This book presents and discusses current research in the study of genetic algorithms, fuzzy systems and website classification. Topics discussed include genetic algorithm for optimal design of fuzzy classifiers; design and analysis of type-2 fuzzy PI controller; selection of supply chain through fuzzy outranking techniques; fast web page classification without accessing the web page using machine learning techniques; classification algorithms in handling noisy training data and meta data generation for automates web page classification.
| ISBN: | 9781613240007 |
| Publication date: | 16th March 2012 |
| Author: | Rafiqul Islam |
| Publisher: | Nova Science Publishers an imprint of Nova Science Publishers Inc |
| Format: | Hardback |
| Pagination: | 226 pages |
| Series: | Computer Science, Technology and Applications. |
| Genres: |
Computer science |
This book presents and discusses current research in the study of genetic algorithms, fuzzy systems and website classification. Topics discussed include genetic algorithm for optimal design of fuzzy classifiers; design and analysis of type-2 fuzzy PI controller; selection of supply chain through fuzzy outranking techniques; fast web page classification without accessing the web page using machine learning techniques; classification algorithms in handling noisy training data and meta data generation for automates web page classification.
Genetic Algorithms, Fuzzy Systems, and Website Classification features in the following genres: Computer science
Genetic Algorithms, Fuzzy Systems, and Website Classification is available in Hardback
Genetic Algorithms, Fuzzy Systems, and Website Classification was written by Rafiqul Islam and published by Nova Science Publishers an imprint of Nova Science Publishers Inc
Genetic Algorithms, Fuzzy Systems, and Website Classification has 226 pages
Yes it is part of Computer Science, Technology and Applications. series