Rzayev Ramin Rza – Institute of Control Systems

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Place of Birth	Azerbaijan Republic, Sumgayit
Date of Birth	19.09.1961
Education	Baku State University
Scientific degree	Doctor of Engineering
Title	Professor
Topic of PhD thesis: - speciality code - speciality name - topic name	01.01.01 Mathematical analysis Approximation of functions by polynomials in the continuums of the complex plane
Topic of doctoral thesis: - speciality code - speciality name - topic name	3338.01 System analysis, management and information processing Methods and means of adaptive decision support in the conditions of uncertainty (in the study of economic processes and events)
Election of corresponding member of ANAS: - date - speciality name
Election of active member of ANAS: - date - specialty name
Total number of scientific publications	132
Number of scientific publications printed abroad	68
- number of papers published in journals indexed and abstracted in international databases
Certificates of authorship and number of patents
Staff training: - number of PhD - number of Doctors	5 -
Main scientific achievements:	A new model of fuzzy forecasting of ill-structured time series has been developed, and its advantage has been proved over other well-known corresponding models based on the criteria of statistical measurement (MSE - mean-square error, and MAPE - mean absolute percentage error). Development of fundamentally new methods of fuzzification and defuzzification for fuzzy modeling and prediction of ill-structured time series. Development of a modular intelligent system for evaluating and managing the quality of telecommunication services. Development of an appropriate method for eliminating the existing semantic uncertainty in the valuation concepts of procedural law. Development of fundamentally new methods of fuzzification and defuzzification for fuzzy modeling and prediction of poorly structured time series. (Rzayev R.R., Shikhalieva N.M.) Development of a modular intelligent system for evaluating and managing the quality of telecommunication services. Development of an appropriate method to eliminate the existing semantic uncertainty in the valuation concepts of procedural law. New neuro-fuzzy methods for modeling ill-structured time series have been developed, which allow obtaining much more accurate forecast data than existing forecasting models. New principles of constructing a modular intelligent system for assessing the quality of communication services based on the use of a fuzzy output system based on neural network logic have been formulated, and a implementation mechanism (including the corresponding algorithm) has been developed. An intelligent information system has been developed for integrated assessment and monitoring of the financial stability of commercial banks using various fuzzy analysis methods.
Names of scientific works:	1. Modifying a Fuzzy Time Series Models based on Point-Estimate of Fuzzy Outputs, 2013 2. Моделирование временных рядов на основе нечёткого анализа данных, 2014 3. Интеллектуальная система оценки качества телекоммуникационных услуг, 2014 4. Fuzzy Approach to Overcoming of Semantic Uncertainty in Criterion Concepts of a Procedural Law, 2014 5. Моделирование временных рядов на основе нечеткого анализа позиционно-бинарных составляющих исторических данных, 2015 [spoiler=Bütün elmi əsərlərin siyahısı] 6. One Approach to the Assessment of Bilingual Education 7. Подход к оценке конкурентоспособности высших учебных заведений, 2015 8. Информационная система поддержки принятия процессуальных решений, 2016[/spoiler]
Membership with international and foreign scientific organizations:
Pedagogical activities	He has been teaching at universities since 1986 (teaching experience of 30 years). Currently, 0.5 fte Associate Professor at the Department of Computer Systems and Networks of Azerbaijan Technical University, hourly at the Department of Information Technologies and Programming at Baku State University
Other activities:
Awarding and prizes	2015 – Certificate of merit of ANAS
Place of work and its address	Institute of Control Systems of ANAS, 9 B. Vahabzade, Baku, AZ1141, Azerbaijan
Position	Principal researcher
Office phone	(+994 12) 5394807
Mobil	(+994 50) 8777206, (+994 55) 7777506
Fax	(+994 12) 5392826
E-mail	[email protected]
Web-site