Call for Papers – Decision Making in Complex Systems: Intelligent Computing

Focusing on intelligent computing applications, this is Part 1 of the PeerJ Computer Science Special Issue series on Decision Making in Complex Systems


“This research topic nudges academics to focus more on the enormous discrepancy between conventional knowledge engineering and knowledge representation.” Professor Prasenjit Chatterjee, MCKV Institute of Engineering

In the last few years, there has been a growing interest in data-driven decision-making and intelligent computing which aims to integrate techniques from computer science, operations research, applied mathematics, and statistics to address complex problems. In today’s modern conditions of functioning complex systems in different areas, adequate decision-making is a need from one side and a challenge from the other. It is necessary to constantly consider complex problems and evaluate variant solutions in order to achieve greater efficiency and sustainability of complex systems. Simultaneously, one of the most challenging issues for such complex systems is to effectively handle real-world uncertainties that cannot be eliminated. These uncertainties include various types of information that are incomplete, imprecise, and vague. Therefore, to obtain valuable information within the data, one must use a variety of innovative analytical methods, such as computational intelligent techniques, decision trees, expert systems, fuzzy set, machine learning, multi-criteria decision making, neutrosophic set, neural networks, optimization rough set, support vector machines and simulation to name a few. Data are everywhere and continuing to grow massively, which has created a huge demand for qualified experts who can uncover valuable insights from these data. As the study of data has become more popular, there is an urgent demand for research on high-level computational intelligence and computing services for analyzing this significant area. Real-world decision systems require consideration and analysis of multiple criteria that affect final decisions.

“Intelligent decision-making is a prerequisite for achieving progress in science and economy.” Željko Stević, Assistant Professor, University of East Sarajevo

This Special Issue aims to promote original research in the area of complex systems with a focus on the studies on intelligent computing and decision-making. This Special Issue, therefore, solicits high-quality original research and literature review articles that cover novel, cutting-edge technologies, and the applications concerned.

“Intelligent tools for sustainable decision-making can support the mitigation of global climate changes.” Vladimir Simic, Associate Professor, University of Belgrade

To find out more and submit your abstract, please visit: peerj.com/special-issues/123-complex-systems-ic

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