Fuzzy Relational Visualization for Decision Support
نویسندگان
چکیده
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.
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