Computational Complexity of the Accessory Function Setting Mechanism in Fuzzy Intellectual Systems

M. Ayaz Ahmad; Tvoroshenko, I.; Jalal Hasan Baker; Lyashenko, V.

Публікація:
Computational Complexity of the Accessory Function Setting Mechanism in Fuzzy Intellectual Systems

dc.contributor.author	M. Ayaz Ahmad
dc.contributor.author	Tvoroshenko, I.
dc.contributor.author	Jalal Hasan Baker
dc.contributor.author	Lyashenko, V.
dc.date.accessioned	2020-03-30T12:23:24Z
dc.date.available	2020-03-30T12:23:24Z
dc.date.issued	2019
dc.description.abstract	This article proposes a mechanism for processing fuzzy symptoms, as well as all related factors presented in natural language, which made it possible to improve the intellectual decision-making system in the field of cardiology by adjusting membership functions. The computational complexity of solving the problem according to the criterion of time costs is determined, it is close to exponential from the selected calculation accuracy, which indicates the effectiveness and the absence of disadvantages of the proposed mechanism for a given criterion. The software implementation of the mechanism for setting membership functions in a fuzzy intellectual system is implemented in the Python 3.6 object-oriented programming environment. The laboratory operation of a fuzzy intellectual system has confirmed the high reliability of making objective decisions in the medical subject area.	uk_UA
dc.identifier.citation	Ahmad M. A., Tvoroshenko I., Baker J. H., Lyashenko V. Computational Complexity of the Accessory Function Setting Mechanism in Fuzzy Intellectual Systems // International Journal of Advanced Trends in Computer Science and Engineering. – 2019. – Vol. 8(5). – P. 2370-2377.	uk_UA
dc.identifier.issn	2278-3091
dc.identifier.uri	http://openarchive.nure.ua/handle/document/11271
dc.language.iso	en	uk_UA
dc.publisher	WARSE	uk_UA
dc.subject	Intelligent System	uk_UA
dc.subject	Fuzzy Logic	uk_UA
dc.subject	Genetic Algorithm	uk_UA
dc.subject	Computational Complexity	uk_UA
dc.title	Computational Complexity of the Accessory Function Setting Mechanism in Fuzzy Intellectual Systems	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication