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Fuzzy constraint satisfaction problem for model-based image interpretation

Fuzzy Sets and Systems, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jordi Inglada   +2 more
exaly   +3 more sources

A Fuzzy Constraint Satisfaction Approach to Identify and Characterize Apnea Episodes

2008 2nd International Conference on Bioinformatics and Biomedical Engineering, 2008
This paper presents an algorithm that permits the identification of apneas - cessations in the sleeping patient's respiratory flow - in the respiratory airflow signal and relates them to the drops in blood oxyhemoglobin saturation that they produce.
Paulo Felix Lamas, C Zamarrón
exaly   +2 more sources

On solving fuzzy constraint satisfaction problems with genetic algorithms

open access: yes1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360), 2002
An attempt to solve fuzzy constraint satisfaction problems (FCSPs) with the use of genetic algorithms (GAs) is presented in the paper. A fuzzy relation that represents the degrees of satisfaction of fuzzy constraints in a given FCSP is considered as an objective function of the respective unconstrained optimization problem.
Ryszard Kowalczyk (18926107)
openaire   +2 more sources

Solving fuzzy constraint satisfaction problems with fuzzy GENET

Proceedings Tenth IEEE International Conference on Tools with Artificial Intelligence (Cat. No.98CH36294), 2002
Constraint satisfaction is well known to be applicable in modeling AI problems. Despite their extensive literature, the framework is sometimes inflexible and the results are not very satisfactory when applied to real-life problems. With the incorporation of the theory of fuzzy sets, fuzzy constraint satisfaction problems (FCSP's) have been exploited ...
Jason H. Y. Wong, Ho-fung Leung
openaire   +2 more sources

Heuristics for solving fuzzy constraint satisfaction problems

Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 2002
Work in the field of AI over the past twenty years has shown that many problems can be represented as constraint satisfaction problems and efficiently solved by constraint satisfaction algorithms. However, constraint satisfaction in its pure form isn't always suitable far real world problems, as they often tend to be inconsistent, which means the ...
Hans W. Guesgen, Anne Philpott
openaire   +2 more sources

A fuzzy constraint satisfaction problem in the wine industry

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 1998
Cette publication présente une situation réelle en oenologie, qui correspond à un cas de satisfaction de contraintes linéaires, où les contraintes sont flexibles, peuvent prendre divers niveaux de priorité ou mettent en jeu des connaissances imparfaites (imprécises ou floues).
Sabbadin, Régis   +3 more
openaire   +3 more sources

Fuzzy Logic Based Techniques for Partial and Fuzzy Constraint Satisfaction

Intelligent Automation & Soft Computing, 1995
ABSTRACTPartial and fuzzy constraint satisfaction involves finding an assignment of values to the variables that maximally satisfies the given set of constraints. Fuzzy logic is a very suitable mathematical tool for representing and reasoning about constraints that are better viewed as “preferences” than “restrictions,” or that do not have a sharp ...
Cheong Yiu Fung, Sing-Chai Chan
openaire   +1 more source

Solving fuzzy constraint satisfaction problems

Proceedings of 6th International Fuzzy Systems Conference, 2002
Up to date, most of the research on constraint satisfaction has considered crisp constraints. Currently new types of constraints are being considered, allowing for intermediate satisfaction degrees between complete satisfaction and complete violation.
P. Meseguer, J. Larrosa
openaire   +1 more source

JFSolver: a tool for modeling and solving fuzzy constraint satisfaction problems

10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2002
Presents an experimental toolkit for modeling and solving fuzzy constraint satisfaction problems (FCSPs) called JFSolver. JFSolver is a Java based library developed as an extension of a crisp constraint programming library to provide an enhanced functionality for handling fuzzy constraints including fuzzy constraint specification, propagation and ...
Ryszard Kowalczyk, Van Bui
openaire   +2 more sources

A generic algorithm for fuzzy constraint satisfaction problems

Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2002
In this paper, we present a generic algorithm of solving a fuzzy constraint satisfaction problem (CSP) based on the notion of an adaptive level cut: the essence of our algorithm is to apply local propagation for solving different level-cut CSPs. The task mainly involves repair operations to speed up the fuzzified local propagation by reusing as much of
null Pei-Lun Hsu, R. Lai
openaire   +1 more source

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