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检索条件"主题词=membership function"

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Research of Ultrasonic Detection for Bonding Quality of Thin Plate Based on Fuzzy Pattern Recognition

Research of Ultrasonic Detection for Bonding Quality of Thin...

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The 2011 International Conference on Smart Materials and Nanotechnology in Engineering (ICSMCE2011)

作者： Wang Xiao-juan Zhang Ze Wang Hai-tao College of Electronic Information Engineering Inner Mongolia University

The application of fuzzy pattern recognition to ultrasonic detection for bonding quality of thin composite plate is studiedIn this paper, firstly, the fuzzy membership function between each characteristic and bonding quality is established by BP neural networkSimulation results show that this method is convenient, simple, and it conforms to the practical applicationAccordingly,the fuzzy subsets of standard modules and unknown bonding quality modules are establishedSecondly, the fuzzy pattern recognition algorithm, which is designed by the nearest principle as the judging standard to judge bonding quality, is givenExperimental results show that the algorithm is very exact for quantitative recognition of bonding quality.

关键词： Ultrasonic detection membership function Fuzzy pattern recognition Approach degree Nearest principle

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A Novel Fuzzy Positive and Negative Association Rules Algorithm

A Novel Fuzzy Positive and Negative Association Rules Algori...

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The Ninth International Symposium on Distributed Computing and Applications to Business,Engineering and Science

作者： HU Kai China ship Development&Design Center Wuhan China

According to the existing mining algorithm of fuzzy association rules,a novel fuzzy positive and negative association rules algorithm will be proposed in this *** focus on the membership function of fuzzy set and minimum support parameters of positive and negative association rules and adopt a method that selects parameters automatically which is based on the k-means ***,multi-level fuzzy support and correlation coefficient are chosen to restrain the quantity and quality of rules generated by the algorithm. Finally the validity and accuracy of the algorithm are proved by an experiment.

关键词： data mining fuzzy association rules membership function multi-level fuzzy support correlation coefficient

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Research on Entropy of S-function of Fuzzy Variable

Research on Entropy of S-function of Fuzzy Variable

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第三届中国智能计算大会

作者： Jianqiang Xu,Jin Peng College of Mathematics and Science,Shanghai Normal University,Shanghai 200234 College of Mathematics and Information Science,Huanggang Normal University,Hubei 438000

＜正＞Given a fuzzy variable,what is the degree of difficulty of predicting the specified value that fuzzy variable will take? Entropy provides a measure to characterize the *** we know,image segmentation using fuzzy entropy is an important and common segmentation *** threshold of fuzzy entropy is mostly selected at the gray value with fuzzy membership degree *** with the tradition fuzzy entropy-based image segmentation,this paper provides a personal overview of entropy of S-function,and get a correspondingly symmetrical *** result will be a good supplement to the fuzzy entropy-based image segmentation method.

关键词： entropy S-function credibility theory membership function

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A Research on Fuzzy Logic Control of the Excitation System in a Synchronous Generator

A Research on Fuzzy Logic Control of the Excitation System i...

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1998年中国智能自动化学术会议

作者：郭培源 Department of Electrical Engineering and Automation Gungdong Univ. of Tech

A way of the fuzzy logic control for the excitation system of synchronous generator is presented in this paper based on every instantaneous speed and acceleration error of synchronous generator as well as the standard fuzzy membership function on the phase plane. The gain of the controller can be automatically adjusted. Computer simulation in the simple power system shows that the controller has strong robustness for a variety of disturbances in power system.

关键词： Fuzzy logic control membership function self-tuning adjusting.

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An Algorithm for A Class of Fuzzy Linear Semidefinite Programming

An Algorithm for A Class of Fuzzy Linear Semidefinite Progra...

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第八届中国青年运筹信息管理学者大会

作者：房亮冯增哲 Department of Mathematics and systems science Taishan College Tai’an 271021 Tai Shan Medical College Tai’an 271016

＜正＞Semidefinite Programming has been one of the most exciting and active areas in optimization in the recent decades. This tremendous activity was spurred by the discovery of interior-point mathods and important applications in control, combinatorial optimization, statistics etc..Nevertheless,it is hard to accurately describe subjective function and constraints of many practical ***,it is necessary to introduce fuzziness into semidefinite *** obtain the optimal solution by solving fuzzy semidefinite programming and give a numerical test at the end of the artical.

关键词： fuzzy semidefinite programming fuzzy set dual gap membership function

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On a Fault Detection System based on Neuro-Fuzzy Fusion Method

On a Fault Detection System based on Neuro-Fuzzy Fusion Meth...

