Kooperativer Bibliotheksverbund

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Format: XII, 506 p. , online resource.

ISBN: 9783540399063

Series Statement: Lecture Notes in Computer Science, 2873

Content: Modelling with Words is an emerging modelling methodology closely related to the paradigm of Computing with Words introduced by Lotfi Zadeh. This book is an authoritative collection of key contributions to the new concept of Modelling with Words. A wide range of issues in systems modelling and analysis is presented, extending from conceptual graphs and fuzzy quantifiers to humanist computing and self-organizing maps. Among the core issues investigated are - balancing predictive accuracy and high level transparency in learning - scaling linguistic algorithms to high-dimensional data problems - integrating linguistic expert knowledge with knowledge derived from data - identifying sound and useful inference rules - integrating fuzzy and probabilistic uncertainty in data modelling.

Note: Random Set-Based Approaches for Modelling Fuzzy Operators -- A General Framework for Induction of Decision Trees under Uncertainty -- Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models -- Semantics-Preserving Dimensionality Reduction in Intelligent Modelling -- Conceptual Graphs for Modelling and Computing with Generally Quantified Statements -- Improvement of the Interpretability of Fuzzy Rule Based Systems: Quantifiers, Similarities and Aggregators -- Humanist Computing: Modelling with Words, Concepts, and Behaviours -- A Hybrid Framework Using SOM and Fuzzy Theory for Textual Classification in Data Mining -- Combining Collaborative and Content-Based Filtering Using Conceptual Graphs -- Random Sets and Appropriateness Degrees for Modelling with Labels -- Interpretability Issues in Fuzzy Genetics-Based Machine Learning for Linguistic Modelling.

In: Springer eBooks

Additional Edition: Printed edition: ISBN 9783540204879

Language: English

DOI: 10.1007/b94063

URL: http://dx.doi.org/10.1007/b94063

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Format: Online-Ressource (XIII, 229 p. Also available online) , digital

Edition: Springer eBook Collection. Computer Science

ISBN: 9783540399063 , 3540204873 , 9783540204879

Series Statement: Lecture Notes in Computer Science 2873

Content: Modelling with Words is an emerging modelling methodology closely related to the paradigm of Computing with Words introduced by Lotfi Zadeh. This book is an authoritative collection of key contributions to the new concept of Modelling with Words. A wide range of issues in systems modelling and analysis is presented, extending from conceptual graphs and fuzzy quantifiers to humanist computing and self-organizing maps. Among the core issues investigated are - balancing predictive accuracy and high level transparency in learning - scaling linguistic algorithms to high-dimensional data problems - integrating linguistic expert knowledge with knowledge derived from data - identifying sound and useful inference rules - integrating fuzzy and probabilistic uncertainty in data modelling

Note: Literaturangaben

Additional Edition: ISBN 9783540204879

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783662197721

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783540204879

Language: English

Subjects: Computer Science

DOI: 10.1007/b94063

URL: lizenzpflichtig

URL: Volltext  (lizenzpflichtig)

UID:

Format: XII, 506 p. , online resource.

Edition: 1st ed. 2003.

ISBN: 9783540399063

Series Statement: Lecture Notes in Artificial Intelligence ; 2873

Content: Modelling with Words is an emerging modelling methodology closely related to the paradigm of Computing with Words introduced by Lotfi Zadeh. This book is an authoritative collection of key contributions to the new concept of Modelling with Words. A wide range of issues in systems modelling and analysis is presented, extending from conceptual graphs and fuzzy quantifiers to humanist computing and self-organizing maps. Among the core issues investigated are - balancing predictive accuracy and high level transparency in learning - scaling linguistic algorithms to high-dimensional data problems - integrating linguistic expert knowledge with knowledge derived from data - identifying sound and useful inference rules - integrating fuzzy and probabilistic uncertainty in data modelling.

Note: Random Set-Based Approaches for Modelling Fuzzy Operators -- A General Framework for Induction of Decision Trees under Uncertainty -- Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models -- Semantics-Preserving Dimensionality Reduction in Intelligent Modelling -- Conceptual Graphs for Modelling and Computing with Generally Quantified Statements -- Improvement of the Interpretability of Fuzzy Rule Based Systems: Quantifiers, Similarities and Aggregators -- Humanist Computing: Modelling with Words, Concepts, and Behaviours -- A Hybrid Framework Using SOM and Fuzzy Theory for Textual Classification in Data Mining -- Combining Collaborative and Content-Based Filtering Using Conceptual Graphs -- Random Sets and Appropriateness Degrees for Modelling with Labels -- Interpretability Issues in Fuzzy Genetics-Based Machine Learning for Linguistic Modelling.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783662197721

Additional Edition: Printed edition: ISBN 9783540204879

Language: English

DOI: 10.1007/b94063

URL: https://doi.org/10.1007/b94063

UID:

Format: XI, 228 S , graph. Darst

ISBN: 3540204873

Series Statement: Lecture notes in computer science 2873

Note: Literaturangaben

Additional Edition: Erscheint auch als Online-Ausgabe Lawry, Jonathan Modelling with Words Berlin, Heidelberg : Springer Berlin Heidelberg, 2003 ISBN 9783540204879

Language: English

Subjects: Computer Science

Keywords: Begriffsgraph ; Natürlichsprachiges System ; Unsicherheit ; Fuzzifizierung ; Fuzzy-Regelsystem ; Computerlinguistik ; Maschinelles Lernen ; Fuzzy-Logik ; Zufällige Menge ; Multidimensionales Datenbanksystem ; Datenmodell ; Begriffsgraph ; Natürlichsprachiges System ; Unsicherheit ; Fuzzifizierung ; Fuzzy-Regelsystem ; Computerlinguistik ; Maschinelles Lernen ; Fuzzy-Logik ; Zufällige Menge ; Multidimensionales Datenbanksystem ; Datenmodell ; Aufsatzsammlung ; Konferenzschrift

URL: Cover

URL: http://www.loc.gov/catdir/enhancements/fy0813/2003067406-d.html

UID:

Format: XI, 228 Seiten

ISBN: 3540204873

Series Statement: Lecture notes in computer science

Note: Text engl.

Language: English