Abstract
This paper provides a detailed description of the sources of uncertainties in rule-based decision-making approaches. An investigation into different rule-based decision support models under uncertainty is conducted. In addition, constructive criticism of available rule-based decision support frameworks in terms of uncertainty handling capacity is outlined. All the possible sources of uncertainties at different stages of the decision-making process are examined. The paper also represents the impacts of uncertainties on rule-based decision-making processes. The impacts of different types of uncertainties over the solution of a decision problem are evaluated in terms of its severity. Finally, a very straightforward direction to future research opportunities is provided through a deep analysis of the existing research gaps.
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Zahid Hasan, M., Hossain, S., Uddin, M.S., Islam, M.S. (2020). Sources and Impact of Uncertainty on Rule-Based Decision-Making Approaches. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-3607-6_24
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DOI: https://doi.org/10.1007/978-981-15-3607-6_24
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