Foundations of Computational Intelligence Volume 2: Approximate Reasoning / Edition 1

Foundations of Computational Intelligence Volume 2: Approximate Reasoning / Edition 1

by Aboul-Ella Hassanien, Ajith Abraham, Francisco Herrera
     
 

ISBN-10: 3642015328

ISBN-13: 9783642015328

Pub. Date: 06/11/2009

Publisher: Springer Berlin Heidelberg

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,

Overview

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.

Product Details

ISBN-13:
9783642015328
Publisher:
Springer Berlin Heidelberg
Publication date:
06/11/2009
Series:
Studies in Computational Intelligence Series , #202
Edition description:
2009
Pages:
312
Product dimensions:
6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Part-I: Approximate Reasoning – Theoretical Foundations.- Part-II: Approximate Reasoning – Success Stories and Real World Applications.

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