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Публікація Computational Complexity of the Accessory Function Setting Mechanism in Fuzzy Intellectual Systems(WARSE, 2019) M. Ayaz Ahmad; Tvoroshenko, I.; Jalal Hasan Baker; Lyashenko, V.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.Публікація Modeling the Structure of Intellectual Means of Decision-Making Using a System-Oriented NFO Approach(WARSE, 2019) M. Ayaz Ahmad; Tvoroshenko, I.; Jalal Hasan Baker; Lyashenko, V.This article developed the structure of an intelligent decision-making system based on the constructed NFO-models, which demonstrated an increase in the effectiveness of decisions made in the medical diagnosis of some cardiovascular diseases. The presented architecture leads to the adoption of reliable decisions through the use of the verbal method of presenting data. This system uses existing approaches to formalization and diagnostics, conducts data mining, and provides the user with complete information for making a decision. Intelligent decision-making system can be used both in clinical practice by novice specialists, and in training students and doctors in continuing education institutions.Публікація Study of Wavelet Methodology and Chaotic Behavior of Produced Particles in Different Phase Spaces of Relativistic Heavy Ion Collisions(Scientific Research Publishing, 2017) M. Ayaz Ahmad; Lyashenko, V.; Deineko, Z.; Jalal Hasan Baker; Shafiq AhmadWe applied the wavelet methodology for our earlier published research work of the chaotic behavior so called multiplicity fluctuations of secondary charged particles produced during the nucleus-nucleus (A-A) collisions at an energy of the order of ≈ 409 GeV in a new fashion. We illustrated the wavelet coherency in a relation of chaotic behavior for above said data of secondary charged pions in different phase spaces of collisions such as: η-space, φ-space (in one dimension) and ηφ-space (in two dimensions) respectively. We have shown the changes in the wavelet coherence when there are different values of two parameters “q” and “p”. We discussed our new results for the comparison purpose and findings were in the good agreements.