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Defi nition algorithm type and parameters of membership function of fuzzy measuring

Milovidova Anna Aleksandrovna  (Senior teacher, Dubna State University )

Cheremisina Evgeniya Naumovna  (Doctor of Science in Engineering, professor, Dubna State University)

Dobrynin Vladimir Nikolaevich  (Candidate of Science in Engineering, professor, Dubna State University)

The article is dedicated development definition algorithm type and pa-rameters of membership function of fuzzy measuring. The use of fuzzy logic in the algorithm makes it possible based on the expert table to determine the type and parameters of the membership function of fuzzy variable characterizing the quality of raw materials, status of processing equipment. The algorithm allows the use of expert knowledge for effective management processing process considering changes in raw material quality and experience of technologists

Keywords:technological process, fuzzy logic, membership function, expert table
 

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Citation link:
Milovidova A. A., Cheremisina E. N., Dobrynin V. N. Defi nition algorithm type and parameters of membership function of fuzzy measuring // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2019. -№09. -С. 69-74
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