A Tool for Visualizing the Behavior of Fuzzy Constraint Satisfaction Solvers

Takuto Yanagida; Masahito Kurihara; Hidetoshi Nonaka

doi:10.20965/jaciii.2010.p0425

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JACIII Vol.14 No.5 pp. 425-430

doi: 10.20965/jaciii.2010.p0425

(2010)

Paper:

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A Tool for Visualizing the Behavior of Fuzzy Constraint Satisfaction Solvers

Takuto Yanagida, Masahito Kurihara, and Hidetoshi Nonaka

Graduate School of Information Science and Technology, Hokkaido University, Kita 14, Nishi 9, Kita-ku, Sapporo 060-0814, Japan

Received:

December 2, 2009

Accepted:

February 10, 2010

Published:

July 20, 2010

Keywords:

fuzzy constraint satisfaction problems, visualization, development tool

Abstract

This paper presents a software tool to intuitively comprehend and analyze fuzzy constraint satisfaction problems (FCSPs) through effective visualization with animation. FCSPs are an extension of constraint satisfaction problems (CSPs), which are used for formulating problems in real-world information systems. Once we formulate a problem as an FCSP, it can be solved (in principle) by any existing general-purpose FCSP solvers developed so far. However, the formulation is sometimes difficult because it requires high abstraction of real-world problems and affects the performance of the solvers. The authors believe that the tool will improve this situation by increasing the visibility of the behavior of the solvers.

Cite this article as:

T. Yanagida, M. Kurihara, and H. Nonaka, “A Tool for Visualizing the Behavior of Fuzzy Constraint Satisfaction Solvers,” J. Adv. Comput. Intell. Intell. Inform., Vol.14 No.5, pp. 425-430, 2010.

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References

[1] Z. Ruttkay, “Fuzzy Constraint Satisfaction,” In Proc. of the 3rd IEEE Conf. on Fuzzy Systems, Vol.2, pp. 1263-1268, Orlando, FL, USA, 1994.
[2] T. Yanagida and H. Nonaka, “Flexible Widget Layout Formulated as Fuzzy Constraint Satisfaction Problem,” In K. Nakamatsu, G. Phillips-Wren, L. C. Jain, and R. J. Howlett, editors, Proc. of the 1st KES Int. Symposium on Intelligent Decision Technologies (KES IDT 2009), New Advances in Intelligent Decision Technologies, pp. 73-83, Himeji, Japan, Springer, April 2009.
[3] T. Yanagida, Y. Sudo, and H. Nonaka, “Flexible Widget Layout Based on Fuzzy Constraint Satisfaction,” J. of Japan Society for Fuzzy Theory and Intelligent Informatics, Vol.20, No.6, pp. 840-849, December 2008. (in Japanese)
[4] S. Sadaoui, M. Mouhoub, and X. Li, “An OCL-Based CSP Specification and Solving Tool,” In N. T. Nguyen and R. Katarzyniak, editors, New Challenges in Applied Intelligence Technologies, Vol.134 of Studies in Computational Intelligence, pp. 235-244, Springer, 2008.
[5] L. Grangier. “JCLEditor – A Graphical CSP Solver Based on JCL,” on the Web, 2005.
Available at http://liawww.epfl.ch/JCL/
[6] T. Yanagida. “Download Site for Anvics,” 2009.
Available at http://kussharo.complex.eng.hokudai.ac.jp/˜takty/demo/anvics.en.html
[7] T. Yanagida and Y. Sudo. “Stlics: A Java Library for Fuzzy Constraint Satisfaction Problems,” 2009.
Available at http://kussharo.complex.eng.hokudai.ac.jp/˜takty/interest/stlics.en.html
[8] P. Morris, “The Breakout Method for Escaping From Local Minima,” In Proc. of the 11th National Conf. on Artificial Intelligence (AAAI-93), pp. 40-45, Washington, DC, USA, AAAI Press/The MIT Press, 1993.
[9] R. M. Haralick and G. L. Elliott, “Increasing Tree Search Efficiency for Constraint Satisfaction Problems,” Artificial Intelligence, Vol.14, No.3, pp. 263-313, 1980.
[10] A. J. Davenport, E. P. K. Tsang, C. J. Wang, and K. Zhu, “GENET: A Connectionist Architecture for Solving Constraint Satisfaction Problems by Iterative Improvement,” In Proc. of the 12th National Conf. on Artificial Intelligence (AAAI ’94), pp. 325-330, 1994.
[11] G. Verfaillie and T. Schiex, “Solution Reuse in Dynamic Constraint Satisfaction Problems,” In Proc. of the 12th National Conf. on Artificial Intelligence, pp. 307-312, Seattle, WA, USA, AAAI Press, 1994.
[12] I. Miguel and Q. Shen, “Extending FCSP to Support Dynamically Changing Problems,” In Proc. of the 8th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE ’99), Vol.3, pp. 1615-1620, Seoul, Korea, 1999.
[13] J. H. Y. Wong and H. Leung, “Extending GENET to Solve Fuzzy Constraint Satisfaction Problems,” the 15th National Conf. on Artificial Intelligence/10th Conf. on Innovative Applications of Artificial Intelligence, (AAAI ’98/IAAI ’98), pp. 380-385, Menlo Park, CA, USA, 1998.
[14] Y. Sudo and M. Kurihara, “Spread-Repair-Shrink: A Hybrid Algorithm for Solving Fuzzy Constraint Satisfaction Problems,” In Proc. of the 2006 IEEE World Congress on Computational Intelligence/the 2006 IEEE Int. Conf. on Fuzzy Systems (WCCI 2006/FUZZ-IEEE 2006), pp. 2127-2133, Vancouver, BC, Canada, 2006.
[15] T. M. J. Fruchterman and E. M. Reingold, “Graph Drawing by Force-Directed Placement,” Software – Practice & Experience, Vol.21, No.11, pp. 1129-1164, Nov. 1991.

