Interval type–2 fuzzy decision making

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Runkler, Thomas, Coupland, Simon and John, Robert (2017) Interval type–2 fuzzy decision making. International Journal of Approximate Reasoning, 80 . pp. 217-224. ISSN 0888-613X

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Official URL: http://www.sciencedirect.com/science/article/pii/S0888613X16301591

Abstract

This paper concerns itself with decision making under uncertainty and theconsideration of risk. Type-1 fuzzy logic by its (essentially) crisp nature is limited in modelling decision making as there is no uncertainty in the membership function. We are interested in the role that interval type–2 fuzzy sets might play in enhancing decision making. Previous work by Bellman and Zadeh considered decision making to be based on goals and constraint. They deployed type–1 fuzzy sets. This paper extends this notion to interval type–2 fuzzy sets and presents a new approach to using interval type-2 fuzzy sets in a decision making situation taking into account the risk associated with the decision making. The explicit consideration of risk levels increases the

solution space of the decision process and thus enables better decisions. We explain the new approach and provide two examples to show how this new approach works.

Item Type:	Article
RIS ID:	https://nottingham-repository.worktribe.com/output/971080
Keywords:	fuzzy decision making, interval type-2 fuzzy sets
Schools/Departments:	University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number:	10.1016/j.ijar.2016.09.007
Depositing User:	John, Professor Robert
Date Deposited:	14 Sep 2016 13:27
Last Modified:	04 May 2020 19:59
URI:	https://eprints.nottingham.ac.uk/id/eprint/36609

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