Interval type–2 fuzzy decision making

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

[img] PDF - Repository staff only until 23 September 2017. - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Available under Licence Creative Commons Attribution Non-commercial No Derivatives.
Download (307kB)

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
Keywords: fuzzy decision making, interval type-2 fuzzy sets
Schools/Departments: University of Nottingham UK Campus > Faculty of Science > School of Computer Science
Identification Number: https://doi.org/10.1016/j.ijar.2016.09.007
Depositing User: John, Professor Robert
Date Deposited: 14 Sep 2016 13:27
Last Modified: 12 Oct 2016 00:36
URI: http://eprints.nottingham.ac.uk/id/eprint/36609

Actions (Archive Staff Only)

Edit View Edit View