Foundations of Computational Intelligence Volume 2: Approximate Reasoning (repost)
Foundations of Computational Intelligence Volume 2: Approximate Reasoning by Aboul-Ella Hassanien, Ajith Abraham, Francisco Herrera
English | ISBN: 3642015328 | 2009 | PDF | 310 pages | 10 mb
English | ISBN: 3642015328 | 2009 | PDF | 310 pages | 10 mb
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.