Ling Zhang, Bo Zhang

Quotient Space Based Problem Solving

A Theoretical Foundation of Granular Computing

• Gebundenes Buch

Produktbeschreibung

Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search.

Produktdetails

• Verlag: Morgan Kaufmann
• Artikelnr. des Verlages: C2012-0-06873-1
• Seitenzahl: 396
• Erscheinungstermin: 25. Februar 2014
• Englisch
• Abmessung: 238mm x 195mm x 22mm
• Gewicht: 914g
• ISBN-13: 9780124103870
• ISBN-10: 0124103871
• Artikelnr.: 40028844

Autorenporträt

Professor Ling Zhang is currently with the Department of Computer Science at Anhui University in Hefei, China. His main interests are artificial intelligence, machine learning, neural networks, genetic algorithms and computational intelligence.

Inhaltsangabe

Chapter 1 Problem Representation

Chapter 2 Hierarchy and Multi-granular Computing

Chapter 3 Information Synthesis in Multi-granular Computing

Chapter 4 Reasoning in Multi-granular Computing

Chapter 5 Automatic Spatial Planning

Chapter 6 Statistical Heuristic Search

Chapter 7 the Expansion of Quotient Space Theory

Addenda A: Some Concepts and Properties of Point Set Topology

Addenda B: Some Concepts and Properties of Integral and Statistical Inference

Rezensionen

"The entire book is devoted to formalize and automate...a theory of granular computing, which is essentially based on quotient spaces." --Zentralblatt MATH

"... aimed primarily at graduate students (and academicians) with strong mathematical maturity and an interest in mathematical modeling in the fields around artificial intelligence (AI)." --Computing Reviews, November 2014