Computational Web intelligence and granular Web intelligence for Web uncertainty
Yali Zhang · 2005
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.