基于熵权的单值直觉中智集的多属性决策方法及其应用

Multi-attribute Decision Making of Single-valued Intuitionistic Neutrosophic Sets Based on Entropy Weight and Its Application

考虑到单值直觉中智集能更加准确描述不确定性、不一致性、不连续性信息,基于熵权TODIM和TOPSIS融合方法,建立了单值直觉中智集环境下的熵权TODIM和TOPSIS融合模型,并且将其应用于解决多属性决策问题.通过两个实际案例分析了该方法的可行性和有效性,并将该方法与常用的方法进行对比.结果表明,单值直觉中智集环境下的熵权多属性决策方法能够给出合理可行的决策方案,并且更加贴切地处理不确定信息,有助于人们进行决策.

Considering that single-valued intuitionistic neutrosophic sets could describe uncertainty,inconsistency and discontinuity information more accurately,based on entropy weight TODIM and TOPSIS fusion method,the fusion model of entropy-weighted TODIM and TOPSIS under single-valued intuitionistic neutrosophic sets’environment is established,and it is applied to solve multi-attribute decision-making problems.The feasibility and effectiveness of this approach is analyzed through two practical cases including teacher recruitment and project investment of alternative companies,and the approach is compared with the commonly used methods.The results show that the multi-attribute decision-making method with entropy weight can give reasonable and feasible decision scheme and deal with uncertain information more appropriately,which is helpful for people to make decisions.