Interval type–2 fuzzy decision making
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...
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| Format: | Article |
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Elsevier
2017
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| Online Access: | https://eprints.nottingham.ac.uk/36609/ |
| _version_ | 1848795314823102464 |
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| author | Runkler, Thomas Coupland, Simon John, Robert |
| author_facet | Runkler, Thomas Coupland, Simon John, Robert |
| author_sort | Runkler, Thomas |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:30:07Z |
| format | Article |
| id | nottingham-36609 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:30:07Z |
| publishDate | 2017 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-366092020-05-04T19:59:09Z https://eprints.nottingham.ac.uk/36609/ Interval type–2 fuzzy decision making Runkler, Thomas Coupland, Simon John, Robert 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. Elsevier 2017-01 Article PeerReviewed 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 fuzzy decision making interval type-2 fuzzy sets http://www.sciencedirect.com/science/article/pii/S0888613X16301591 doi:10.1016/j.ijar.2016.09.007 doi:10.1016/j.ijar.2016.09.007 |
| spellingShingle | fuzzy decision making interval type-2 fuzzy sets Runkler, Thomas Coupland, Simon John, Robert Interval type–2 fuzzy decision making |
| title | Interval type–2 fuzzy decision making |
| title_full | Interval type–2 fuzzy decision making |
| title_fullStr | Interval type–2 fuzzy decision making |
| title_full_unstemmed | Interval type–2 fuzzy decision making |
| title_short | Interval type–2 fuzzy decision making |
| title_sort | interval type–2 fuzzy decision making |
| topic | fuzzy decision making interval type-2 fuzzy sets |
| url | https://eprints.nottingham.ac.uk/36609/ https://eprints.nottingham.ac.uk/36609/ https://eprints.nottingham.ac.uk/36609/ |