【摘要】 研究了属性值为实数、且决策者对属性的偏好信息以直觉判断矩阵或残缺直觉判断形式给出的直觉模糊多属性决策问题.首先介绍了直觉判断矩阵、一致性直觉判断矩阵、残缺直觉判断矩阵、一致性残缺直觉判断矩阵等概念,然后分别建立了基于直觉判断矩阵和基于残缺直觉判断矩阵的多属性决策模型,并且建立了基于直觉判断矩阵和残缺直觉判断矩阵的多属性群决策模型,进而给出了基于不同直觉偏好结构的多属性决策方法.该方法无需对不同偏好结构进行一致化处理,可直接通过求解模型得到最优权重向量,因而避免了一致化所导致的决策信息的失真和丢失.最后应用上述方法对江苏省企业技术创新能力进行了评估.更多还原

【Abstract】 The intuitionistic fuzzy multiple attribute decision making problems are investigated,where the attribute values are given as real numbers and the decision makers have preference information on attributes.The provided preference information is expressed in the form of intuitionistic judgment matrix or incomplete intuitionistic judgment matrix.Some concepts,such as intuitionistic judgment matrix,consistent intuitionistic judgment matrix,incomplete intuitionistic judgment matrix,and consistent incomplete intuitionistic judgment matrix,are introduced.Then,two models are established for multiple attribute decision making based on intuitionistic judgment matrix and incomplete intuitionistic judgment matrix,respectively,and a model is established for multiple attribute group decision making based on intuitionistic judgment matrices and incomplete intuitionistic judgment matrices.Furthermore,an approach is developed to multiple attribute decision making based on different intuitionistic preference structures. The method does not need to unify different preference structures and can derive the optimal weight vector from the established model directly,which can avoid losing or distorting the original preference information in the process of unifying the structures.Finally,the developed approach is applied to the evaluation of the competence of enterprise technology innovation in Jiangsu province.更多还原