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Advances in Fuzzy Systems - Applications and Theory最新文献

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Nonlinear Integrals and Their Applications in Data Mining 非线性积分及其在数据挖掘中的应用
Advances in Fuzzy Systems - Applications and Theory Pub Date : 2010-06-09 DOI: 10.1142/6861
Zhenyuan Wang, Rong Yang, K. Leung
{"title":"Nonlinear Integrals and Their Applications in Data Mining","authors":"Zhenyuan Wang, Rong Yang, K. Leung","doi":"10.1142/6861","DOIUrl":"https://doi.org/10.1142/6861","url":null,"abstract":"Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These integrals can be applied as aggregation tools in information fusion and data mining, such as synthetic evaluation, nonlinear multiregressions, and nonlinear classifications. Some methods of fuzzification are also introduced for nonlinear integrals such that fuzzy data can be treated and fuzzy information is retrievable. The book is suitable as a text for graduate courses in mathematics, computer science, and information science. It is also useful to researchers in the relevant area.","PeriodicalId":134814,"journal":{"name":"Advances in Fuzzy Systems - Applications and Theory","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128803666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 88
Fuzzy Relational Calculus - Theory, Applications and Software 模糊关系演算-理论，应用和软件
Advances in Fuzzy Systems - Applications and Theory Pub Date : 2004-11-30 DOI: 10.1142/5683
K. Peeva, Y. Kyosev
{"title":"Fuzzy Relational Calculus - Theory, Applications and Software","authors":"K. Peeva, Y. Kyosev","doi":"10.1142/5683","DOIUrl":"https://doi.org/10.1142/5683","url":null,"abstract":"Fuzzy Relations. Direct Problem Resolution Fuzzy Relation Equations Fuzzy Relational Inclusions Fuzzy Linear Systems -- Dual Approach Direct and Inverse Problems in Intuitionistic Fuzzy Relational Calculus L-Fuzzy Finite Machines Fuzzy Languages in Syntactic Pattern Recognition Applications as Inference Engine Software Description","PeriodicalId":134814,"journal":{"name":"Advances in Fuzzy Systems - Applications and Theory","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124148920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 144
Genetic Fuzzy Systems - Evolutionary Tuning and Learning of Fuzzy Knowledge Bases 遗传模糊系统-模糊知识库的进化调谐和学习
Advances in Fuzzy Systems - Applications and Theory Pub Date : 2002-02-15 DOI: 10.1142/4177
Oscar Cordón, Francisco Herrera, Frank Hoffmann, Luis Magdalena
{"title":"Genetic Fuzzy Systems - Evolutionary Tuning and Learning of Fuzzy Knowledge Bases","authors":"Oscar Cordón, Francisco Herrera, Frank Hoffmann, Luis Magdalena","doi":"10.1142/4177","DOIUrl":"https://doi.org/10.1142/4177","url":null,"abstract":"Fuzzy Rule-Based Systems Evolutionary Computation Introduction to Genetic Fuzzy Systems Genetic Tuning Processes Learning with Genetic Algorithms Genetic Fuzzy Rule-Based Systems Based on the Michigan Approach Genetic Fuzzy Rule-Based Systems Based on the Pittsburgh Approach Genetic Fuzzy Rule-Based Systems Based on the lterative Rule Learning Approach Other Genetic Fuzzy Rule-Based System Other Kinds of Evolutionary Fuzzy Systems Applications.","PeriodicalId":134814,"journal":{"name":"Advances in Fuzzy Systems - Applications and Theory","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115982729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 439
Fuzzy Logic for Business, Finance, and Management 商业、金融和管理的模糊逻辑
Advances in Fuzzy Systems - Applications and Theory Pub Date : 1997-12-01 DOI: 10.1142/3312
G. Bojadziev, M. Bojadziev, L. Zadeh
{"title":"Fuzzy Logic for Business, Finance, and Management","authors":"G. Bojadziev, M. Bojadziev, L. Zadeh","doi":"10.1142/3312","DOIUrl":"https://doi.org/10.1142/3312","url":null,"abstract":"This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and subjectivity. Traditional modeling techniques, contrary to fuzzy logic, do not capture the nature of complex systems especially when humans are involved. Fuzzy logic uses human experience and judgement to facilitate plausible reasoning in order to reach a conclusion. Emphasis is on applications presented in the 27 case studies including Time Forecasting for Project Management, New Product Pricing, and Control of a Parasit-Pest System.","PeriodicalId":134814,"journal":{"name":"Advances in Fuzzy Systems - Applications and Theory","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124958222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 378
