Foundations of computational intelligence volume 2

Repository | Series | Book

Springer, Dordrecht

2009

310 Pages

ISBN 978-3-642-01532-8

Studies in Computational Intelligence
vol. 202

Foundations of computational intelligence volume 2

approximate reasoning

Edited by

Ajith Abraham, Francisco Herrera, Aboul-Ella Hassanien

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 andreal 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.

Publication details

DOI: 10.1007/978-3-642-01533-5

Full citation:

Abraham, A. , Herrera, F. , Hassanien, A.-E. (eds) (2009). Foundations of computational intelligence volume 2: approximate reasoning, Springer, Dordrecht.

Table of Contents

Fuzzy sets, near sets, and rough sets for your computational intelligence toolbox

Peters James F.

3-25