Optimization of Tsukamoto Fuzzy Inference System using Fuzzy Grid Partition

Ibbi, Hartono Optimization of Tsukamoto Fuzzy Inference System using Fuzzy Grid Partition. IJCSN - International Journal of Computer Science and Network, 2016, vol. 5, n. 5, pp. 786-791. [Journal article (Paginated)]

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English abstract

This research paper introduces a novel statement for optimizing Tsukamoto fuzzy inference system. Suppose we are given some mathematical programming problem that will solve using Tsukamoto Fuzzy Inference System. We will using the linkable label of the variable that construct from the Fuzzy Grid Partition in correcting the limitation of Tsukamoto Fuzzy Inference System. Our research will show the crisp value from the Tsukamoto Fuzzy Inference System and the crisp value from the process of optimization using Fuzzy Grid Partition. Our research will find a fair optimal solution to the original fuzzy problem.

Item type: Journal article (Paginated)
Keywords: Tsukamoto Fuzzy Inference System, Fuzzy Grid Partition, Linkable Label, Optimization
Subjects: I. Information treatment for information services > ID. Knowledge representation.
Depositing user: IJCSN Journal
Date deposited: 10 Oct 2017 20:13
Last modified: 10 Oct 2017 20:13
URI: http://hdl.handle.net/10760/30356

References

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