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Herausgegeben:Herrera Triguero, Francisco; Cordón, O.; Magdalena, Luis; Casillas, Jorge:

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2010, ISBN: 9783642057038

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Accuracy Improvements in Linguistic Fuzzy Modeling - Casillas, Jorge (Herausgeber); Magdalena, Luis (Herausgeber); Herrera Triguero, Francisco (Herausgeber); Cordón, O. (Herausgeber)
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Casillas, Jorge (Herausgeber); Magdalena, Luis (Herausgeber); Herrera Triguero, Francisco (Herausgeber); Cordón, O. (Herausgeber):
Accuracy Improvements in Linguistic Fuzzy Modeling - edizione con copertina flessibile

2010

ISBN: 3642057039

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Accuracy Improvements in Linguistic Fuzzy Modeling - edizione con copertina flessibile

ISBN: 9783642057038

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Accuracy Improvements in Linguistic Fuzzy Modeling - Jorge Casillas; O. Cordón; Francisco Herrera Triguero; Luis Magdalena
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Jorge Casillas; O. Cordón; Francisco Herrera Triguero; Luis Magdalena:
Accuracy Improvements in Linguistic Fuzzy Modeling - edizione con copertina flessibile

2010, ISBN: 9783642057038

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Accuracy Improvements in Linguistic Fuzzy Modeling
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ISBN:

9783642057038


Fuzzy modeling usually comes with two contradictory requirements: interpretability, which is the capability to express the real system behavior in a comprehensible way, and accuracy, which is the capability to faithfully represent the real system. In this framework, one of the most important areas is linguistic fuzzy modeling, where the legibility of the obtained model is the main objective. This task is usually developed by means of linguistic (Mamdani) fuzzy rule-based systems. An active research area is oriented towards the use of new techniques and structures to extend the classical, rigid linguistic fuzzy modeling with the main aim of increasing its precision degree. Traditionally, this accuracy improvement has been carried out without considering the corresponding interpretability loss. Currently, new trends have been proposed trying to preserve the linguistic fuzzy model description power during the optimization process. Written by leading experts in the field, this volume collects some representative researcher that pursue this approach.

Informazioni dettagliate del libro - Accuracy Improvements in Linguistic Fuzzy Modeling


EAN (ISBN-13): 9783642057038
ISBN (ISBN-10): 3642057039
Copertina rigida
Copertina flessibile
Anno di pubblicazione: 2010
Editore: Springer Berlin
400 Pagine
Peso: 0,602 kg
Lingua: eng/Englisch

Libro nella banca dati dal 2011-10-05T23:38:10+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-04-13T14:53:16+02:00 (Zurich)
ISBN/EAN: 9783642057038

ISBN - Stili di scrittura alternativi:
3-642-05703-9, 978-3-642-05703-8
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : herre, cordon, herrera, francisco, casillas, jorge luis

Dati dell'editore

Autore: Jorge Casillas; O. Cordón; Francisco Herrera Triguero; Luis Magdalena
Titolo: Studies in Fuzziness and Soft Computing; Accuracy Improvements in Linguistic Fuzzy Modeling
Editore: Springer; Springer Berlin
385 Pagine
Anno di pubblicazione: 2010-12-15
Berlin; Heidelberg; DE
Stampato / Fatto in
Lingua: Inglese
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XII, 385 p. 64 illus.

BC; Hardcover, Softcover / Wirtschaft/Allgemeines, Lexika; Wirtschaftsmathematik und -informatik, IT-Management; Verstehen; algorithm; algorithms; classification; complexity; construction; evolutionary algorithm; fuzzy; fuzzy system; learning; model; modeling; optimization; proving; Business Mathematics; Mathematical and Computational Engineering Applications; Natural Language Processing (NLP); Artificial Intelligence; Applied Dynamical Systems; Quantitative Economics; Mathematik für Ingenieure; Natürliche Sprachen und maschinelle Übersetzung; Künstliche Intelligenz; Kybernetik und Systemtheorie; Wirtschaftstheorie und -philosophie; BB

Overview.- Accuracy Improvements to Find the Balance Interpretability-Accuracy in Linguistic Fuzzy Modeling: An Overview.- Accuracy Improvements Constrained by Interpretability Criteria.- COR Methodology: A Simple Way to Obtain Linguistic Fuzzy Models with Good Interpretability and Accuracy.- Constrained optimization of genetic fuzzy systems.- Trade-off between the Number of Fuzzy Rules and Their Classification Performance.- Generating distinguishable, complete, consistent and compact fuzzy systems using evolutionary algorithms.- Fuzzy CoCo: Balancing Accuracy and Interpretability of Fuzzy Models by Means of Coevolution.- On the Achievement of Both Accurate and Interpretable Fuzzy Systems Using Data-Driven Design Processes.- Extending the Modeling Process to Improve the Accuracy.- Linguistic Hedges and Fuzzy Rule Based Systems.- Automatic Construction of Fuzzy Rule-Based Systems: A trade-off between complexity and accuracy maintaining interpretability.- Using Individually Tested Rules for the Data-based Generation of Interpretable Rule Bases with High Accuracy.- Extending the Model Structure to Improve the Accuracy.- A description of several characteristics for improving the accuracy and interpretability of inductive linguistic rule learning algorithms.- An Iterative Learning Methodology to Design Hierarchical Systems of Linguistic Rules for Linguistic Modeling.- Learning Default Fuzzy Rules with General and Punctual Exceptions.- Integration of Fuzzy Knowledge.- Tuning fuzzy partitions or assigning weights to fuzzy rules: which is better?.
Focused on linguistic fuzzy rule-based modeling Reader will acquire a deep knowledge on practical topics such as linguistic system identification with fuzzy systems and accuracy State of the art on the trade-off betwen interpretability and precision in fuzzy rule-based modeling Includes supplementary material: sn.pub/extras

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