引用

2010 Chinese Control and Decision Conference

作者： Ye XU and Zhuo Wang College of Information Science and Engineering,Shenyang Ligong University,Shenyang 110168,China

＜正＞A fault detection system of a power plant by means of neuro-fuzzy fusion method is discussed in this *** temperature together with temperature variations of refrigerant at the entrance and exit of hydrogenerator group are firstly monitored by temperature *** fuzzy system of the aforementioned variables and their membership functions,next,are designed according to expertise knowledge ***,a neuron-fuzzy fusion model is generated by merge the fuzzy system into a neural networks fusion model,and it is proved to be efficient with a correctness ratio of 91%by testing experiments on around one third of overall samples.

关键词： neuro-fuzzy fusion fuzzy logic membership function fault detection.

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NEW ANALYTICAL STRUCTURES OF SIMPLEST FUZZY CONTROLLER USING MAMDANI AND PROPOSED REASONING

NEW ANALYTICAL STRUCTURES OF SIMPLEST FUZZY CONTROLLER USING...

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第11届国际模糊系统协会世界大会

作者： Rakesh K.Arya R.Mitra Vijay Kumar Department of Electronics and Computer Engineering Indian Institute of Technology Roorkee 247667 India Department of Electronics and Computer Engineering Indian Institute of Technology Roorkee 247667 India Department of Electronics and Computer Engineering Indian Institute of Technology Roorkee 247667 India

＜正＞ This paper deals with new analytical structures and analysis of simplest fuzzy controller using various parameters, Mamdani and a new proposed fuzzy implication. A new fuzzy implication is proposed with mathematical supports. The differences between existing structures and proposed structures are discussed. The new fuzzy implication is tested for appropriateness for control purpose and found positive results.

关键词： Fuzzy controllers T-norm T-conorm membership function Fuzzy Implications.

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Genetic Algorithm for the Single Machine Earliness and Tardiness Scheduling Problem with Fuzzy Processing Times

Genetic Algorithm for the Single Machine Earliness and Tardi...

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第二十九届中国控制会议

作者： WANG Chengyao,ZHAO Ying,WEI Shaoqian Colloge Teacher of Beijing Union University,Beijing 100011,P.R.China

This paper studies the earliness and tardiness scheduling problem on the single machine with fuzzy processing times.A new membership function of the fuzzy processing times is *** some assumptions,the E/T scheduling model with fuzzy processing time is formulated,and a criterion to rank the different fuzzy schemes is also *** the problem is a NP-hard problem,Genetic algorithms are used to search the near optimal *** different crossover operators are used to construct five genetic *** last crossover operator is a new crossover-Hybrid Crossover（HX）which simultaneously use the other four crossover operators at a *** the computation results,the genetic algorithm with the new crossover operator is best of all genetic algorithms.

关键词： Earliness and Tardiness Scheduling Problem Fuzzy Processing Time membership function Genetic Algorithms

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A New Fuzzy Inference System with the Aid of SAHN Based Algorithm

A New Fuzzy Inference System with the Aid of SAHN Based Algo...

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第25届中国控制会议

作者： Jang Kyungwon Taechon Ahn Wonkwang University Ik-San 570749 Korea Wonkwang University Ik-San 570749 Korea

＜正＞In this paper, we have presented a Sequential Agglomerative Hierarchical Nested（SAHN） algorithm based data clustering method in fuzzy inference system to achieve optimal performance of fuzzy model. SAHN based algorithm is used to give possible range of number of clusters with cluster centers for the system identification. The axes of membership functions of this fuzzy model are optimized by using cluster centers obtained from clustering method and the consequence parameters of the fuzzy model are identified by standard least square method. Finally, in this paper, we have observed our model’s output performance using the Box of Jenkins’s gas furnace data and Sugeno’s non-linear process data.

关键词： SAHN (Sequential Agglomerative Hierarchical Nested) based algorithm Fuzzy inference system membership function System identification Standard least square method

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Robust Fuzzy Optimization

Robust Fuzzy Optimization

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中国企业运筹学学术交流大会

作者： SUN Chu - ren (International Business School, Shanghai Institute of Foreign Trade,Shanghai 201600,China)

In this article we incorporate fuzziness into the current hot research topic robust optimization and thus obtain the so - called robust fuzzy optimization model. For the posed robust fuzzy optimization model, we first show that it’s just equivalent to some semi - infinite optimization(or robust optimization) problem and then we pose two algorithms to solve it. The convergence of the algorithms are proved. Some remarks are given for further research.

关键词： Robust fuzzy optimization membership function Detenninistic equivalence Cutting plane method

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