Developing a Decision-Making Support Information System for the Operational Control of Industrial Technological Processes

Authors

  • Adelina Ahadova Department of Information Science, Ivane Javakhishvili Tbilisi State University, 0177, University Str. 2, Tbilisi, Georgia.

DOI:

https://doi.org/10.9734/bpi/ramrcs/v7/4200F

Keywords:

Fuzzy logic, information systems, lime kiln, knowledge base, expert knowledge, linguistic variables, fuzzy rules

Abstract

Fuzzy logic is a new and innovative technique that was used to develop an engineering control realization. In recent years, fuzzy logic has demonstrated its immense promise, particularly in the automation of industrial process control, where it allows the control design to be developed based on expert experience and experimental results. The projects that have been completed show that using fuzzy logic in technical process control has already resulted in better decisions than using standard control techniques. Fuzzy logic allows for the creation of an advisory system for decision-making that is based on operator experience and experiment results rather than a mathematical model. The current research focuses on a specific technological process: developing a support decision-making information system for the operational control of a lime kiln using fuzzy logic and a related expert-objective knowledge base.

Published

2022-01-24

How to Cite

Adelina Ahadova. (2022). Developing a Decision-Making Support Information System for the Operational Control of Industrial Technological Processes. Recent Advances in Mathematical Research and Computer Science Vol. 7, 23–33. https://doi.org/10.9734/bpi/ramrcs/v7/4200F