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Study on dynamic Vague sets based on fuzzy multiple attribute decision making

Author: HuangYan
Tutor: WangYuanLiang
School: Yunnan University of Finance
Course: Applied Computer Technology
Keywords: Vague sets the dynamic fuzzy multi-attribute decision TOPSIS thegrey correlation the decision analysis
CLC: TP18
Type: Master's thesis
Year: 2013
Downloads: 15
Quote: 0
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Abstract


With the further research and development of intelligent systems, as animportant soft computing method, the application of Vague sets will be more andmore wide. In view of the current development situation of Vague sets, this paper is tostudy the fuzzy multi-attribute decision analysis of dynamic Vague sets, it is that therelevant information is from different periods or different stages. Before this somescholars are mostly to study static Vague sets, it is that the relevant data information isfrom the same period or the same stage. However, in many practical problems, suchas in different stages the goods sales condition of an online store, the optimization andevaluation of many project plans, the selection of bank investments and so on, thedata information is often produced in different periods or different stages. So thestudy about the fuzzy multi-attribute decision of dynamic Vague sets is a verymeaningful topic.This paper is studying the fuzzy multi-attribute decision of dynamic Vague setsbasing on the static Vague sets. Firstly, it introduces the background of Vague setstheory, research status and development prospects; Secondly, it introduces theoverview of Fuzzy sets and Vague sets, including the concept of Fuzzy sets and Vaguesets, the nature and the operation of Vague sets; Thirdly, it introduces the basicknowledge of the fuzzy multi-attribute decision of dynamic Vague sets; Then, itstudies the fuzzy multi-attribute decision of dynamic Vague sets basing two analysismethods, the two methods are TOPSIS and the grey correlation analysis methods;Lastly, it is the example analysis, by means of the calculation and comparison of theabove two methods, then I do some improvements for the defects, and that is thecombination of the two methods, the results verify the effectiveness of the method.

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