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] Z. Ruttkay, “Fuzzy Constraint Satisfaction,” In Proc. of the 3rd IEEE Conf. on Fuzzy Systems, Vol.2, pp. 1263-1268, Orlando, FL, USA, 1994.

[2] [2] T. Yanagida and H. Nonaka, “Flexible Widget Layout Formulated as Fuzzy Constraint Satisfaction Problem,” In K. Nakamatsu, G. Phillips-Wren, L. C. Jain, and R. J. Howlett, editors, Proc. of the 1st KES Int. Symposium on Intelligent Decision Technologies (KES IDT 2009), New Advances in Intelligent Decision Technologies, pp. 73-83, Himeji, Japan, Springer, April 2009.

[3] [3] T. Yanagida, Y. Sudo, and H. Nonaka, “Flexible Widget Layout Based on Fuzzy Constraint Satisfaction,” J. of Japan Society for Fuzzy Theory and Intelligent Informatics, Vol.20, No.6, pp. 840-849, December 2008. (in Japanese)

[4] [4] S. Sadaoui, M. Mouhoub, and X. Li, “An OCL-Based CSP Specification and Solving Tool,” In N. T. Nguyen and R. Katarzyniak, editors, New Challenges in Applied Intelligence Technologies, Vol.134 of Studies in Computational Intelligence, pp. 235-244, Springer, 2008.

[5] [5] L. Grangier. “JCLEditor – A Graphical CSP Solver Based on JCL,” on the Web, 2005.
Available at http://liawww.epfl.ch/JCL/

[6] [6] T. Yanagida. “Download Site for Anvics,” 2009.
Available at http://kussharo.complex.eng.hokudai.ac.jp/˜takty/demo/anvics.en.html

[7] [7] T. Yanagida and Y. Sudo. “Stlics: A Java Library for Fuzzy Constraint Satisfaction Problems,” 2009.
Available at http://kussharo.complex.eng.hokudai.ac.jp/˜takty/interest/stlics.en.html

[8] [8] P. Morris, “The Breakout Method for Escaping From Local Minima,” In Proc. of the 11th National Conf. on Artificial Intelligence (AAAI-93), pp. 40-45, Washington, DC, USA, AAAI Press/The MIT Press, 1993.

[9] [9] R. M. Haralick and G. L. Elliott, “Increasing Tree Search Efficiency for Constraint Satisfaction Problems,” Artificial Intelligence, Vol.14, No.3, pp. 263-313, 1980.

[10] [10] A. J. Davenport, E. P. K. Tsang, C. J. Wang, and K. Zhu, “GENET: A Connectionist Architecture for Solving Constraint Satisfaction Problems by Iterative Improvement,” In Proc. of the 12th National Conf. on Artificial Intelligence (AAAI ’94), pp. 325-330, 1994.

[11] [11] G. Verfaillie and T. Schiex, “Solution Reuse in Dynamic Constraint Satisfaction Problems,” In Proc. of the 12th National Conf. on Artificial Intelligence, pp. 307-312, Seattle, WA, USA, AAAI Press, 1994.

[12] [12] I. Miguel and Q. Shen, “Extending FCSP to Support Dynamically Changing Problems,” In Proc. of the 8th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE ’99), Vol.3, pp. 1615-1620, Seoul, Korea, 1999.

[13] [13] J. H. Y. Wong and H. Leung, “Extending GENET to Solve Fuzzy Constraint Satisfaction Problems,” the 15th National Conf. on Artificial Intelligence/10th Conf. on Innovative Applications of Artificial Intelligence, (AAAI ’98/IAAI ’98), pp. 380-385, Menlo Park, CA, USA, 1998.

[14] [14] Y. Sudo and M. Kurihara, “Spread-Repair-Shrink: A Hybrid Algorithm for Solving Fuzzy Constraint Satisfaction Problems,” In Proc. of the 2006 IEEE World Congress on Computational Intelligence/the 2006 IEEE Int. Conf. on Fuzzy Systems (WCCI 2006/FUZZ-IEEE 2006), pp. 2127-2133, Vancouver, BC, Canada, 2006.

[15] [15] T. M. J. Fruchterman and E. M. Reingold, “Graph Drawing by Force-Directed Placement,” Software – Practice & Experience, Vol.21, No.11, pp. 1129-1164, Nov. 1991.