Research on Improvement of Hesitant Fuzzy Preference Relations and Optimization Decision-making Methods
An extended product hesitant fuzzy preference set is proposed,which greatly expands the range of eval-uation values,thereby enhancing the discrimination ability of the algorithm from the source.A conversion function is proposed,which can convert the hesitant fuzzy preference set into the extended product hesitant fuzzy preference set,laying the foundation for the unification of the subsequent algorithms.The endpoint value processing algorithm proposed can not only highlight the unique role of endpoint value,but also avoid the algorithm from falling into the problem of single value decision.Finally,through a series of quantitative experiments on the evaluation of such fuzzy problems through innovation ability and training programs,the validity and rationality of the theory are proved.
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