犹豫模糊偏好关系的改进及最优化决策方法研究  

Research on Improvement of Hesitant Fuzzy Preference Relations and Optimization Decision-making Methods

作　　者：王丽芳[1] 付明[2] WANG Lifang;FU Ming(School of International Trade and Economics,Anhui University of Finance and Economics,Bengbu 233030,China;School of Management Science and Engineering,Anhui University of Finance and Economics,Bengbu 233030,China)

机构地区：[1]安徽财经大学国际经济贸易学院,安徽蚌埠233030 [2]安徽财经大学管理科学与工程学院,安徽蚌埠233030

出　　处：《长春大学学报》2025年第1期32-40,共9页Journal of Changchun University

基　　金：国家社会科学基金项目(23BGL065);安徽省哲学社会科学规划项目(AHSKY2022D055);安徽省教育厅项目(2022AH050555)。

摘　　要：提出了拓展型积性犹豫模糊偏好集,大大地拓展了评测值的取值范围,从而从源头上提升了算法的分辨能力。提出了转换函数,能够将犹豫模糊偏好集转换为拓展型积性犹豫模糊偏好集,为后续算法得到统一奠定基础。端点值处理算法的提出既能突出端点值的独特作用又能避免算法陷入单值决策难题。最后,通过创新能力和培养方案评测这类模糊问题的系列定量实验,证明了理论的有效性和合理性。An extended product hesitant fuzzy preference set is proposed,which greatly expands the range of evaluation 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.

关 键 词：创新能力评测 犹豫模糊偏好关系 最优化决策 

分 类 号：F124.3[经济管理—世界经济]