Multiple Attribute Variable Weight Fuzzy Decision-Making Based on Optimistic Coefficient Method.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Additional Information
    • Abstract:
      This paper first discusses the establishment of multi-attribute decision problem model and the determination of weights. Then this paper points out a situation that the method of updating weights using the fixed weight vector cannot effectively describe the weights' variation when the state vector is continuously changing. To get rid of this problem, an iterative weight updating method is proposed. Finally, based on the existing optimistic coefficient method, the influence of high-order terms is discussed: updating weights with the fixed weight vector and updating weights with iteration. Experiments show that the higher-order terms in the state variable weight vector have a negative effect on the decision result. [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of International Journal of Fuzzy Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)