful conclusions. Through the factors' weights training, we can obtain the important degree of factors (weight determination). Then according to the weight we obtained, we use the TOPSIS algorithm to make decision. At last the numerical illustrations prove the new model to be effective and scientific.
ISBN:9780769534978
076953497X
DOI:10.1109/IITA.2008.489