共查询到19条相似文献,搜索用时 93 毫秒
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基于加权相似性测度的直觉模糊近似推理 总被引:1,自引:1,他引:0
在可信度传播的基础上,提出一种加权相似性测度的直觉模糊近似推理方法.运用实例分析现有典型方法的不足,针对带有可信度因子的直觉模糊近似推理的3种形式,综合研究了直觉模糊集隶属度、非隶属度和犹豫度对相似性测度的影响,给出一种考虑权重的相似性测度方法,并将其运用到直觉模糊近似推理中.通过实例以及与同类推理算法比较,结果表明了该推理算法的合理性和可行性. 相似文献
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将二型直觉模糊集和粗糙集理论融合,建立二型直觉模糊粗糙集模型。首先,在二型直觉模糊近似空间中,定义了一对二型直觉模糊上、下近似算子,并讨论了二型直觉模糊关系退化为普通二型模糊关系和一般等价关系时,上、下近似算子的具体变化形式。然后,将普通二型模糊集之间包含关系的定义推广到了二型直觉模糊集,在此基础上研究了二型直觉模糊上、下近似算子的一些性质。最后,定义了自反的、对称的和传递的二型直觉模糊关系,并讨论了这3种特殊的二型直觉模糊关系与近似算子的特征之间的联系。该结论进一步丰富了二型模糊集理论和粗糙集理论,为二型直觉模糊信息系统的应用奠定了良好的理论基础。 相似文献
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直觉模糊逻辑的语义算子研究 总被引:29,自引:3,他引:29
首先引用Atanassov直觉模糊集的基本概念和运算。在阐明直觉模糊集的集中、扩张、归一化算子之后,新定义了强化算子。通过考察Atanassov直觉模糊集与Zadeh模糊集之间的关系,给出了直觉模糊语言、结构化直觉模糊语言和直觉模糊语义的数学描述,重点对基于直觉模糊集和直觉模糊关系的模糊语言的语义算子,如语气算子、模糊化算子、判定化算子及连接与否定算子等进行了研究,并举例阐明其应用,使直觉模糊逻辑的语义算子得到进一步的拓广。 相似文献
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针对现有时序逻辑对复杂不确定时间信息描述和推理方面的局限性,定义了直觉模糊不确定时间区间与时间间隔,构造了未知时刻的直觉模糊时序逻辑(IFTL)预测模型,提出了基于IFTL的不确定时间推理方法,较好地解决了时间推理精度不高的问题。同时,定义了直觉模糊集间的重叠度,并提出了基于此的知识模型及时间网络的一致性检验方法。最后通过典型实例验证了所提出的时间推理方法的有效性和优越性。 相似文献
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为了验证Mamdani直觉模糊推理的正确性,将模糊集中定义的Mamdani模糊关系进行直觉化扩展,从而定义了Mamdani直觉模糊推理关系.通过Matlab绘制出Mamdani直觉模糊蕴涵关系Rm的三维图像,包括蕴含关系的隶属度、非隶属度、犹豫度图像.利用该蕴含关系,通过具体实例仿真结果表明了该蕴含关系推理的正确性与有效性,并将单前件单规则推理推广到了多前件多规则推理. 相似文献
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在直觉模糊关系再研究的基础上,提出了传递的直觉模糊关系、传递闭包核算子及其性质,得出了直觉模糊关系的极小定理。利用直觉模糊关系合成运算及其性质给出传递的直觉模糊关系、直觉模糊关系的传递闭包算子。利用直觉模糊关系的性质得出了传递闭包的计算公式和性质,并给出必要的证明。当R是对称的,通过自反闭包算子、对称闭包算子、传递闭包算子作用R,可最多得出6个彼此不同的直觉模糊关系。 相似文献
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基于蕴涵的区间值直觉模糊粗糙集 总被引:3,自引:0,他引:3
提出一种基于区间值直觉模糊蕴涵的区间值直觉模糊粗糙集模型.首先,介绍了区间值直觉模糊集、区间值直觉模糊关系和区间值直觉模糊逻辑算子的概念;然后,利用区间值直觉模糊三角模和区间值直觉模糊蕴涵,在区间值直觉模糊近似空间中定义了区间值直觉模糊集的上近似和下近似;最后,给出并证明了这些近似算子的一些性质. 相似文献
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针对属性取值以直觉模糊数形式给出的多属性决策问题,提出了基于直觉模糊推理的多属性群决策方法。首先针对专家的评价信息构建直觉决策推理规则,然后根据规则之间的关系给出了决策推理模型,进而给出了基于直觉模糊推理的决策方法;最后通过购房实例验证了该方法的正确性和有效性。 相似文献
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针对直觉模糊粗糙逻辑(IFRL)推理的规则库检验问题,提出了IFRL规则库的互作用性检验方法.互作用性检验是逻辑规则库检验的一项重要内容,它可以有效地分析出规则间的关系.利用直觉模糊粗糙集(IFRS)及其包含关系的概念,提出了正规IFRS和IFRL规则库的互作用性定义.在此基础上,将直觉模糊逻辑(IFL)的3个定理推广到IFRL领域,并给予了证明.提出的互作用性定义和推广后的3个定理可以作为检验规则间互作用性的方法. 相似文献
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Zeshui Xu 《Information Sciences》2007,177(11):2363-2379
Intuitionistic fuzzy set, characterized by a membership function and a non-membership function, was introduced by Atanassov [Intuitionistic fuzzy sets, Fuzzy Sets and Systems 20 (1986) 87-96]. In this paper, we define the concepts of intuitionistic preference relation, consistent intuitionistic preference relation, incomplete intuitionistic preference relation and acceptable intuitionistic preference relation, and study their various properties. We develop an approach to group decision making based on intuitionistic preference relations and an approach to group decision making based on incomplete intuitionistic preference relations respectively, in which the intuitionistic fuzzy arithmetic averaging operator and intuitionistic fuzzy weighted arithmetic averaging operator are used to aggregate intuitionistic preference information, and the score function and accuracy function are applied to the ranking and selection of alternatives. Finally, a practical example is provided to illustrate the developed approaches. 相似文献
