Faculty of Technical Sciences

Subject: Intelligent Systems for Decision Support (17.IM1117)

Native organizations units: Department of Industrial Engineering and Engineering Management, Chair of Mechatronics, Robotics and Automation
General information:
 
Category Professional-applicative
Scientific or art field
  • Information-Communication Systems
  • Proizvodni i uslužni sistemi, organizacija i menadžment
ECTS 4

The objective of the course is to master the basic knowledge in the field of intelligent decision support systems that enable the student to independently carry out engineering analysis of the data when predicting and deciding. The objective of the course is that B.Sc. in Industrial Engineering and Management acquires competencies for the application of advance statistics and computer intelligence techniques in the problems of forecasting and decision making in production and service systems.

Students will be capable for research and development of intelligent decision support systems in order to predict events for the purpose of improving system performance. B.Sc. in Engineering and Management acquires competencies for the development and application of intelligent systems in forecasting and decision-making.

Introduction. Computer support for decision making. Decision support systems. Spatial systems for decision support. Intelligent decision support systems. How to computers think more like humans? Fuzzy inference systems. Hybrid Intelligent Systems. Recommender, Advisory and Expert Systems and Their Integration with Decision Support Systems. Successful and unsuccessful examples of intelligent decision support systems. Benefits from intelligent decision support systems.

Teaching on the course includes lectures and exercises with examples of intelligent decision support systems. During the semester the student is obliged to do a project where he will apply the acquired knowledge in the field of intelligent decision support systems. The entire exercise takes place with the help of computers and sophisticated software.

Authors Title Year Publisher Language
Gupta, J.N.D., Forgionne, G. A., Mora, M. T. Intelligent Decision-making Support Systems 2006 Springer English
Kumar, A., Ajith, S., Siarry, A. P., Sheng, M. Intelligent Decision Support Systems for Sustainable Computing 2017 Springer English
Arturas Kaklauska Biometric and Intelligent Decision Making Support 2015 Springer English
Sugumaran, R., DeGroote., J. Spatial Decision Support Systems 2011 CRC Press, Taylor & Francis Group English
Course activity Pre-examination Obligations Number of points
Written part of the exam - tasks and theory No Yes 50.00
Exercise attendance Yes Yes 5.00
Project Yes Yes 40.00
Lecture attendance Yes Yes 5.00
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Assoc. Prof. Rikalović Aleksandar

Associate Professor

Lectures

Assistant - Master Perić Aleksandra

Assistant - Master

Computational classes

Faculty of Technical Sciences

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© 2024. Faculty of Technical Sciences.