The Theory of Membership Degree of Γ-Conclusion in Several n-Valued Logic Systems

Based on the analysis of the properties of Γ-conclusion by means of deduction theorems, completeness theorems and the theory of truth degree of formulas, the present papers introduces the concept of the membership degree of formulas A is a consequence of Γ (or Γ-conclusion) in Lukasiewicz n-valued propositional logic systems, Godel n-valued propositional logic system and the R0 n-valued propositional logic systems. The condition and related calculations of formulas A being Γ-conclusion were discussed by extent method. At the same time, some properties of membership degree of formulas A is a Γ-conclusion were given. We provide its algorithm of the membership degree of formulas A is a Γ-conclusion by the constructions of theory root.

基于模糊多判据融合的单端暂态量保护新方案

针对现有单端暂态量保护方案仅依赖单一故障特征进行故障识别导致可靠性不高的问题,提出了一种基于模糊多判据融合的单端暂态量保护新方案,实现不同单端暂态量保护方案间的优势互补。首先,分析了现有基于高低频暂态能量比值、故障初始零模/线模电压行波到达时间差以及前两个线模电压行波极性关系3种单端暂态量保护方案保护判据的特性及其动作灵敏区,在此基础上构造了相应判据的模糊隶属度函数;其次,针对不同暂态量保护方案的优缺点,基于模糊逻辑将上述3种单端暂态量保护方案进行有机融合以判别故障区段;最后,基于PSCAD/EMTDC的大量仿真,对比分析了上述3种暂态量保护方案以及所提新方案在不同故障位置、不同母线杂散电容、不同过渡电阻以及不同权重系数等条件下的适应性,验证了新方案的有效性。

模糊逻辑在海洋天气预测中的应用

海洋环境有多变性、复杂性、突发性等几个特点,这些特点导致海洋天气难以准确预测,对海上设备防腐、海上施工及人民出行和生活造成很多不便。随着社会的发展,海上工业和渔业及人民生活对天气预报准确度有更高的要求。利用精密数据采集仪器,把海洋环境的一些参数进行记录、集成,随着时间的推移、相关数据的积累,建立最大隶属度型模糊逻辑可以帮助进行更为准确的预测,从而为施工、出行、生活等各方面在天气方面提供参考,减少风险,保障安全。

基于FBPNN的火电厂锅炉故障诊断研究

在神经网络(NN)基础上,将模糊逻辑引入反向传播(BP)神经网络中,构建了模糊BP神经网络(FBPNN),并将其应用于火电厂锅炉故障诊断中。FBPNN在锅炉故障样本上进行了训练和测试,误差分析表明,与传统的标准BP网络相比,FBPNN能获得更好的锅炉故障诊断结果。

河南省科技奖励工作后评估逻辑框架构建及应用

【目的】探索河南省科技奖励工作后评估框架和指标体系,推进科技奖励工作不断完善。【方法】根据河南省科技奖励工作的特点,基于ATP通用逻辑模型构建科技奖励工作后评估逻辑框架,建立融合相关性、效率、效果和影响等评估准则的科技奖励后评估指标体系,并运用隶属度函数对后评估逻辑框架和指标体系在2022年河南省科技奖励工作后评估中的应用效果进行检验。【结果】2022年河南科技奖励工作评估结论为成功,但在奖种设置、奖励制度建设等方面有待提升。【结论】通过开展后评估工作,初步建立了科技奖励工作第三方监督和评估结果反馈机制,提升了河南省科技奖励工作的质量和整体绩效。

Improvement of Rainfall Prediction Model by Using Fuzzy Logic

This paper presents the improvement of the fuzzy inference model for predicting rainfall. Fuzzy rule based system is used in this study to predict rainfall. Fuzzy inference is the actual procedure of mapping with a given set of input and output through a set of fuzzy systems. Two operations were performed on the fuzzy logic model;the fuzzification operation and defuzzification operation. This study is obtaining two input variables and one output variable. The input variables are temperature and wind speed at a particular time and output variable is the amount of predictable rainfall. Temperature, wind speed and rainfall have to construct eight equations for different categories and which are shows the diagram of the graph. Fuzzy levels and membership functions obtained after minimum composition of inference part of the fuzzifications done for temperature and wind speed are considered as they represent the environmental condition enhance a rainfall occurrence which is effect on agricultural production.

Fuzzy Logic for Solving an Optimal Control Problem of Hypoxemic Hypoxia Tissue Blood Carbon Dioxide Exchange during Physical Activity

This paper aims at using of an approach integrating the fuzzy logic strategy for hypoxemic hypoxia tissue blood carbon dioxide human optimal control problem. To test the efficiency of this strategy, the authors propose a numerical comparison with the direct method by taking the values of determinant parameters of cardiovascular-respiratory system for a 30 years old woman in jogging as her regular physical activity. The results are in good agreement with experimental data.

