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Computational Intelligence Based on Lattice Theory

Englisch · Fester Einband

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A number of di?erent instruments for design can be uni?ed in the context of lattice theory towards cross-fertilization By"latticetheory"[1]wemean,equivalently,eitherapartialordering relation [2,3]ora couple of binary algebraic operations [3, 4]. There is a growing interest in computational intelligence based on lattice theory. A number of researchers are currently active developing lattice theory based models and techniques in engineering, computer and information s- ences, applied mathematics, and other scienti?c endeavours. Some of these models and techniques are presented here. However, currently, lattice theory is not part of the mainstream of com- tationalintelligence.Amajorreasonforthisisthe"learningcurve"associated with novel notions and tools. Moreover, practitioners of lattice theory, in s- ci?c domains of interest, frequently develop their own tools and/or practices without being aware of valuable contributions made by colleagues. Hence, (potentially) useful work may be ignored, or duplicated. Yet, other times, di?erent authors may introduce a con?icting terminology. The compilation of this book is an initiative towards proliferating est- lished knowledge in the hope to further expand it, soundly. There was a critical mass of people and ideas engaged to produce this book. Around two thirds of this book's chapters are substantial enhancements of preliminary works presented lately in a three-part special session entitled "Computational Intelligence Based on Lattice Theory" organized in the c- text of the World Congress in Computational Intelligence (WCCI), FUZZ- IEEE program, July 16-21, 2006 in Vancouver, BC, Canada. The remaining book chapters are novel contributions by other researchers.

Zusammenfassung

A number of di?erent instruments for design can be uni?ed in the context of lattice theory towards cross-fertilization By“latticetheory”[1]wemean,equivalently,eitherapartialordering relation [2,3]ora couple of binary algebraic operations [3, 4]. There is a growing interest in computational intelligence based on lattice theory. A number of researchers are currently active developing lattice theory based models and techniques in engineering, computer and information s- ences, applied mathematics, and other scienti?c endeavours. Some of these models and techniques are presented here. However, currently, lattice theory is not part of the mainstream of com- tationalintelligence.Amajorreasonforthisisthe“learningcurve”associated with novel notions and tools. Moreover, practitioners of lattice theory, in s- ci?c domains of interest, frequently develop their own tools and/or practices without being aware of valuable contributions made by colleagues. Hence, (potentially) useful work may be ignored, or duplicated. Yet, other times, di?erent authors may introduce a con?icting terminology. The compilation of this book is an initiative towards proliferating est- lished knowledge in the hope to further expand it, soundly. There was a critical mass of people and ideas engaged to produce this book. Around two thirds of this book’s chapters are substantial enhancements of preliminary works presented lately in a three-part special session entitled “Computational Intelligence Based on Lattice Theory” organized in the c- text of the World Congress in Computational Intelligence (WCCI), FUZZ- IEEE program, July 16-21, 2006 in Vancouver, BC, Canada. The remaining book chapters are novel contributions by other researchers.

Produktdetails

Mitarbeit Vassilis G. Kaburlasos (Herausgeber), Gerhard X. Ritter (Herausgeber), Vassilis G Kaburlasos (Herausgeber), X Ritter (Herausgeber)
Verlag Springer, Berlin
 
Inhalt Buch
Produktform Fester Einband
Erscheinungsdatum 14.04.2009
Thema Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik
 
EAN 9783540726869
ISBN 978-3-540-72686-9
Anzahl Seiten 375
Illustration XVI, 375 p.
Abmessung (Verpackung) 15.5 x 23.5 cm
Gewicht (Verpackung) 696 g
 
Serie Studies in Computational Intelligence > 67
Studies in Computational Intelligence
Themen B, machine learning, Artificial Intelligence, Mathematik für Ingenieure, Learning, engineering, intelligence, pattern recognition, Mathematical and Computational Engineering, Engineering mathematics, Applied mathematics, Mathematical and Computational Engineering Applications, Maths for engineers, Pattern Analysis, Fuzzy sets, neural network
 

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