Foundations of Computational Intelligence Volume 2: Approximate Reasoning

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

Human reasoning usually is very approximate and involves various types of uncertainties. Approximate reasoning is the computational modelling of any part of the process used by humans to reason about natural phenomena or to solve real world problems. The scope of this book includes fuzzy sets, Dempster-Shafer theory, multi-valued logic, probability, random sets, and rough set, near set and hybrid intelligent systems. Besides research articles and expository papers on theory and algorithms of approximation reasoning, papers on numerical experiments and real world applications were also encouraged. This Volume comprises of 12 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Intelligence techniques for approximation reasoning. The Volume is divided into 2 parts: Part-I: Approximate Reasoning – Theoretical Foundations and Part-II: Approximate Reasoning – Success Stories and Real World Applications.

Author(s): James F. Peters (auth.), Aboul-Ella Hassanien, Ajith Abraham, Francisco Herrera (eds.)
Series: Studies in Computational Intelligence 202
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009

Language: English
Pages: 312
Tags: Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)

Front Matter....Pages -
Front Matter....Pages 1-1
Fuzzy Sets, Near Sets, and Rough Sets for Your Computational Intelligence Toolbox....Pages 3-25
Fuzzy without Fuzzy: Why Fuzzy-Related Aggregation Techniques Are Often Better Even in Situations without True Fuzziness....Pages 27-51
Intermediate Degrees Are Needed for the World to Be Cognizable: Towards a New Justification for Fuzzy Logic Ideas....Pages 53-74
Paraconsistent Annotated Logic Program Before-after EVALPSN and Its Application....Pages 75-108
Front Matter....Pages 109-109
A Fuzzy Set Approach to Software Reliability Modeling....Pages 111-131
Computational Methods for Investment Portfolio: The Use of Fuzzy Measures and Constraint Programming for Risk Management....Pages 133-173
A Bayesian Solution to the Modifiable Areal Unit Problem....Pages 175-196
Fuzzy Logic Control in Communication Networks....Pages 197-236
Adaptation in Classification Systems....Pages 237-258
Music Instrument Estimation in Polyphonic Sound Based on Short-Term Spectrum Match....Pages 259-273
Ultrasound Biomicroscopy Glaucoma Images Analysis Based on Rough Set and Pulse Coupled Neural Network....Pages 275-293
An Overview of Fuzzy C-Means Based Image Clustering Algorithms....Pages 295-310
Back Matter....Pages -