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Searching for a consensus similarity function for generalized trapezoidal fuzzy numbers
Citation
Vicente Cestero, Eloy and Mateos Caballero, Alfonso and Jiménez Martín, Antonio (2014). Searching for a consensus similarity function for generalized trapezoidal fuzzy numbers. In: "The 11th International FLINS Conference on Decision Making and Soft Computing (FLINS2014)", 17-20 aug 2014, Joao Pessoa, Brasil. ISBN 978-981-4619-96-7. pp. 252-257.
Description
| Title: | Searching for a consensus similarity function for generalized trapezoidal fuzzy numbers |
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| Author/s: |
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| Item Type: | Presentation at Congress or Conference (Article) |
| Event Title: | The 11th International FLINS Conference on Decision Making and Soft Computing (FLINS2014) |
| Event Dates: | 17-20 aug 2014 |
| Event Location: | Joao Pessoa, Brasil |
| Title of Book: | Decision Making and Soft Computing |
| Date: | 2014 |
| ISBN: | 978-981-4619-96-7 |
| Volume: | 9 |
| Subjects: | |
| Faculty: | E.T.S. de Ingenieros Informáticos (UPM) |
| Department: | Inteligencia Artificial |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
There is controversy regarding the use of the similarity functions proposed in the literature to compare generalized trapezoidal fuzzy numbers since conflicting similarity values are sometimes output for the same pair of fuzzy numbers. In this paper we propose a similarity function aimed at establishing a consensus. It accounts for the different approaches of all the similarity functions. It also has better properties and can easily incorporate new parameters for future improvements. The analysis is carried out on the basis of a large and representative set of pairs of trapezoidal fuzzy numbers.
More information
| Item ID: | 35444 |
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| DC Identifier: | http://oa.upm.es/35444/ |
| OAI Identifier: | oai:oa.upm.es:35444 |
| Official URL: | http://www.worldscientific.com/worldscibooks/10.1142/9303 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 14 Mar 2016 15:35 |
| Last Modified: | 17 Nov 2017 09:05 |
