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B-vexFuzzyMappingsandItsApplicationtoFuzzyOptimizationProblems¥LiuDefeng(InstituteofQuantitativeEconomics,DongbeiUniversityOf... 相似文献
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TheconceptofthefuzzysubgroupsintroducedinRosenfeld[l],wasappliedtogeneralizesomeofthebasicconceptsofalgebra.In[2,3,4]LuWangjindefinedfuzzysubringsandfuzzyideals,introducedtheoperationsonfuzzyidea1s.In[5]theautherdiscussedaboutthenatureoffuzzysubringsbythenestedsubring.Butthepointwisedefinitionsoffuzzysubgroupsandfuzzysubringsarerare.Inthispaper,theautherprogramsanddiscussesthefuzzysubrings,fuzzyidealsandfuzzyprimeidealsbyfuzzyPoints..5l.PreliminariesLetusrecallsomeconceptsoccurrjnginthe[2,3… 相似文献
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复模糊数及其收敛性 总被引:6,自引:2,他引:4
毕淑娟 《数学的实践与认识》2007,37(1):126-132
在新的模糊数序关系意义下,将定义在所有实模糊数上的模糊距离推广到所有复模糊数集上的模糊距离.并以此为基础,定义了复模糊数列的极限,讨论了复模糊数列的保号性、有界性等收敛性质及C auchy收敛判别法等. 相似文献
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陈伟 《数学的实践与认识》2005,35(4):1-5
主要讨论模糊数学在数学建模课程和数学建模竞赛中的应用问题.在数学建模中应当引进模糊数学方法,可以得到一些计算较为简单,更符合实际情况的数学模型. 相似文献
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综述模糊复分析学的研究进展并对其发展历史进行了简单回顾,主要介绍了近年来有关模糊复分析研究的一些主要成果,最后对该学科今后需要进一步研究的课题进行了分析和概括. 相似文献
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以往对演化博弈的研究都假设个体从博弈中获得的支付是确定的并以精确的数来表示。然而由于受环境中各种不确定因素的影响,个体博弈时所获得的支付并不是一个精确的数值,而需要用一个模糊数来表示。本文研究模糊支付下2×2的对称博弈, 利用模糊数的运算, 分析具有模糊支付的有限种群Moran过程演化动态。在弱选择下以梯形模糊数和三角模糊数表示博弈支付,计算策略的模糊扎根概率,分析自然选择有利于策略扎根及策略成为模糊演化稳定策略的条件。将经典博弈推广到模糊环境中丰富了演化博弈理论,更具有现实意义。 相似文献
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本文引入了L-Fuzzy集合上的Fuzzy值函数关于Fuzzy值Fuzzy测度的Fuzzy值Fuzzy积分的概念,给出上述概念的几个等价定义,讨论其基本性质,得到一系列积分序列的收敛定理。 相似文献
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郭嗣琮 《数学的实践与认识》2008,38(2):87-93
简述了模糊值函数分析学在具体工程实践应用中存在的困难和障碍,系统地介绍了模糊结构元方法在模糊值函数分析学中的应用,包括模糊结构元的概念、模糊数的模糊结构元表示形式、基于结构元表达形式的模糊数运算与隶属函数确定.模糊结构元方法将复杂的模糊数运算转化为一类单调有界函数的运算,不仅仅为模糊分析计算的简化提供了工具,同时也为模糊值函数分析学应用的研究开创了一条新的途径. 相似文献
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R. Badard 《Fuzzy Sets and Systems》1989,30(3):315-320
The concept of a fuzzy smooth preproximity space is introduced and studied. Also, some particular constructions of fuzzy smooth preproximity are given. A natural link is established between this concept and the concept of fuzzy pretopological spaces and fuzzy preuniform spaces. 相似文献
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On-Line Constrained Predictive Control Algorithm using Multi-Objective Fuzzy-Optimization and a Case Study 总被引:2,自引:0,他引:2
Model predictive control (MPC) has been used in process control systems with constraints, however, the constrained optimization problem involved in control systems has generally been solved in practice in a piece-meal fashion. To solve the problem systemically, in this paper, the Multi-Objective Fuzzy-Optimization (MOFO) is used in the constrained predictive control for online applications as a means of dealing with fuzzy goals and fuzzy constraints in control systems. The conventional model predictive control is integrated with the techniques from fuzzy multicriteria decision making, translating the goals and the constraints to predictive control in a transparent way. The information regarding the fuzzy goals and the fuzzy constraints of the control problem is combined by using a decision function from the fuzzy theory, so it is possible to aggregate the fuzzy goals and the fuzzy constraints using fuzzy operators, e.g. t-norms, s-norms or the convex sum. It is shown that the model predictive controller based on MOFO allows the designers a more flexible aggregation of the control objectives than the usual weighting sum of squared errors in MPC. The efficiency of the presented algorithm is validated by the visual robot path planning. 相似文献