DocumentCode
2618872
Title
Computational Web intelligence and granular Web intelligence for Web uncertainty
Author
Zhang, Yan-Qing
Author_Institution
Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA
Volume
1
fYear
2005
fDate
25-27 July 2005
Firstpage
99
Abstract
This paper presents a general overview of basic techniques of computational Web intelligence and granular Web intelligence for Web applications with uncertainty. Web uncertainty has different types such as Web probability, Web fuzziness, Web randomness, etc. A granular set, a general set for dealing with uncertainty, is defined to handle Web data uncertainty. The future work on hybrid Web intelligence is briefly introduced.
Keywords
Internet; fuzzy logic; fuzzy set theory; uncertainty handling; Web fuzziness; Web probability; Web randomness; Web uncertainty; computational Web intelligence; granular Web intelligence; Application software; Artificial intelligence; Competitive intelligence; Computational intelligence; Computer networks; Fuzzy logic; Internet; Personal digital assistants; Uncertainty; Wireless networks; Computational Web intelligence; Web uncertainty; fuzzy sets; granular Web intelligence; granular computing; granular sets; soft computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2005 IEEE International Conference on
Print_ISBN
0-7803-9017-2
Type
conf
DOI
10.1109/GRC.2005.1547243
Filename
1547243
Link To Document