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fuzzy consistency
    A Improved Method for Constructing Judgement Matrix with Fuzzy Consistency
    一种改进的模糊一致性判断矩阵构造方法
    Evaluation model of water pollution control project in region is constructed by using relation between fuzzy consistency matrix and its weights.
    运用模糊一致性矩阵与其权重的关系构造了区域水污染控制方案的评价模型。
    Fuzzy idea is introduced to AHP, the evaluation model is constructed by using relation between fuzzy consistency matrix and its weights, and adopting accelerating genetic algorithm to solve the model. The evaluation examples show that the result is reasonable and effective.
    将模糊思想引入AHP中,运用模糊一致性矩阵与其权重的关系构造评价模型,采用加速遗传算法来求解这个模型,从而得到评价指标的排序权重,将其应用到水污染控制方案的优选中,评价结果合理且有效。
    Based on document[l], this paper presents a improved method for constructing judgement matrix with fuzzy consistency. Two criteria of testing consistency are also given.
    本文在文献[1]的基础上,提出了一种改进的模糊一致性判断矩阵构造方法,并给出了两个检验一致性的标准。
    his paper presents a new scale in fuzzy AHP,we use it to construct relatively complemented judgement matrix and utilize judgement matrix with fuzzy consistency to derive priority vector,two criteria for checking consistency of judgement matrix are also given. 
    文章提出了模糊环境中AHP的一种新标度,运用它构造互补判断矩阵,利用模糊一致性矩阵直接求出排序向量,并给出了两个检验一致性的标准。
    An optimal fuzzy consistency judgement matrix A, consistency index function and its critical values are presented. A new algorithm is proposed to check and modify the consistency of matrix A and to compute the preferential values of each scheme at the same time using accelerating genetic algorithm improved by the authors.
    提出了A的最优模糊一致性判断矩阵、一致性指标函数和一致性指标临界值,研制了用加速遗传算法检验、修正A的一致性,并同时计算A各方案优度值的新算法。
    Optimal fuzzy consistency judgement matrix, consistency index function and consistency index critical value of matrix A are presented in order to make the most of consistency information of matrix A ,and to improve believable degree of computed preference values of matrix A.
    为充分利用A的一致性信息和提高A的优度值计算结果的可信程度,提出了A的最优模糊一致性判断矩阵、一致性指标函数和一致性指标临界值。
    By using the definition 2.1,prefererce ordering preference in formation of each decision maker can be transformed into his/her complementary judgement matrices . In this paper,it is prover that the complementary judgement matrices are fuzzy consistency judgement matrices. The normalizing rank aggregation method of group complementary judgement matrices is utilized to order alternatives.
    利用定义2.1可把每位决策者给出的偏好次序型偏好信息转化为该决策者的模糊互补判断矩阵,并证明了此模糊互补判断矩阵是模糊一致性互补判断矩阵,再利用群组互补判断矩阵的行和归一化,对决策方案进行排序择优,并说明了此排序方法是强条件下保序的,最后给出算例.
 

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