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Content Provider | IEEE Xplore Digital Library |
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Author | Xuan Li Xinping Xiao |
Copyright Year | 2011 |
Description | Author affiliation: College of Science, Wuhan University of Technology, China (Xuan Li; Xinping Xiao) |
Abstract | Because attribute weights may affect the ranking results of alternatives, one important problem in hybrid multiple attribute decision-making is to determine attribute weights of different types of data. To obtain the mixed entropy weight, we define the entropy values of precise number, interval number and fuzzy number. Then we get the grey relational weight based on ideal solution. Next we combine two weights above by using the relative entropy model. The combined weight not only reflects the difference of attribute values, but also reflects the closeness to the ideal solution. Finally, an example is proposed to prove that the new method is rational and effective. |
Starting Page | 561 |
Ending Page | 565 |
File Size | 333584 |
Page Count | 5 |
File Format | |
ISBN | 9781612844909 |
e-ISBN | 9781612844916 |
DOI | 10.1109/GSIS.2011.6044044 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-09-15 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | mixed entropy weight hybrid multiple attribute decision-making grey relational degree relative entropy Entropy |
Content Type | Text |
Resource Type | Article |
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