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International Conference on Engineering and Business Management (EBM 2010 PAPERBACK)

Chengdu,China,China,3.24-3.26,2010

ISBN: 978-1-935068-05-1 Scientific Research Publishing, USA

Paperback 6066pp Pub. Date: March 2010

Category: Engineering

Price: $280

Title: A Research of Applying Fuzzy-AHP and BPNN to Website Structure Analysis---Case Study on Google Page Rank
Source: International Conference on Engineering and Business Management (EBM 2010 PAPERBACK) (pp 1844-1847)
Author(s): Liang-Chyau SHEU, Institute of Industrial Engineering and systems Management, Chung Hua University, Hsinchu City, Chinese Taipei
Chih-Ping CHEN, Institute of Industrial Engineering and system Management, Chung Hua University, Hsinchu City, Chinese Taipei
Chi-Huang YEH, Institute of Technology Management, Chung Hua University, Hsinchu City, Chinese Taipei
Abstract: Abstract: Many traditional web site structures will downgrade the ranking during modern Internet searching engines. Some experts pointed out that there are many factors in the web site structure that will affect the acceptance and ranking of Internet searching engine. This study is to collect the measurable index from the web site structure and to apply the quantitative indicators from Google PageRank instead of the real order of web site. Back-propagation neural network training is used to simulate the ranking on Internet and to measure the index by analyzing the level based on fuzzy theory. The result can be used to provide a guide for adjusting structure during the early stage of creating web site and to get a reasonable prediction of the ranking.
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