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition 模糊算法:在图像处理和模式识别中的应用
Advances in Fuzzy Systems - Applications and Theory Pub Date : 1996-10-01 DOI: 10.1142/3132
Z. Chi, Hong Yan, T. Pham
{"title":"Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition","authors":"Z. Chi, Hong Yan, T. Pham","doi":"10.1142/3132","DOIUrl":"https://doi.org/10.1142/3132","url":null,"abstract":"Introduction: Fuzzy sets probability and fuzziness fuzzy models. Membership functions: heuristic selections clustering approaches adjustment and toning applications concluding remarks. Fuzzy clustering: clustering and fuzzy partition fuzzy c-means algorithm fuzzy cohonen clustering networks cluster validity and optimal fuzzy clustering applications concluding remarks. Fuzzy rules and defuzzification: rules based on experience learning from examples decision tree approach neural network approach minimization of fuzzy rules defuzzification and optimization applications concluding remarks. Fuzzy classifiers: fuzzy nearest neighbour classifier fuzzy multilayer perceptron fuzy decision trees fuzzy string matching applications concluding remarks. Combined clasifications: introduction voting schemes maximum poteriori probability Dempster-Shafer evidence theory trained perceptron neural networks applications concluding remarks.","PeriodicalId":134814,"journal":{"name":"Advances in Fuzzy Systems - Applications and Theory","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134338922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 585
Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems - Selected Papers by Lotfi A Zadeh 模糊集、模糊逻辑和模糊系统——Lotfi A Zadeh论文选集
Advances in Fuzzy Systems - Applications and Theory Pub Date : 1996-05-01 DOI: 10.1142/2895
L. Zadeh, G. Klir, B. Yuan
{"title":"Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems - Selected Papers by Lotfi A Zadeh","authors":"L. Zadeh, G. Klir, B. Yuan","doi":"10.1142/2895","DOIUrl":"https://doi.org/10.1142/2895","url":null,"abstract":"From the Publisher: \u0000This book consists of papers written by the founder of fuzzy set theory, Lotfi A. Zadeh. Since Zadeh is not only the founder of this field but has also been the principal contributor to its development over the last 30 years, the papers contain virtually all the major ideas in fuzzy set theory, fuzzy logic, and fuzzy systems in their historical context.","PeriodicalId":134814,"journal":{"name":"Advances in Fuzzy Systems - Applications and Theory","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126653454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1023
Fuzzy Logic for Business, Finance, and Management - 2nd Edition 模糊逻辑的业务，金融和管理-第二版
Advances in Fuzzy Systems - Applications and Theory Pub Date : 1900-01-01 DOI: 10.1142/6451
G. Bojadziev, M. Bojadziev
{"title":"Fuzzy Logic for Business, Finance, and Management - 2nd Edition","authors":"G. Bojadziev, M. Bojadziev","doi":"10.1142/6451","DOIUrl":"https://doi.org/10.1142/6451","url":null,"abstract":"","PeriodicalId":134814,"journal":{"name":"Advances in Fuzzy Systems - Applications and Theory","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129274223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 52
Automatic Generation of Neural Network Architecture Using Evolutionary Computation 基于进化计算的神经网络结构自动生成
Advances in Fuzzy Systems - Applications and Theory Pub Date : 1900-01-01 DOI: 10.1142/3449
E. Vonk, L. Jain, R. P. Johnson
{"title":"Automatic Generation of Neural Network Architecture Using Evolutionary Computation","authors":"E. Vonk, L. Jain, R. P. Johnson","doi":"10.1142/3449","DOIUrl":"https://doi.org/10.1142/3449","url":null,"abstract":"Changing the Ways We WorkFuzzy Logic in Action: Applications in Epidemiology and BeyondRobust Power System Frequency ControlComputer Aided Systems Theory CAST '94Fuzzy ControlIntelligent Information and Database SystemsMasters Theses in the Pure and Applied SciencesCurrent Topics in Artificial IntelligenceRobotics and Rehabilitation IntelligenceSoft Computing Approaches in ChemistryDatabase Systems for Advanced ApplicationsComputational LinguisticsSmart GridAdvances in Intelligent Data Analysis XVIIIMeta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and FinanceComplex-valued Neural NetworksSystems Thinking Approach for Social ProblemsAdvances in Neural Networks ISNN 2005An Interactive Neural Network Simulator with Automatic Generation of Training PatternsAutomatic Generation of Neural Network Architecture Using Evolutionary ComputationImproving Automatic Generation of Source Code Comments Using Convolutional Neural Networks and ID-splitting MethodAdvances in Intelligent Systems and Computing IIIAdvances in Artificial Intelligence and Data EngineeringIntelligent Automatic Generation ControlSoft ComputingApplications of Neural Networks in High Assurance SystemsIntelligent Computing and VLSINew Trends in Neural ComputationDataIntensive Computing in Smart MicrogridsAdvances in Neural Networks ISNN 2005High Performance Networking, Computing, and Communication SystemsArtificial Intelligence and Soft Computing2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical SystemsNatural Language Processing and Chinese ComputingAdvances in Genetic ProgrammingRobotics, Automation and ControlAvailability, Reliability, and Security in Information SystemsElectric Power SystemsComputer Applications in BiotechnologyOpen Semantic Technologies for Intelligent System","PeriodicalId":134814,"journal":{"name":"Advances in Fuzzy Systems - Applications and Theory","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115959668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 41
Fuzzy Topology 模糊拓扑
Advances in Fuzzy Systems - Applications and Theory Pub Date : 1900-01-01 DOI: 10.1142/3281
Ying-ming Liu, M. Luo
{"title":"Fuzzy Topology","authors":"Ying-ming Liu, M. Luo","doi":"10.1142/3281","DOIUrl":"https://doi.org/10.1142/3281","url":null,"abstract":"Find the secret to improve the quality of life by reading this fuzzy topology. This is a kind of book that you need now. Besides, it can be your favorite book to read after having this book. Do you ask why? Well, this is a book that has different characteristic with others. You may not need to know who the author is, how well-known the work is. As wise word, never judge the words from who speaks, but make the words as your good value to your life.","PeriodicalId":134814,"journal":{"name":"Advances in Fuzzy Systems - Applications and Theory","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130838550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 449
Fuzzy Sets, Fuzzy Logic, Applications 模糊集，模糊逻辑，应用
Advances in Fuzzy Systems - Applications and Theory Pub Date : 1900-01-01 DOI: 10.1142/2867
G. Bojadziev, M. Bojadziev
{"title":"Fuzzy Sets, Fuzzy Logic, Applications","authors":"G. Bojadziev, M. Bojadziev","doi":"10.1142/2867","DOIUrl":"https://doi.org/10.1142/2867","url":null,"abstract":"Fuzzy sets and fuzzy logic are powerful mathematical tools for modeling and controlling uncertain systems in industry, humanity, and nature; they are facilitators for approximate reasoning in decision making in the absence of complete and precise information. Their role is significant when applied to complex phenomena not easily described by traditional mathematics.The unique feature of the book is twofold: 1) It is the first introductory course (with examples and exercises) which brings in a systematic way fuzzy sets and fuzzy logic into the educational university and college system. 2) It is designed to serve as a basic text for introducing engineers and scientists from various fields to the theory of fuzzy sets and fuzzy logic, thus enabling them to initiate projects and make applications.","PeriodicalId":134814,"journal":{"name":"Advances in Fuzzy Systems - Applications and Theory","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130738624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 289
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