Brian Zier and Atsushi Inoue.
Fuzzy Relational Visualization for Decision Support.
In Proceedings of the Twenty-Second Midwest Artificial Intelligence and Cognitive Science Conference, Cincinatti, OH, pp. 8--15, 2011.

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Abstract:

A study on fuzzy relational visualization in system development aspects is presented. The front-end enables dynamic and scalable changes in visualization according to user's expertise and inspiration. Integrative management of various data and knowledge is handled by the back-end at any scale in cloud computing environment. Extended Logic Programming is used as the core of fuzzy relational management in the back-end, and is capable of consistent uncertainty management among probabilistic reasoning and fuzzy logic while maintaining asymptotically equivalent run-time with the ordinary Logic Programming. A multi-view relational visualization is being implemented and important graphical features are highlighted in this paper.

Bibtex:

@InProceedings{  zier:2011:FRDS,
  author = 	 {Brian Zier and Atsushi Inoue},
  title = 	 {Fuzzy Relational Visualization for Decision Support},
  booktitle =    {Proceedings of the Twenty-Second Midwest Artificial
                 Intelligence and Cognitive Science Conference, Cincinatti, OH},
  pages = 	 {8--15},
  year = 	 {2011},
}

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References:


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