Soft Computing for Business Intelligence
Editors: Espin, R., Pérez, R.B., Cobo, A., Marx Gómez, J., Valdés, A.R. (Eds.)
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- Results of an initiative of the Iberian American Network of Knowledge Discovery Eureka Iberoamerica
- Written by leading experts in the field
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- About this book
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The book Soft Computing for Business Intelligence is the remarkable output of a program based on the idea of joint trans-disciplinary research as supported by the Eureka Iberoamerica Network and the University of Oldenburg.
It contains twenty-seven papers allocated to three sections: Soft Computing, Business Intelligence and Knowledge Discovery, and Knowledge Management and Decision Making. Although the contents touch different domains they are similar in so far as they follow the BI principle “Observation and Analysis” while keeping a practical oriented theoretical eye on sound methodologies, like Fuzzy Logic, Compensatory Fuzzy Logic (CFL), Rough Sets and other soft computing elements.
The book tears down the traditional focus on business, and extends Business Intelligence techniques in an impressive way to a broad range of fields like medicine, environment, wind farming, social collaboration and interaction, car sharing and sustainability.
- Table of contents (27 chapters)
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Compensatory Fuzzy Logic: A Frame for Reasoning and Modeling Preference Knowledge in Intelligent Systems
Pages 3-23
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Compensatory Fuzzy Logic Inference
Pages 25-43
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A Fuzzy Approach to Prospect Theory
Pages 45-66
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Probabilistic Approaches to the Rough Set Theory and Their Applications in Decision-Making
Pages 67-80
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New Rough Sets by Influence Zones Morphological Concept
Pages 81-96
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Table of contents (27 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Soft Computing for Business Intelligence
- Editors
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- Rafael Espin
- Rafael Bello Pérez
- Angel Cobo
- Jorge Marx Gómez
- Ariel Racet Valdés
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 537
- Copyright
- 2014
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-53737-0
- DOI
- 10.1007/978-3-642-53737-0
- Hardcover ISBN
- 978-3-642-53736-3
- Softcover ISBN
- 978-3-662-50903-6
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- XII, 432
- Number of Illustrations
- 91 b/w illustrations, 4 illustrations in colour
- Topics
