A Modified D Numbers’ Integration for Multiple Attributes Decision Making
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40815_2017_323_ReferencePDF.pdf
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Author(s)
Wang, Ningkui
Liu, Xianming
Wei, Daijun
Date Issued
April 2017
Journal
International Journal of Fuzzy Systems
Publisher
Springer Berlin Heidelberg
Citation
Wang, Ningkui, Xianming Liu, and Daijun Wei. “A Modified D Numbers’ Integration for Multiple Attributes Decision Making.” International Journal of Fuzzy Systems, vol. 20, no. 1, Jan. 2018, pp. 104–115.
Version
Author's final manuscript
Abstract
For multiple attributes decision making, D numbers theory has been widely used to deal with uncertain and incomplete information. However, the incomplete information is abandoned in the D numbers’ integration representation. This results in unreasonable conclusions in some real-world applications. To overcome this drawback, this paper proposes an improved D numbers’ integration representation method, by effectively allocating the incomplete information into decision making according to the original value of D numbers. The proposed method is applied to assess the performance of different types of motorcycles. The results show that the proposed method can effectively increase both the accuracy and efficiency of assessment when compared with the original D numbers theory. Keywords:
Uncertainty, Incompleteness, MADM, D numbers theory, D numbers’ integration representation
MIT Department
Massachusetts Institute of Technology. Laboratory for Nuclear Science
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1007/s40815-017-0323-0
