A Review on Methods to Handle Uncertainty

Sonika Malik and Sarika Jain ()
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Sonika Malik: Maharaja Surajmal Institute of Technology
Sarika Jain: National Institute of Technology, Kurukshetra

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 773-781 from Springer

Abstract: Abstract Uncertainty is almost part of every field of scientific readings and it conveys our life processes. Uncertainty can be due to many reasons like incomplete information, ambiguity, lack of knowledge and no specific information on a specific topic. Broadly two categories of uncertainty have been defined, namely, aleatory uncertainty and epistemic uncertainty. Aleatory uncertainty arises due to natural reasons and randomness like random show of a flipped coin, while, epistemic uncertainty is the result of lack of knowledge on a subject like calculating distance between two places. Also, Different methods have been designed to handle different kind of uncertainty. This paper analyses handling of uncertainty activities belonging to multiple disciplines in diverse fields. Different uncertainty handling studies related to fields of engineering, economics, ecology and information sciences have also been explained. Hopefully this study will provide understanding to public on how uncertainty is handled in other disciplines and what are the challenges and issues faced by them. It will also give and instigate database researchers to create better data management tools and techniques to resolve many uncertainty issues in today’s world.

Keywords: Uncertainty; Probability theory; Fuzzy theory; Bayesian Network; Soft computing Technique (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_77

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DOI: 10.1007/978-3-030-41862-5_77

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