TECHNIQUES TO SOLVE DECISION-MAKING PROBLEMS

Authors

Dilnoz Tulkunovna Muhamediyeva, Scientific and Innovation Center of Information and Communication Technologies at Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Address: Amir Temurstreet, 108, 100200, Tashkent city, Republic of Uzbekistan, Phone:+998-95-195-47-52Follow
Bekmuratov Fayzievich Tulkun, Scientific and Innovation Center of Information and Communication Technologies at Tashkent University of Information Technologies named after Muhammad al-Khwarizmi

Abstract

Solving decision-making problems in poorly formalized systems only with the help of deterministic and probabilistic methods is insufficient. To do this, it is necessary to widely apply the methods of hybrid intelligent systems and, especially, the methods of “soft” calculations (SoftCalculation, SoftComputing) and the directions of ComputationalIntelligence — intelligent computing technologies that are emerging on this theoretical and methodological base. An immune - fuzzy algorithm for the synthesis of fuzzy inference systems (FIS) is proposed. A two-stage adaptive FIS synthesis algorithm is described. At the first stage, the initial fuzzy parameters are clustered in order to reduce the number of input parameters of the fuzzy rules, and at the second stage, fuzzy models (inference rules) of the Sugeno type are synthesized.

First Page

66

Last Page

72

References

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Recommended Citation

Muhamediyeva, Dilnoz Tulkunovna and Tulkun, Bekmuratov Fayzievich (2020) "TECHNIQUES TO SOLVE DECISION-MAKING PROBLEMS," Chemical Technology, Control and Management: Vol. 2020: Iss. 1, Article 6.
DOI: https://doi.org/10.34920/2020.1.66-72