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在基于扩展二值逻辑的直觉模糊蕴涵式运算方法的基础上,提出了一种新的直觉模糊近似推理方法,该方法系统而全面地概括了直觉模糊集的蕴涵关系和直觉模糊近似推理方法。通过实例验证了所提出的直觉模糊近似推理方法的有效性和正确性。 相似文献
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The aim of this paper is to investigate decision making problems with interval-valued intuitionistic fuzzy preference information, in which the preferences provided by the decision maker over alternatives are incomplete or uncertain. We define some new preference relations, including additive consistent incomplete interval-valued intuitionistic fuzzy preference relation, multiplicative consistent incomplete interval-valued intuitionistic fuzzy preference relation and acceptable incomplete interval-valued intuitionistic fuzzy preference relation. Based on the arithmetic average and the geometric mean, respectively, we give two procedures for extending the acceptable incomplete interval-valued intuitionistic fuzzy preference relations to the complete interval-valued intuitionistic fuzzy preference relations. Then, by using the interval-valued intuitionistic fuzzy averaging operator or the interval-valued intuitionistic fuzzy geometric operator, an approach is given to decision making based on the incomplete interval-valued intuitionistic fuzzy preference relation, and the developed approach is applied to a practical problem. It is worth pointing out that if the interval-valued intuitionistic fuzzy preference relation is reduced to the real-valued intuitionistic fuzzy preference relation, then all the above results are also reduced to the counterparts, which can be applied to solve the decision making problems with incomplete intuitionistic fuzzy preference information. 相似文献
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Shyi-Ming Chen Li-Wei Lee Hsiang-Chuan Liu Szu-Wei Yang 《Expert systems with applications》2012,39(12):10343-10351
In this paper, we present a new multiattribute decision making method based on the proposed interval-valued intuitionistic fuzzy weighted average operator and the proposed fuzzy ranking method for intuitionistic fuzzy values. First, we briefly review the concepts of interval-valued intuitionistic fuzzy sets and the Karnik–Mendel algorithms. Then, we propose the intuitionistic fuzzy weighted average operator and interval-valued intuitionistic fuzzy weighted average operator, based on the traditional weighted average method and the Karnik–Mendel algorithms. Then, we propose a fuzzy ranking method for intuitionistic fuzzy values based on likelihood-based comparison relations between intervals. Finally, we present a new multiattribute decision making method based on the proposed interval-valued intuitionistic fuzzy weighted average operator and the proposed fuzzy ranking method for intuitionistic fuzzy values. The proposed method provides us with a useful way for multiattribute decision making based on interval-valued intuitionistic fuzzy values. 相似文献