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Designing a Decision Making Support Information System for the Operational Control of Industrial Technological Processes
Author(s) -
Adelina Faradian,
Teimuraz Manjafarashvili,
Nikoloz Ivanauri
Publication year - 2015
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2015.09.01
Subject(s) - computer science , fuzzy logic , process (computing) , expert system , realization (probability) , fuzzy electronics , knowledge base , fuzzy control system , control (management) , systems engineering , industrial engineering , artificial intelligence , fuzzy set operations , engineering , mathematics , statistics , operating system
Fuzzy logic is a new and innovative technology\udthat was used in order to develop a realization of engineering\udcontrol. In recent years, fuzzy logic proved its\udgreat potential especially applied to automatization of\udindustrial process control, where it enables the control\uddesign to be formed based on experience of experts and\udresults of experiments. The projects that have been realized\udreveal that the application of fuzzy logic in the technological\udprocess control has already provided us with\udbetter decisions compared to that of standard control\udtechnique. Fuzzy logic provides an opportunity to design\udan advisory system for decision-making based on operator\udexperience and results of experiments not taking a\udmathematical model as a basis. The present work deals\udwith a specific technological process ─ designing a support\uddecision making information system for the operational\udcontrol of the lime kiln with the use of fuzzy logic\udbased on creation of the relevant expert-objective\udknowledge base

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