Title :
Computational Web intelligence and granular Web intelligence for Web uncertainty
Author_Institution :
Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA
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;
Conference_Titel :
Granular Computing, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9017-2
DOI :
10.1109/GRC.2005.1547243
