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Intelligent Expert Decision Support Systems: Methodologies, Applications, and Challenges

Intelligent Expert Decision Support Systems: Methodologies, Applications, and Challenges

Abdel-Badeeh M. Salem, Tetiana Shmelova
Copyright: © 2018 |Pages: 28
ISBN13: 9781522531081|ISBN10: 1522531084|EISBN13: 9781522531098
DOI: 10.4018/978-1-5225-3108-1.ch007
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MLA

Tetiana Shmelova, et al. "Intelligent Expert Decision Support Systems: Methodologies, Applications, and Challenges." Socio-Technical Decision Support in Air Navigation Systems: Emerging Research and Opportunities, IGI Global, 2018, pp.215-242. https://doi.org/10.4018/978-1-5225-3108-1.ch007

APA

T. Shmelova, Y. Sikirda, N. Rizun, A. Salem, & Y. Kovalyov (2018). Intelligent Expert Decision Support Systems: Methodologies, Applications, and Challenges. IGI Global. https://doi.org/10.4018/978-1-5225-3108-1.ch007

Chicago

Tetiana Shmelova, et al. "Intelligent Expert Decision Support Systems: Methodologies, Applications, and Challenges." In Socio-Technical Decision Support in Air Navigation Systems: Emerging Research and Opportunities. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3108-1.ch007

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Abstract

In this chapter, the authors present Intelligent Expert Decision Support Systems (IEDSSs) technology and conceptual models of Expert systems(ES) for Human-Operator (H-O) of different areas and Air Navigation System (ANS) too. The authors demonstrate some interesting applications of IEDSS. Intelligent Expert Decision Support Systems technology is a challenging field that has witnessed great advances in the last few years. Artificial intelligence (AI) theories and approaches receive increasing attention within this emerging technology .Researchers have been used the AI concepts and theories to develop a robust generation of IEDSSs. Moreover, the convergence of AI technologies and web technologies (WT) is enabling the creation of a new generation of web-based IEDSSs for all domains and tasks. This chapter discusses the AI methodologies and techniques for developing the IEDSSs. Two most popular paradigms are discussed namely; case-based reasoning and ontological engineering. Moreover, the chapter addresses the challenges faced by the application developers and knowledge engineers in developing and deploying AI-based expert decision support systems. In addition, the chapter presents some examples of ES by the author and colleagues at National Aviation University, Ukraine and some cases of IEDSSs developed by the author and his colleagues at Artificial intelligence and Knowledge Engineering Research Labs, Ain Shams University, AIKE Labs-ASU, Cairo, Egypt.

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