The multiple attribute decision making problems are studied, in which the information about attribute weights is partly known and the attribute values take the form of intuitionistic fuzzy numbers. The operational law...The multiple attribute decision making problems are studied, in which the information about attribute weights is partly known and the attribute values take the form of intuitionistic fuzzy numbers. The operational laws of intuitionistic fuzzy numbers are introduced, and the score function and accuracy function are presented to compare the intuitionistic fuzzy numbers. The intuitionistic fuzzy ordered weighted averaging （IFOWA） operator which is an extension of the well-known ordered weighted averaging （OWA） operator is investigated to aggregate the intuitionistic fuzzy information. In order to determine the weights of intuitionistic fuzzy ordered weighted averaging operator, a linear goal programming procedure is proposed for learning the weights from data. Finally, an example is illustrated to verify the effectiveness and practicability of the developed method.展开更多
文章基于直觉模糊集和逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS)决策理论,探讨了直觉模糊权重的确定方法,构建了可综合考虑指标模糊不确定性与主、客观权重的路面性能耦合评价模型,并...文章基于直觉模糊集和逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS)决策理论,探讨了直觉模糊权重的确定方法,构建了可综合考虑指标模糊不确定性与主、客观权重的路面性能耦合评价模型,并应用于实例分析。实例应用及与其他方法对比结果表明,该耦合模型应用于路面性能评价是有效可行的,取得了较好效果,既克服了单独应用主观权重或客观权重评价路面性能的缺陷,又能解决以往路面性能评价方法只考虑隶属度而忽略非隶属度影响的局限性问题。展开更多
基金supported by the National Natural Science Foundation of China (70771025)the Fundamental Research Funds for the Central Universities of Hohai University (2009B04514)Humanities and Social Sciences Foundations of Ministry of Education of China(10YJA630067)
文摘The multiple attribute decision making problems are studied, in which the information about attribute weights is partly known and the attribute values take the form of intuitionistic fuzzy numbers. The operational laws of intuitionistic fuzzy numbers are introduced, and the score function and accuracy function are presented to compare the intuitionistic fuzzy numbers. The intuitionistic fuzzy ordered weighted averaging （IFOWA） operator which is an extension of the well-known ordered weighted averaging （OWA） operator is investigated to aggregate the intuitionistic fuzzy information. In order to determine the weights of intuitionistic fuzzy ordered weighted averaging operator, a linear goal programming procedure is proposed for learning the weights from data. Finally, an example is illustrated to verify the effectiveness and practicability of the developed method.
文摘文章基于直觉模糊集和逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS)决策理论,探讨了直觉模糊权重的确定方法,构建了可综合考虑指标模糊不确定性与主、客观权重的路面性能耦合评价模型,并应用于实例分析。实例应用及与其他方法对比结果表明,该耦合模型应用于路面性能评价是有效可行的,取得了较好效果,既克服了单独应用主观权重或客观权重评价路面性能的缺陷,又能解决以往路面性能评价方法只考虑隶属度而忽略非隶属度影响的局限性问题。
