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[null,"1.","Record Nr.",null,"UNINA9910705680603321"]
[null,null,"Autore",null,"Jules Kenol"]
[null,null,"Titolo",null,"Artificial neural networks applications : from aircraft design optimization to orbiting spacecraft on-board environment monitoring / / Kenol Jules, Paul P. Lin"]
[null,null,"Pubbl/distr/stampa",null,"Cleveland, Ohio : , : National Aeronautics and Space Administration, Glenn Research Center, , August 2002"]
[null,null,"Descrizione fisica",null,"1 online resource (9 pages) : illustrations"]
[null,null,"Collana",null,"NASA/TM ; ; 2002-211811"]
[null,null,"Soggetti",null,"Design optimization"]
[{"$nulls":4},"Neural nets"]
[{"$nulls":4},"Aircraft design"]
[{"$nulls":4},"Aircraft engines"]
[{"$nulls":4},"Aircraft intelligence"]
[{"$nulls":4},"Propulsion system configurations"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"August 2002.\""]
[{"$nulls":4},"\"Prepared for the 2001 Advanced Study Institute on Neural Networks for Instrumentation, Measurement, and Related Industrial Applications sponsored by the North Atlantic Treaty Organization (NATO), Crema, Italy, October 9-20, 2001.\""]
[{"$nulls":4},"\"Performing organization: National Aeronautics and Space Administration, John H. Glenn Research Center at Lewis Field\"--Report documentation page."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (pages 4-5)."]
[null,"2.","Record Nr.",null,"UNINA9911019469103321"]
[null,null,"Titolo",null,"Handbook of granular computing / / edited by Witold Pedrycz, Andrzej Skowron, Vladik Kreinovich"]
[null,null,"Pubbl/distr/stampa",null,"Chichester, West Sussex ; ; Hoboken, NJ, : John Wiley & Sons, c2008"]
[null,null,"ISBN",null,"9786612686177"]
[{"$nulls":4},"9781282686175"]
[{"$nulls":4},"1282686178"]
[{"$nulls":4},"9780470724163"]
[{"$nulls":4},"0470724161"]
[{"$nulls":4},"9780470724156"]
[{"$nulls":4},"0470724153"]
[null,null,"Descrizione fisica",null,"1 online resource (1150 p.)"]
[null,null,"Classificazione",null,"54.51"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Granular computing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Handbook of granular computing; Contents; Preface; Foreword; Biographies; Part One Fundamentals and Methodology of Granular Computing Based on Interval Analysis, Fuzzy Sets and Rough Sets; 1 Interval Computation as an Important Part of Granular Computing: An Introduction; 2 Stochastic Arithmetic as a Model of Granular Computing; 3 Fundamentals of Interval Analysis and Linkages to Fuzzy Set Theory; 4 Interval Methods for Non-Linear Equation Solving Applications; 5 Fuzzy Sets as a User-Centric Processing Framework of Granular Computing; 6 Measurement and Elicitation of Membership Functions"]
[{"$nulls":4},"7 Fuzzy Clustering as a Data-Driven Development Environment for Information Granules8 Encoding and Decoding of Fuzzy Granules; 9 Systems of Information Granules; 10 Logical Connectives for Granular Computing; 11 Calculi of Information Granules. Fuzzy Relational Equations; 12 Fuzzy Numbers and Fuzzy Arithmetic; 13 Rough-Granular Computing; 14 Wisdom Granular Computing; 15 Granular Computing for Reasoning about Ordered Data: The Dominance-Based Rough Set Approach; 16 A Unified Approach to Granulation of Knowledge and Granular Computing Based on Rough Mereology: A Survey"]
[{"$nulls":4},"17 A Unified Framework of Granular Computing18 Quotient Spaces and Granular Computing; 19 Rough Sets and Granular Computing: Toward Rough-Granular Computing; 20 Construction of Rough Information Granules; 21 Spatiotemporal Reasoning in Rough Sets and Granular Computing; Part Two Hybrid Methods and Models of Granular Computing; 22 A Survey of Interval-Valued Fuzzy Sets; 23 Measurement Theory and Uncertainty in Measurements: Application of Interval Analysis and Fuzzy Sets Methods; 24 Fuzzy Rough Sets: From Theory into Practice; 25 On Type 2 Fuzzy Sets as Granular Models for Words"]
[{"$nulls":4},"26 Design of Intelligent Systems with Interval Type-2 Fuzzy Logic27 Theoretical Aspects of Shadowed Sets; 28 Fuzzy Representations of Spatial Relations for Spatial Reasoning; 29 Rough-Neural Methodologies in Granular Computing; 30 Approximation and Perception in Ethology-Based Reinforcement Learning; 31 Fuzzy Linear Programming; 32 A Fuzzy Regression Approach to Acquisition of Linguistic Rules; 33 Fuzzy Associative Memories and Their Relationship to Mathematical Morphology; 34 Fuzzy Cognitive Maps; Part Three Applications and Case Studies"]
[{"$nulls":4},"35 Rough Sets and Granular Computing in Behavioral Pattern Identification and Planning36 Rough Sets and Granular Computing in Hierarchical Learning; 37 Outlier and Exception Analysis in Rough Sets and Granular Computing; 38 Information Access and Retrieval; 39 Granular Computing in Medical Informatics; 40 Eigen Fuzzy Sets and Image Information Retrieval; 41 Rough Sets and Granular Computing in Dealing with Missing Attribute Values; 42 Granular Computing in Machine Learning and Data Mining"]
[{"$nulls":4},"43 On Group Decision Making, Consensus Reaching, Voting, and Voting Paradoxes under Fuzzy Preferences and a Fuzzy Majority: A Survey and a Granulation Perspective"]
[null,null,null,"Sommario/riassunto","Although the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others. Recent years have witnessed a renewed and expanding interest in the topic as it begins to play a key role in bioinformatics, e-commerce, machine learning, security, data mining and wireless mobile computing when it comes to the issues of effectiveness, robustness and uncertainty. The Handbook of Granular C"]