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

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 14 Nov 2002Publisher:IEEEJournal:10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), volume 1, pages 304-307

Authors: Ryszard Kowalczyk; Van Bui;

doi: 10.1109/fuzz.2001.1007309 , 10.25916/sut.26274397 , 10.25916/sut.26274397.v1

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

- Summary
- Metrics

Abstract

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 search mechanisms. JFSolver comprises an application programming interface for fuzzy constraint programming and a graphical editor for interactive problem definition and solving. This functionality is demonstrated with an illustrative example.

Related Organizations

Swinburne University of Technology
Australia

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average