Adelina Faradian

Work place: Department of Information Science, Ivane Javakhishvili Tbilisi State University, 0177, university str. 2, Tbilisi, Georgia

E-mail: afaradian@gmail.com

Website:

Research Interests: Software Development Process, Software Engineering, Artificial Intelligence, Neural Networks, Network Architecture

Biography

Adelina Faradian is currently working in USAID Health System Strengthening Project (HSSP) like Senior Software Engineer. Received her B.S in Computer Science from Ivane Javakhishvili Tbilisi State University, in 2009 and she is received Mathematical and programming Software Support for Information Systems in M.S at Ivane Javakhishvili Tbilisi State University, in 2011. Her research interests are in the area of fuzzy control systems, fuzzy logic, enterprise systems, artificial intelligence, genetic algorithm, neural network, software development processes and estimation in software engineering. 

Author Articles
Designing a Decision Making Support Infor mation System for the Operational Control of In dustrial Technological Processes

By Adelina Faradian Teimuraz Manjafarashvili Nikoloz Ivanauri

DOI: https://doi.org/10.5815/ijitcs.2015.09.01, Pub. Date: 8 Aug. 2015

Fuzzy logic is a new and innovative technology that was used in order to develop a realization of engineering control. In recent years, fuzzy logic proved its great potential especially applied to automatization of industrial process control, where it enables the control design to be formed based on experience of experts and results of experiments. The projects that have been realized reveal that the application of fuzzy logic in the technological process control has already provided us with better decisions compared to that of standard control technique. Fuzzy logic provides an opportunity to design an advisory system for decision-making based on operator experience and results of experiments not taking a mathematical model as a basis. The present work deals with a specific technological process ─ designing a support decision making information system for the operational control of the lime kiln with the use of fuzzy logic based on creation of the relevant expert-objective knowledge base.

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