Management of Knowledge Imperfection in Building Intelligent Systems:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2009
|
| Schriftenreihe: | Studies in Fuzziness and Soft Computing
227 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FHN01 FHR01 Volltext |
| Beschreibung: | There are many good AI books. Usually they consecrate at most one or two chapters to the imprecision knowledge processing. This book is among the few books to be entirely dedicated to the treatment of knowledge imperfection when building intelligent systems. We consider that an entire book should be focused on this important aspect of knowledge processing. The expected audience for this book includes undergraduate students in computer science, IT&C, mathematics, business, medicine, etc., graduates, specialists and researchers in these fields. The subjects treated in the book include expert systems, knowledge representation, reasoning under knowledge Imperfection (Probability Theory, Possibility Theory, Belief Theory, and Approximate Reasoning). Most of the examples discussed in details throughout the book are from the medical domain. Each chapter ends with a set of carefully pedagogically chosen exercises, which complete solution provided. Their understanding will trigger the comprehension of the theoretical notions, concepts and results. Features of the book: a) Comprehensive comparative approach to deal with most of the techniques of management of knowledge imperfection b) Breakthrough fuzzy techniques approach for handling real word imprecision c) Numerous examples throughout the book in the medical domain d) Each chapter is followed by a set of detailed solved exercises |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9783540774631 |
| DOI: | 10.1007/978-3-540-77463-1 |
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Datensatz im Suchindex
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|---|---|
| any_adam_object | |
| author | Roventa, Eugene |
| author_facet | Roventa, Eugene |
| author_role | aut |
| author_sort | Roventa, Eugene |
| author_variant | e r er |
| building | Verbundindex |
| bvnumber | BV041889643 |
| classification_rvk | QP 345 ST 300 ST 301 |
| collection | ZDB-2-ENG |
| contents | "Classical" Expert Systems -- Knowledge Representation -- Uncertainty and Classical Theory of Probability -- Statistical Inference -- Bayesian (Belief) Networks -- Certainty Factors Theory -- Belief Theory -- Possibility Theory -- Approximate Reasoning -- Review |
| ctrlnum | (OCoLC)612120911 (DE-599)BVBBV041889643 |
| dewey-full | 519 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519 |
| dewey-search | 519 |
| dewey-sort | 3519 |
| dewey-tens | 510 - Mathematics |
| discipline | Informatik Mathematik Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-3-540-77463-1 |
| format | Electronic eBook |
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| id | DE-604.BV041889643 |
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| indexdate | 2024-07-10T01:07:32Z |
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| isbn | 9783540774631 |
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| spelling | Roventa, Eugene Verfasser aut Management of Knowledge Imperfection in Building Intelligent Systems by Eugene Roventa, Tiberiu Spircu Berlin, Heidelberg Springer Berlin Heidelberg 2009 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 227 There are many good AI books. Usually they consecrate at most one or two chapters to the imprecision knowledge processing. This book is among the few books to be entirely dedicated to the treatment of knowledge imperfection when building intelligent systems. We consider that an entire book should be focused on this important aspect of knowledge processing. The expected audience for this book includes undergraduate students in computer science, IT&C, mathematics, business, medicine, etc., graduates, specialists and researchers in these fields. The subjects treated in the book include expert systems, knowledge representation, reasoning under knowledge Imperfection (Probability Theory, Possibility Theory, Belief Theory, and Approximate Reasoning). Most of the examples discussed in details throughout the book are from the medical domain. Each chapter ends with a set of carefully pedagogically chosen exercises, which complete solution provided. Their understanding will trigger the comprehension of the theoretical notions, concepts and results. Features of the book: a) Comprehensive comparative approach to deal with most of the techniques of management of knowledge imperfection b) Breakthrough fuzzy techniques approach for handling real word imprecision c) Numerous examples throughout the book in the medical domain d) Each chapter is followed by a set of detailed solved exercises "Classical" Expert Systems -- Knowledge Representation -- Uncertainty and Classical Theory of Probability -- Statistical Inference -- Bayesian (Belief) Networks -- Certainty Factors Theory -- Belief Theory -- Possibility Theory -- Approximate Reasoning -- Review Engineering Artificial intelligence Computer vision Computer aided design Mathematics Engineering mathematics Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Computer Imaging, Vision, Pattern Recognition and Graphics Computer-Aided Engineering (CAD, CAE) and Design Applications of Mathematics Operations Research/Decision Theory Ingenieurwissenschaften Künstliche Intelligenz Mathematik Wissensrevision (DE-588)4273403-4 gnd rswk-swf Schlussfolgern (DE-588)4251178-1 gnd rswk-swf Unvollkommene Information (DE-588)4140474-9 gnd rswk-swf Expertensystem (DE-588)4113491-6 gnd rswk-swf Fuzzy-Regelsystem (DE-588)4728095-5 gnd rswk-swf Wissensverarbeitung (DE-588)4286963-8 gnd rswk-swf Wissensverarbeitung (DE-588)4286963-8 s Unvollkommene Information (DE-588)4140474-9 s Wissensrevision (DE-588)4273403-4 s Schlussfolgern (DE-588)4251178-1 s Fuzzy-Regelsystem (DE-588)4728095-5 s Expertensystem (DE-588)4113491-6 s 1\p DE-604 Spircu, Tiberiu Sonstige oth Erscheint auch als Druckausgabe 978-3-540-77462-4 Studies in Fuzziness and Soft Computing 227 (DE-604)BV021858135 227 https://doi.org/10.1007/978-3-540-77463-1 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Roventa, Eugene Management of Knowledge Imperfection in Building Intelligent Systems Studies in Fuzziness and Soft Computing "Classical" Expert Systems -- Knowledge Representation -- Uncertainty and Classical Theory of Probability -- Statistical Inference -- Bayesian (Belief) Networks -- Certainty Factors Theory -- Belief Theory -- Possibility Theory -- Approximate Reasoning -- Review Engineering Artificial intelligence Computer vision Computer aided design Mathematics Engineering mathematics Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Computer Imaging, Vision, Pattern Recognition and Graphics Computer-Aided Engineering (CAD, CAE) and Design Applications of Mathematics Operations Research/Decision Theory Ingenieurwissenschaften Künstliche Intelligenz Mathematik Wissensrevision (DE-588)4273403-4 gnd Schlussfolgern (DE-588)4251178-1 gnd Unvollkommene Information (DE-588)4140474-9 gnd Expertensystem (DE-588)4113491-6 gnd Fuzzy-Regelsystem (DE-588)4728095-5 gnd Wissensverarbeitung (DE-588)4286963-8 gnd |
| subject_GND | (DE-588)4273403-4 (DE-588)4251178-1 (DE-588)4140474-9 (DE-588)4113491-6 (DE-588)4728095-5 (DE-588)4286963-8 |
| title | Management of Knowledge Imperfection in Building Intelligent Systems |
| title_auth | Management of Knowledge Imperfection in Building Intelligent Systems |
| title_exact_search | Management of Knowledge Imperfection in Building Intelligent Systems |
| title_full | Management of Knowledge Imperfection in Building Intelligent Systems by Eugene Roventa, Tiberiu Spircu |
| title_fullStr | Management of Knowledge Imperfection in Building Intelligent Systems by Eugene Roventa, Tiberiu Spircu |
| title_full_unstemmed | Management of Knowledge Imperfection in Building Intelligent Systems by Eugene Roventa, Tiberiu Spircu |
| title_short | Management of Knowledge Imperfection in Building Intelligent Systems |
| title_sort | management of knowledge imperfection in building intelligent systems |
| topic | Engineering Artificial intelligence Computer vision Computer aided design Mathematics Engineering mathematics Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Computer Imaging, Vision, Pattern Recognition and Graphics Computer-Aided Engineering (CAD, CAE) and Design Applications of Mathematics Operations Research/Decision Theory Ingenieurwissenschaften Künstliche Intelligenz Mathematik Wissensrevision (DE-588)4273403-4 gnd Schlussfolgern (DE-588)4251178-1 gnd Unvollkommene Information (DE-588)4140474-9 gnd Expertensystem (DE-588)4113491-6 gnd Fuzzy-Regelsystem (DE-588)4728095-5 gnd Wissensverarbeitung (DE-588)4286963-8 gnd |
| topic_facet | Engineering Artificial intelligence Computer vision Computer aided design Mathematics Engineering mathematics Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Computer Imaging, Vision, Pattern Recognition and Graphics Computer-Aided Engineering (CAD, CAE) and Design Applications of Mathematics Operations Research/Decision Theory Ingenieurwissenschaften Künstliche Intelligenz Mathematik Wissensrevision Schlussfolgern Unvollkommene Information Expertensystem Fuzzy-Regelsystem Wissensverarbeitung |
| url | https://doi.org/10.1007/978-3-540-77463-1 |
| volume_link | (DE-604)BV021858135 |
| work_keys_str_mv | AT roventaeugene managementofknowledgeimperfectioninbuildingintelligentsystems AT spircutiberiu managementofknowledgeimperfectioninbuildingintelligentsystems |