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FUZZIEEE
2007
IEEE
15 years 10 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
ICTAI
2006
IEEE
15 years 10 months ago
Incremental Filtering Algorithms for Precedence and Dependency Constraints
Precedence constraints play a crucial role in planning and scheduling problems. Many real-life problems also include dependency constraints expressing logical relations between the...
Roman Barták, Ondrej Cepek
CASSIS
2004
Springer
15 years 9 months ago
Modelling Mobility Aspects of Security Policies
Security policies are rules that constrain the behaviour of a system. Different, largely unrelated sets of rules typically govern the physical and logical worlds. However, increa...
Pieter H. Hartel, Pascal van Eck, Sandro Etalle, R...
ICLP
2003
Springer
15 years 9 months ago
On Deterministic Computations in the Extended Andorra Model
Logic programming is based on the idea that computation is controlled inference. The Extended Andorra Model provides a very powerful framework that supports both co-routining and p...
Ricardo Lopes, Vítor Santos Costa, Fernando...
LPAR
2001
Springer
15 years 8 months ago
A Computer Environment for Writing Ordinary Mathematical Proofs
The EPGY Theorem-Proving Environment is designed to help students write ordinary mathematical proofs. The system, used in a selection of computer-based proof-intensive mathematics ...
David McMath, Marianna Rozenfeld, Richard Sommer