Results 191 to 200 of about 1,097 (224)
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2011 Third Pacific-Asia Conference on Circuits, Communications and System (PACCS), 2011
We consider fuzzy Boolean constraint satisfaction problems, determine their complexity, isolate their islands of tractability, and show how they can be applied in digital photography.
Miki Hermann
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We consider fuzzy Boolean constraint satisfaction problems, determine their complexity, isolate their islands of tractability, and show how they can be applied in digital photography.
Miki Hermann
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IEEE Transactions on Systems, Man, and Cybernetics, 2004
Possible techniques for representing automatic decision-making behavior approximating human experts in complex simulation model experiments are of interest. Here, fuzzy logic (FL) and constraint satisfaction problem (CSP) methods are applied in a hybrid design of automatic decision making in simulation game models.
S. Braathen, O. J. Sendstad
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Possible techniques for representing automatic decision-making behavior approximating human experts in complex simulation model experiments are of interest. Here, fuzzy logic (FL) and constraint satisfaction problem (CSP) methods are applied in a hybrid design of automatic decision making in simulation game models.
S. Braathen, O. J. Sendstad
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Solving fuzzy constraint satisfaction problems with fuzzy GENET
Proceedings Tenth IEEE International Conference on Tools with Artificial Intelligence (Cat. No.98CH36294), 2002Constraint 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
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A fuzzy constraint satisfaction problem in the wine industry
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 1998Cette 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
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Heuristics for solving fuzzy constraint satisfaction problems
Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 2002Work 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
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Solving fuzzy constraint satisfaction problems
Proceedings of 6th International Fuzzy Systems Conference, 2002Up 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
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JFSolver: a tool for modeling and solving fuzzy constraint satisfaction problems
10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2002Presents 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
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A generic algorithm for fuzzy constraint satisfaction problems
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2002In 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
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Logical analysis of fuzzy constraint satisfaction problems
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228), 2002Fuzzy sets naturally model elastic constraints, the fuzzy constraints satisfaction problem (FCSP) enables the introduction of different kinds of flexibility. Levels of priority can be attached to constraints, and satisfaction levels can be fuzzily thresholded.
J.M. Pires, H. Prade
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On Considering Constraints of Different Importance in Fuzzy Constraint Satisfaction Problems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998Several real-world applications (e.g., scheduling, configuration, …) can be formulated as Constraint Satisfaction Problems (CSP). In these cases, a set of variables have to be settled to a value with the requirement that they satisfy a set of constraints. Classical CSPs are defined only by means of crisp (Boolean) constraints.
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