Prof. Gia Sirbiladze

Department of Computer Sciences of Iv. Javakhishvili Tbilisi State University

On New Fuzzy Technology of Extreme Processes’ Modeling (overview)

Abstract: The speech presents a new approach to the study of modeling of weakly structured processes by fuzzy dynamic systems (Extremal Fuzzy Dynamic System (EFDS)). Different from other approaches where the source of fuzzy uncertainty in dynamic systems is expert’ s knowledge, this approach considers fuzzy time intervals in which expert reflects evaluations of systems states. This notably widens the area of studied problems. All these is connected to the incomplete, imprecise, anomalous and extremal processes in nature and society, where connections between the system’s objects are weakly structured, which is caused by lack of complete objective information about the evolution of studied processes. This approach may successfully apply, For example, in

1) complex engineering processes;

2) decision making problems in economics and business for extreme environment;

3) emergency management problems in after disaster region (evacuation processes, transportation of humanitarian aid goods, facility location in catastrophe areas, estimation of disease spreading in epidemical regions);

4) research of complex systems of applied physics;

5) conflictology, sociology, medical diagnosis;

6) big data analytics, where big time series are transformed in EFDS; etc.

One of our purposes is to create scenarios describing possible evolution of EFDS using methods of optimization developed by the framework of fuzzy sets theory. This includes construction of algorithms of fuzzy technology simulations of abnormal and extremal processes. Dual (extreme) approach to the research in weakly structured dynamic systems with respect to fuzzy-time is a novelty and does not have analogues today. The extremity of fuzzy processes allows fuzzy-dynamic systems and their prediction to be described by the “extended current and compressed future fuzzy time intervals” in phase-time intervals and thus obtain more reliable information on the expert, his knowledge, the study of EFDS, etc. We thus provide new types of structures for expert knowledge streams in synthesis and analysis problems. Taking into account the control element, for EFDS we construct new fuzzy-integral models. Reliable fuzzy-scenarios are also built for future time-intervals, and these scenarios provide new possibilities for challenging dynamic systems research. The software library representing a new instrument for projecting decision making intellectual systems and expert systems is constructed.

Short CV

Professor Gia Sirbiladze is a leading expert in the field of intelligent simulation modeling, fuzzy decision-making problems in uncertain environments, systems research and engineering and others. He is an author and editor of more than 150 papers and two monographs in expert knowledge engineering and decision-making problems in uncertain environments. His research interest in Computer Science also includes systems science in engineering; fuzzy technologies in decision-making support systems; extreme dynamic systems – control, optimal control, filtration, identification and, prediction; fuzzy discrete optimization problems in management, emergency management problems for the disaster-stricken regions. He has more than 40 years of experience in teaching and research at the Iv. Javakhishvili Tbilisi State University, Georgia. He is a Professor of applied informatics in at the Department of Computer Sciences of Iv. Javakhishvili Tbilisi State University. He is a member of several international societies of computer sciences and engineering: IEEE, IFSR, MCDM and others. He also is a member of an editorial board of various international journals in computer sciences