ENGLISH

Foundations of Computational Intelligence Volume 2: Approximate Reasoning

By Ajith Abraham , Aboul-Ella Hassanien , James F. Peters (auth.) , Francisco Herrera (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2009
ISBN
978-3-540-92901-7, 978-3-540-92915-4, 978-3-540-92999-4, 978-3-540-95971-7
DOI
10.1007/978-3-642-01533-5
Language
english
Format
PDF
Filesize
13 MB (14002288 bytes)
Series
Studies in Computational Intelligence 202
Volume
Volume 2
Edition
1
Pages
312\310
Library
Kingdwarf
Time added
2010-01-07 06:59:20
Appl.Mathematics/Computational Methods of Engineer

Description

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.

Similar books