Beatrice Lazzerini, Lakhmi C. Jain, D. Dumitrescu

Fuzzy Sets & their Application to Clustering & Training (eBook, PDF)

• Format: PDF

Produktbeschreibung

Fuzzy logic applications allow uncertain or imprecise data to be clustered and analyzed when traditional methods cannot be used. Very large and complex intelligence databases - such as those used in system design, banking and finance, medical diagnosis, and defense - are all candidates for real-world application of this technology. In this volume, an international team of authors provides a thorough introduction to fuzzy set theory then progresses through the algorithms and techniques used to manipulate data using fuzzy sets, including classification, hierarchy, and cluster structure.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 664
• Erscheinungstermin: 24. März 2000
• Englisch
• ISBN-13: 9781482273977
• Artikelnr.: 57530933

Autorenporträt

Beatrice Lazzerini, Lakhmi C. Jain, D. Dumitrescu

Inhaltsangabe

Fuzzy Sets. Entropy of Finite Fuzzy Partitions. Fuzziness and Non-Fuzziness
Measures. Fuzzy Training Procedures. One-Level Classification: Cluster
Substructure of a Fuzzy Class. One-Level Classification: Adaptive
Algorithms. Cluster Validity. Convergence of Fuzzy clustering Algorithms.
Fuzzy Discriminant Analysis and Related Clustering Criteria. Divisive
Hierarchical Clustering. Classification with Structural Constraints.
Classification in Pseudometric Spaces. Bibliography.
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