Granular Computing: An Introduction
This book is about Granular Computing (GC) - an emerging conceptual and of information processing. As the name suggests, GC concerns computing paradigm processing of complex information entities - information granules. In essence, information granules arise in the process of abstraction of data and...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Springer US
2003
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Schriftenreihe: | The Springer International Series in Engineering and Computer Science
717 |
Schlagworte: | |
Online-Zugang: | FHI01 BTU01 Volltext |
Zusammenfassung: | This book is about Granular Computing (GC) - an emerging conceptual and of information processing. As the name suggests, GC concerns computing paradigm processing of complex information entities - information granules. In essence, information granules arise in the process of abstraction of data and derivation of knowledge from information. Information granules are everywhere. We commonly use granules of time (seconds, months, years). We granulate images; millions of pixels manipulated individually by computers appear to us as granules representing physical objects. In natural language, we operate on the basis of word-granules that become crucial entities used to realize interaction and communication between humans. Intuitively, we sense that information granules are at the heart of all our perceptual activities. In the past, several formal frameworks and tools, geared for processing specific information granules, have been proposed. Interval analysis, rough sets, fuzzy sets have all played important role in knowledge representation and processing. Subsequently, information granulation and information granules arose in numerous application domains. Well-known ideas of rule-based systems dwell inherently on information granules. Qualitative modeling, being one of the leading threads of AI, operates on a level of information granules. Multi-tier architectures and hierarchical systems (such as those encountered in control engineering), planning and scheduling systems all exploit information granularity. We also utilize information granules when it comes to functionality granulation, reusability of information and efficient ways of developing underlying information infrastructures |
Beschreibung: | 1 Online-Ressource (XIX, 452 p) |
ISBN: | 9781461510338 |
DOI: | 10.1007/978-1-4615-1033-8 |
Internformat
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490 | 0 | |a The Springer International Series in Engineering and Computer Science |v 717 | |
520 | |a This book is about Granular Computing (GC) - an emerging conceptual and of information processing. As the name suggests, GC concerns computing paradigm processing of complex information entities - information granules. In essence, information granules arise in the process of abstraction of data and derivation of knowledge from information. Information granules are everywhere. We commonly use granules of time (seconds, months, years). We granulate images; millions of pixels manipulated individually by computers appear to us as granules representing physical objects. In natural language, we operate on the basis of word-granules that become crucial entities used to realize interaction and communication between humans. Intuitively, we sense that information granules are at the heart of all our perceptual activities. In the past, several formal frameworks and tools, geared for processing specific information granules, have been proposed. Interval analysis, rough sets, fuzzy sets have all played important role in knowledge representation and processing. Subsequently, information granulation and information granules arose in numerous application domains. Well-known ideas of rule-based systems dwell inherently on information granules. Qualitative modeling, being one of the leading threads of AI, operates on a level of information granules. Multi-tier architectures and hierarchical systems (such as those encountered in control engineering), planning and scheduling systems all exploit information granularity. We also utilize information granules when it comes to functionality granulation, reusability of information and efficient ways of developing underlying information infrastructures | ||
650 | 4 | |a Computer Science | |
650 | 4 | |a Artificial Intelligence (incl. Robotics) | |
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Datensatz im Suchindex
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author | Bargiela, Andrzej Pedrycz, Witold |
author_facet | Bargiela, Andrzej Pedrycz, Witold |
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author_sort | Bargiela, Andrzej |
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dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.1007/978-1-4615-1033-8 |
format | Electronic eBook |
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indexdate | 2024-07-10T08:10:02Z |
institution | BVB |
isbn | 9781461510338 |
language | English |
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spelling | Bargiela, Andrzej Verfasser aut Granular Computing An Introduction by Andrzej Bargiela, Witold Pedrycz Boston, MA Springer US 2003 1 Online-Ressource (XIX, 452 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 717 This book is about Granular Computing (GC) - an emerging conceptual and of information processing. As the name suggests, GC concerns computing paradigm processing of complex information entities - information granules. In essence, information granules arise in the process of abstraction of data and derivation of knowledge from information. Information granules are everywhere. We commonly use granules of time (seconds, months, years). We granulate images; millions of pixels manipulated individually by computers appear to us as granules representing physical objects. In natural language, we operate on the basis of word-granules that become crucial entities used to realize interaction and communication between humans. Intuitively, we sense that information granules are at the heart of all our perceptual activities. In the past, several formal frameworks and tools, geared for processing specific information granules, have been proposed. Interval analysis, rough sets, fuzzy sets have all played important role in knowledge representation and processing. Subsequently, information granulation and information granules arose in numerous application domains. Well-known ideas of rule-based systems dwell inherently on information granules. Qualitative modeling, being one of the leading threads of AI, operates on a level of information granules. Multi-tier architectures and hierarchical systems (such as those encountered in control engineering), planning and scheduling systems all exploit information granularity. We also utilize information granules when it comes to functionality granulation, reusability of information and efficient ways of developing underlying information infrastructures Computer Science Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Data Structures, Cryptology and Information Theory Information Systems Applications (incl. Internet) Mathematical Modeling and Industrial Mathematics Computer science Data structures (Computer science) Artificial intelligence Mathematical models Mathematical logic Pedrycz, Witold aut Erscheint auch als Druck-Ausgabe 9781461353614 https://doi.org/10.1007/978-1-4615-1033-8 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Bargiela, Andrzej Pedrycz, Witold Granular Computing An Introduction Computer Science Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Data Structures, Cryptology and Information Theory Information Systems Applications (incl. Internet) Mathematical Modeling and Industrial Mathematics Computer science Data structures (Computer science) Artificial intelligence Mathematical models Mathematical logic |
title | Granular Computing An Introduction |
title_auth | Granular Computing An Introduction |
title_exact_search | Granular Computing An Introduction |
title_full | Granular Computing An Introduction by Andrzej Bargiela, Witold Pedrycz |
title_fullStr | Granular Computing An Introduction by Andrzej Bargiela, Witold Pedrycz |
title_full_unstemmed | Granular Computing An Introduction by Andrzej Bargiela, Witold Pedrycz |
title_short | Granular Computing |
title_sort | granular computing an introduction |
title_sub | An Introduction |
topic | Computer Science Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Data Structures, Cryptology and Information Theory Information Systems Applications (incl. Internet) Mathematical Modeling and Industrial Mathematics Computer science Data structures (Computer science) Artificial intelligence Mathematical models Mathematical logic |
topic_facet | Computer Science Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Data Structures, Cryptology and Information Theory Information Systems Applications (incl. Internet) Mathematical Modeling and Industrial Mathematics Computer science Data structures (Computer science) Artificial intelligence Mathematical models Mathematical logic |
url | https://doi.org/10.1007/978-1-4615-1033-8 |
work_keys_str_mv | AT bargielaandrzej granularcomputinganintroduction AT pedryczwitold granularcomputinganintroduction |