Titlebook: Interval / Probabilistic Uncertainty and Non-classical Logics; Van-Nam Huynh,Yoshiteru Nakamori,Hung T. Nguyen Book 2008 Springer-Verlag B

Morsel

Approximating Reasoning for Fuzzy-Based Information Retrievalrieval. We also discuss using approximating reasoning to discover additional relations in the database to support more advanced search functions in an intelligent information retrieval system. This paper also introduces an experimental system implementing our proposed technique. The performance of the system is then evaluated and analyzed.

Foment

Book 2008ing weather to controlling space missions, involve processing large amounts of data and large knowledge bases. The corresponding large-scale data and knowledge processing requires intensive use of computers. Computers are based on processing exact data values and truth values from the traditional 2-

FEAS

resuscitation

1867-5662 25-28, 2008.Recent developments in Uncertainty and Non-clasLarge-scale data processing is important. Most successful applications of m- ern science and engineering, from discovering the human genome to predicting weather to controlling space missions, involve processing large amounts of data and la

Progesterone

惹人反感

chapel

outset

Label Semantics as a Framework for Granular Modellinglations and linguistic decision trees are then introduced as two types of granular models in label semantics. Finally, its shown how linguistic decision trees can be combined within an attribute hierarchy to model complex multi-level composite mappings.

inspiration

Probabilistic Constraints for Inverse Problemsbutions. An inverse problem aims at estimating parameters from observed data, based on some underlying theory about a system behavior. This paper describes how nonlinear inverse problems can be cast into the probabilistic constraint framework, highlighting its ability to deal with all the uncertainty aspects of such problems.

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