Research of Logical Reasoning and Application Based on Granular Computing Rough Sets

Wei Wang; Sheng Wu Xiong

doi:10.4028/www.scientific.net/AMR.622-623.1877

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Discussion on the Establishment of Enterprise Cost Management Early Warning System
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Realization of Interoperation Process of One Example Highway Management Information System
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Improving Purchasing Performance by Implementation of QMS Process Management Approach in a Manufacturing Company
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Comparative Research on the Undergraduate Program for Specialty in Materials Engineering
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Research of Logical Reasoning and Application Based on Granular Computing Rough Sets
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Effect of Renewable Distributed Generators on the Fault Current Level of the Power Distribution Systems
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Assessment of Distributed Generation on the Efficiency of Single Wire Earth Return Systems
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The Dowel Group Action in Jointed Concrete Pavement
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Subsidized Energy Pricing in Bangladesh and Consequences of Phasing Subsidy Out
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 622-623Research of Logical Reasoning and Application...

Research of Logical Reasoning and Application Based on Granular Computing Rough Sets

Abstract:

In this paper, the information granule based on granular computing is discussed, the granular computing formula of IS (Information System) uncertainties reasoning based Rough and its processes have been proposed. The fish disease diagnostic information data are fuzziness, randomness and uncertainties in the field of aquaculture. The logical reasoning algorithms are described using fuzzy decision table, which is composed of the condition attributes granules formed by the fish disease symptoms sets and decision granules formed by the fish diseases sets. This method is that fish disease diagnostic rules acquisition process, not only can promote the development of granular computing theory application, but also provide a new method for fish disease diagnosis.

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Periodical:

Advanced Materials Research (Volumes 622-623)

Pages:

1877-1881

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.622-623.1877

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Online since:

December 2012

Authors:

Wei Wang, Sheng Wu Xiong

Keywords:

Granular Computing, Granule, Reasoning, Rough Set (RS), Uncertainty

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