The improvement of the method for developing the knowledge data base for the intelligent support system of decision making on the Fuzzy Logic principles | Zendy

V. B. Kropyvnytska | Zendy; O. V. Yefremov | Zendy; H. N. Sementsov | Zendy

Open Access

The improvement of the method for developing the knowledge data base for the intelligent support system of decision making on the Fuzzy Logic principles

Author(s) -

V. B. Kropyvnytska,

O. V. Yefremov,

H. N. Sementsov

Publication year - 2018

Publication title -

oil and gas power engineering

Language(s) - English

Resource type - Journals

eISSN - 2415-3109

pISSN - 1993-9868

DOI - 10.31471/1993-9868-2018-1(29)-26-41

Subject(s) - fuzzy logic , computer science , knowledge base , neuro fuzzy , matlab , base (topology) , artificial intelligence , fuzzy electronics , control engineering , presentation (obstetrics) , adaptive neuro fuzzy inference system , fuzzy control system , cascade , fuzzy set operations , data mining , engineering , mathematics , operating system , mathematical analysis , medicine , chemical engineering , radiology

The article deals with the issue of Fuzzy-simulation of controllers for solving practical problems of automated control. The peculiarities of Fuzzy-simulation of cascade controllers in the Matlab environment are studied. The presentation is accompanied by examples of the development of individual Fuzzy models and an illustration of conducting all necessary operations with fuzzy sets.

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