Until now, fuzzy logic has been extensively used to better analyse and design controllers for chemical processes. It has also been used for other applications like parameter estimation of nonlinear continuous-time systems but in general fuzzy logic has been intensively used for heuristics based system. Recently, fuzzy logic has been applied successfully in many areas where conventional model ba...

Go is an ancient oriental game whose complexity has defeated attempts to automate it. We suggest using probability in a Bayesian sense to model the uncertainty arising from the vast complexity of the game tree. We present a simple conditional Markov random field model for predicting the pointwise territory outcome of a game. The topology of the model reflects the spatial structure of the Go boa...

The management of complex systems strongly depends on the ability to handle huge amounts of information. The experience accumulated on a problem represents knowledge we would like to capitalise on in the future and information retrieval (IR) systems offer a valuable support. Uncertainty is a fundamental component of the description of a piece of data and its explicit modelling is the purpose of...

Categorisation and classification are areas that have been well studied in machine learning. However, the use of cognitive theories in psychology as a basis to implement a category formation system designed for creative purposes and based on human behaviour is still largely unexplored. Our aim in this project is to verify how some of the ideas on uncertainty and ambiguity in classification coul...

It is always essential but difficult to capture incomplete, partial or uncertain knowledge when using ontologies to conceptualize an application domain or to achieve semantic interoperability among heterogeneous systems. This chapter presents an on-going research on developing a framework which augments and supplements OWL 5 for representing and reasoning with uncertainty based on Bayesian netw...

Rather than looking at mortality rates directly, a number of recent academic studies have looked at modelling rates of improvement in mortality when making mortality projections. Although relatively new in the academic literature, the use of mortality improvement rates has a long-standing tradition in actuarial practice when allowing for improvements in mortality from standard mortality tables....

This paper proposes assumption-based systems as an efficient and convenient way to encode uncertain information. Assumptionbased systems are obtained from propositional logic by including a special type of propositional symbol called assumption. Assumptions are needed to express the uncertainty of the given information. Assumptionbased systems can be used to judge hypotheses qualitatively or qu...

Physical database design can be marked as a crucial step in the overall design process of databases. The outcome of physical database design is a physical schema which describes the storage and access structures of the stored database. The selection of an eecient physical schema is an NP-complete problem. A signiicant number of eeorts has been reported to develop tools that assist in the select...

There have been significant advances in consequence modelling of releases of hazardous materials in the last decade, but the use of simple models for predicting overpressures from vapour cloud explosions (VCEs) continues to elude safety practitioners. The TNO multi-energy model has generally been regarded as the best model available to date, for a rapid assessment of explosion overpressures and...