Fuzzy Logic Approach for Solving an Optimal Control Problem of an Uninfected Hepatitis B Virus Dynamics

We aimed in this paper to use fuzzy logic approach to solve a hepatitis B virus optimal control problem. The approach efficiency is tested through a numerical comparison with the direct method by taking the values of determinant parameters of this disease for people administrating the drugs. Final results of both numerical methods are in good agreement with experimental data.

Fuzzy Logic Strategy for Solving an Optimal Control Problem of Glucose and Insulin in Diabetic Human

This paper aims at the development of an approach integrating the fuzzy logic strategy for a glucose and insulin in diabetic human optimal control problem. To test the efficiency of this strategy, the author proposes a numerical comparison with the indirect method. The results are in good agreement with experimental data.

Fuzzy Logic and Zadeh Algebra

In this work we create a connection between AFS (Axiomatic Fuzzy Sets) fuzzy logic systems and Zadeh algebra. Beginning with simple concepts we construct fuzzy logic concepts. Simple concepts can be interpreted semantically. The membership functions of fuzzy concepts form chains which satisfy Zadeh algebra axioms. These chains are based on important relationship condition (1) represented in the introduction where the binary relation Rm of a simple concept m is defined more general in Definition 2.10. Then every chain of membership functions forms a Zadeh algebra. It demands a lot of preliminaries before we obtain this desired result.

Fuzzy Logic Strategy for Solving an Optimal Control Problem of Therapeutic Hepatitis C Virus Dynamics

This paper aims at the development of an approach integrating the fuzzy logic strategy for a therapeutic hepatitis C virus dynamics optimal control problem. To test the efficiency of this strategy, the authors propose a numerical comparison with the direct method by taking the values of determinant parameters of this disease for people administrating the drugs. The results are in good agreement with experimental data.

Fuzzy Logic Inference Applications in Road Traffic and Parking Space Management

In modern motoring, many factors are considered to realize driving convenience and achieving safety at a reasonable cost. A drive towards effective management of traffic and parking space allocation in urban centres using intelligent software applications is currently being developed and deployed as GPS enabled service to consumers in automobiles or smartphone applications for convenience, safety and economic benefits. Building a fuzzy logic inference for such applications may have numerous approaches such as algorithms in Pascal or C-languages and of course using an effective fuzzy logic toolbox. Referring to a case report based on IrisNet project analysis, in this paper Matlab fuzzy logic toolbox is used in developing an inference for managing traffic flow and parking allocation with generalized feature that is open for modification. Being that modifications can be done within any or all among the tool’s universe of discourse, increment in the number of membership functions and changing input and output variables etc, the work here is limited within changes at input and output variables and bases of universe of discourse. The process implications is shown as plotted by the toolbox in surface and rule views, implying that the inference is flexibly open for modifications to suit area of application within reasonable time frame no matter how complex. The travel time to the parking space being an output variable in the current inference is recommended to be substituted with distance to parking space as the former is believed to affect driving habits among motorist, whom may require the inference to as well cover other important locations such as nearest or cheapest gas station, hotels, hospitals etc.

基于APSO的GIS腔体移动机器人区间二型模糊跟踪控制

为解决气体绝缘封闭开关设备(GIS)腔体移动机器人的轨迹跟踪控制问题,提出一种基于优化算法的麦克纳姆轮全向移动机器人(MWOR)区间二型模糊跟踪系统。建立MWOR在腔体中的非线性模型,并设计相应的区间二型模糊逻辑控制器(IT2FLC);针对IT2FLC隶属度函数难以确定的问题,采用自适应粒子群优化(APSO)算法对隶属度函数进行优化。分别对MWOR在无扰动和有扰动时进行直线和圆轨迹跟踪的仿真实验。结果表明,该方法对MWOR具有很好的控制效果和抗干扰效果。

在公共危机治理中反思行业协会商会作用--会员逻辑、影响逻辑与公共逻辑的多重视角分析

行业协会商会需要承担新的公共角色以更好地应对公共危机治理,突破其在常态治理中服务会员和协助政府的作用。通过构建会员逻辑、影响逻辑与公共逻辑相融合的分析框架,反思了行业协会商会在公共危机治理中的多元作用。基于浙江省行业协会商会在新冠肺炎疫情治理中的多案例访谈与文本分析发现,行业协会商会在疫情治理不同阶段发挥了服务会员、协助政府和支持社会的多元化作用。行业协会商会在公共危机治理中的作用发挥源自常态治理能力,并在应对危机的动态环境中得到提升。行业协会商会应通过治理能力建设,整合和拓展多元作用,提高对动态环境的适应性进而持续发挥作用。

