共查询到17条相似文献,搜索用时 171 毫秒
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研究具有不同形式偏好信息的群决策问题。在描述效用值、序关系值、模糊判断矩阵和AHP判断矩阵等4种形式偏好信息的基础上,首先给出将不同形式的偏好信息转化为模糊判断矩阵形式的计算公式,然后基于OWA算子给出集结各决策偏好信息和方案优选的方法,最后用一个算例证明了所提出方法的有效性。 相似文献
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针对具有序关系值、效用值、互反判断矩阵、互补判断矩阵、区间模糊数、三角模糊数六种不同偏好评价信息的群决策问题,根据偏好信息的实际意义,通过转换函数将不同偏好信息一致化为二元语义判断矩阵形式,阐明转化方法的合理性与有效性,采用二元语义加权算术平均(T-WAA)算子集结转化后的二元语义判断矩阵,得到群体二元语义判断矩阵,基于二元语义有序加权平均(T-OWA)算子计算某方案优于其他所有方案的整体偏好程度,从而对方案排序择优。算例分析表明该群决策方法的有效性与合理性。 相似文献
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基于方案偏好和部分权重信息的模糊多属性决策方法 总被引:4,自引:0,他引:4
研究了只有部分权重信息且决策者对方案的偏好信息以三角模糊数互反判断矩阵形式给出的模糊多属性决策问题.首先为得到属性权重,给出一种结合主观模糊偏好信息和客观决策信息的极小化极大偏差模型;然后,运用加性加权法求出各方案的模糊综合属性值,并利用已有的三角模糊数排序公式求得决策方案的排序;最后,通过算例说明了该方法的可行性和有效性. 相似文献
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针对方案选择过程中专家倾向于采用不同偏好信息的问题,提出了考虑多种偏好信息的方案选择方法。专家可以从方案集中选择出子集,从效用值、偏好次序、互反判断矩阵和模糊偏好关系四种形式中选择一种对方案子集进行评价;采用转化函数将专家给出的偏好信息转化为偏好向量;根据各个专家的偏好向量集结方案分类结果;将结果用于反馈调整各专家的方案子集;最后通过多个阶段的反馈与调整,改进群体一致性以获得最优方案。将该方法用于某汽车制造商汽车零部件再制造方案的选择,验证了所提方法的有效性。 相似文献
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要瑞璞 《计算机工程与应用》2010,46(22):32-33
研究指标权重信息未知且对方案有偏好的Vague集多属性决策问题。首先将决策信息和偏好信息的Vague值转化为模糊值,进一步将偏好信息转化为互补判断矩阵,从而建立目标规划模型,通过求解该模型得各指标的权重,并通过求解各方案综合属性值对方案进行排序和择优。最后给出算例。 相似文献
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针对当前X射线数字化实时成像检测技术的广泛应用,研究了决策信息以三角模糊数互补判断矩阵形式给出的有限方案决策问题,给出了一种模糊有序加权平均(FOWA)算子,利用该算子对以三角模糊数互补判断矩阵形式给出的判断信息进行了集结。基于FOWG算子及互补判断矩阵排序公式,给出了一种对决策方案进行排序和择优的算法。利用该算法对长输管道钢质对接焊缝X射线数字化实时成像检测方案进行排序和择优,最后通过算例说明了该方法的有效性和实用性。 相似文献
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研究只有部分权重信息且对方案有偏好的多属性决策问题.首先对方案的偏好信息以互反判断矩阵和互补判断矩阵这两种形式给出的情形,分别建立一个目标规划模型,通过求解这两个模型可确定属性的权重;然后提出一种基于目标规划模型的多属性决策方法;最后通过实例说明了该方法的可行性和有效性。 相似文献
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Multiple-attribute group decision making with different formats of preference information on attributes. 总被引:1,自引:0,他引:1
Zeshui Xu 《IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics》2007,37(6):1500-1511
Interval utility values, interval fuzzy preference relations, and interval multiplicative preference relations are three common uncertain-preference formats used by decision-makers to provide their preference information in the process of decision making under fuzziness. This paper is devoted in investigating multiple-attribute group-decision-making problems where the attribute values are not precisely known but the value ranges can be obtained, and the decision-makers provide their preference information over attributes by three different uncertain-preference formats i.e., 1) interval utility values; 2) interval fuzzy preference relations; and 3) interval multiplicative preference relations. We first utilize some functions to normalize the uncertain decision matrix and then transform it into an expected decision matrix. We establish a goal-programming model to integrate the expected decision matrix and all three different uncertain-preference formats from which the attribute weights and the overall attribute values of alternatives can be obtained. Then, we use the derived overall attribute values to get the ranking of the given alternatives and to select the best one(s). The model not only can reflect both the subjective considerations of all decision-makers and the objective information but also can avoid losing and distorting the given objective and subjective decision information in the process of information integration. Furthermore, we establish some models to solve the multiple-attribute group-decision-making problems with three different preference formats: 1) utility values; 2) fuzzy preference relations; and 3) multiplicative preference relations. Finally, we illustrate the applicability and effectiveness of the developed models with two practical examples. 相似文献
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《IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics》2008,38(5):1356-1370
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Multiple attribute decision making (MADM) problems are the most encountered problems in decision making. Fuzziness is inherent in decision making process and linguistic variables are well suited to assessing an alternative on qualitative attributes using fuzzy rating. A few techniques in MADM assess the weights of attributes based on preference information on alternatives. But they are not practical any more when the set of all paired comparison judgments from decision makers (DMs) on attributes are not crisp and also we have to deal with fuzzy decision matrix. This paper investigates the generation of a possibilistic model for multidimensional analysis of preference (LINMAP). The model assesses the fuzzy weights as well as locating the ideal solution with fuzzy decision making preference on attributes and fuzzy decision matrix. All of the information is assumed as triangular fuzzy numbers (TFNs). This method is developed in group decision making environments and formulates the problem as a possibilistic programming with multiple objectives. 相似文献
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研究了具有模糊偏好信息的模糊多属性决策问题.提出一种结合主观偏好信息与客观信息的综合特征向量方法.主观偏好信息由决策方案的模糊偏好互补矩阵和属性权重的两两比较互反矩阵组成,客观信息由客观决策矩阵组成.给出了求解模糊多属性决策问题的最小二乘偏差估计方法.通过建立二次规划模型决定属性权重向量,并对方案进行排序.最后,给出了使用该方法的数值例子. 相似文献