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2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)
A Fuzzy Web Surfer Model
Compi?gne University of Technology, France
September 19-September 22
ISBN: 0-7695-2415-X
B. L. Narayan, Indian Statistical Institute
Sankar K. Pal, Indian Statistical Institute
A novel web surfer model, where the transitions between web pages are fuzzy quantities, is proposed in this article. Such a model is appropriate when the links between pages are imprecise. The theoretical aspects of modeling the uncertainty associated with links are discussed. The advantages and limitations of the proposed methodology, which is based on the theory of fuzzy Markov chains, are described. Situations where fuzzy web surfer models are appropriate compared to existing models are highlighted.
Citation:
B. L. Narayan, Sankar K. Pal, "A Fuzzy Web Surfer Model," wi, pp.120-123, 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), 2005
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