基于模糊逻辑的多属性融合油气预测方法

地震属性与储层参数不存在严格的一一对应关系,这就导致仅用单一属性解释储层不可避免地存在多解性。在利用属性进行储层预测过程中,单一属性或综合属性能否指示含油气情况,往往没有绝对分明的界限,即存在模糊性。为此,本文提出基于模糊逻辑的多属性融合方法,即将模糊理论应用于属性融合,利用隶属函数将模糊问题进行定量化处理,通过模糊贴近度矩阵求取各自的权重,最终得到一个定量的综合结果。属性融合过程中各种属性权重的求取完全基于数据驱动,降低了人为操控的主观性。数值模拟试验和实际资料处理结果均显示,用本文方法所得融合结果与井资料能较好吻合,表明利用本文提出的基于模糊逻辑的多属性融合方法进行油气预测是有效且实用的。

基于可持续性视角的城市土地利用模糊逻辑评价与诊断——以武汉市为例

研究目的:构建基于可持续性视角的城市土地利用评价理论框架,探索城市土地可持续利用评价的影响因子,为城市用地可持续性发展提供依据。研究方法:模糊逻辑和因子分解分析。研究结果:2005—2013年武汉市城市土地可持续性利用水平具有明显的阶段性,并以2008和2011年为转折点呈稳步改善态势,土地利用生态效能和土地利用资产价值成为限制城市土地可持续性利用的主要影响因子。研究结论:(1)从隶属度和障碍度角度看,要保持城市发展可持续性,须向土地可持续利用模式转变,这种转变迅速而明显,表现出显著的转折点;(2)土地可持续利用模式下,障碍度指标带有可持续性特色,其影响力也较传统要素驱动模式有很大提升,表现为土地可持续利用综合效益的更大制约作用。

模糊逻辑法在云南中甸地区铜矿潜力预测中的应用

模糊逻辑建模应用于矿产预测时分为两步:①变量模糊化,应用隶属函数计算变量的模糊隶属度;②模糊综合,应用模糊算子(模糊与、模糊或、模糊代数和、模糊代数积和伽马算子)对模糊化后的变量进行综合,生成最终的模糊有利度图。在介绍了模糊逻辑的基本原理和详细分析云南中甸铜成矿规律的基础上,应用ArcVie wGIS及其扩展模块ArcSDM对研究区地质、地球化学、线性构造等方面的数据进行了处理,提取了预测变量。模型应用于云南中甸普朗地区斑岩铜矿的区域成矿预测(1∶20万)结果显示,预测出的成矿潜力区包含了81%以上的已知矿点,可以用于指导进一步的大比例勘查工作。

一种基于模糊逻辑的图像自适应去噪算法

为克服单一使用中值滤波方法去除脉冲噪声会造成图像细节信息丢失,使图像变模糊的缺陷,提出一种新的基于模糊逻辑的图像自适应去噪算法.新算法通过分析像素不同方向邻域像素灰度值分布情况来检测脉冲噪声点,另外为更好地保持图像边缘等细节特征,使用改进MMEM(maximum-minimum exclusive median)算法对噪声像素点的灰度值进行估计.最后,新算法通过引入模糊逻辑规则,更加合理地进行噪声污染像素点的灰度值复原.仿真结果表明,与其他改进中值滤波算法相比新算法在去除脉冲噪声时能取得更好的效果.

模糊逻辑在混合动力汽车电机故障检测中的应用

为及时、准确地检测出混合动力汽车驱动电机的响应故障并判断电机响应故障的等级,本文将模糊逻辑算法引入电机的响应故障诊断中,在综合考虑电机转速和负荷的前提下,分析了利用模糊逻辑求解电机负荷差值门限值的原理,并说明了如何依据得到的门限值判别出故障的等级。同时,根据输入信号和输出信号的特点建立了各变量的隶属函数数学模型,提出了电机的响应故障模糊诊断综合评判原则。在此基础上,利用MATLAB/SIMULINK搭建了电机故障检测模型,仿真结果表明:负荷差值门限值的变化趋势与预期分析一致,所建模型能够有效地检测出电机的响应故障。

推动共同富裕进程中行业协会商会的新定位

在扎实推动全体人民共同富裕的新阶段,我国行业协会商会应当重新定位自身功能。已有研究认为,不同场景下的行业协会商会功能分别受到会员逻辑、影响逻辑、公共逻辑的型塑,但少有文献探讨上述三种不同逻辑融合如何影响行业协会商会的常态化功能发挥。文章构建了“行业协会商会在会员逻辑、影响逻辑与公共逻辑融合驱动下推动共同富裕”的分析框架。基于案例研究发现,我国行业协会商会通过组织联盟与数字化改革等方式促进会员逻辑、影响逻辑与公共逻辑的融合:坚持以会员逻辑为基础核心,激发各类会员的活力和能力,推动经济高质量发展;以公共逻辑为价值主导,追求社会公共利益,提升基层社会治理能力;以影响逻辑为有力支撑,提升政府治理效能,支持高质量经济发展与高水平社会治理,进而推动共同富裕的实质性进展。行业协会商会推动共同富裕实践有利于形成共同富裕社会格局、优化共同富裕治理体系。