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A Method for Multiple Attribute Decision Making Based on the Fusion of Multisource Information

Author

Listed:
  • F. W. Zhang
  • S. H. Xu
  • B. J. Wang
  • Z. J. Wu

Abstract

We propose a new method for the multiple attribute decision making problem. In this problem, the decision making information assembles multiple source data. Two main advantages of this proposed approach are that (i) it provides a data fusion technique, which can efficiently deal with the multisource decision making information; (ii) it can produce the degree of credibility of the entire decision making. The proposed method performs very well especially for the scenario that there exists conflict among the multiple source information. Finally, a traffic engineering example is given to illustrate the effect of our method.

Suggested Citation

  • F. W. Zhang & S. H. Xu & B. J. Wang & Z. J. Wu, 2014. "A Method for Multiple Attribute Decision Making Based on the Fusion of Multisource Information," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
    • Handle: RePEc:wly:jnlaaa:v:2014:y:2014:i:1:n:972159
    DOI: 10.1155/2014/972159
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    References listed on IDEAS

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    1. Nigel Ford, 2004. "Creativity and convergence in information science research: The roles of objectivity and subjectivity, constraint, and control," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(13), pages 1169-1182, November.
    2. James S. Dyer & Peter C. Fishburn & Ralph E. Steuer & Jyrki Wallenius & Stanley Zionts, 1992. "Multiple Criteria Decision Making, Multiattribute Utility Theory: The Next Ten Years," Management Science, INFORMS, vol. 38(5), pages 645-654, May.
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    Cited by:

    1. Nuojin Zhu & Huaiqiang Zhang & Yang Yang & Boyuan Shi & Kun Gao, 2023. "Equipment Development Scheme Decision Based on IFS‐Choquet Integral Improved Matter Element Model," Mathematical Problems in Engineering, John Wiley & Sons, vol. 2023(1).

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