On the influence of admissible orders in IVOVO
Date
2019
Director
Publisher
Springer
Acceso abierto / Sarbide irekia
Contribución a congreso / Biltzarrerako ekarpena
Versión aceptada / Onetsi den bertsioa
Project identifier
- ES/1PE/TIN2016-77356-P/
Impacto
Abstract
It is known that when dealing with interval-valued data, there exist problems associated with the non-existence of a total order. In this work we investigate a reformulation of an interval-valued decomposition strategy for multi-class problems called IVOVO, and we analyze the effectiveness of considering different admissible orders in the aggregation phase of IVOVO. We demonstrate that the choice of an appropriate admissible order allows the method to obtain significant differences in terms of accuracy.
Description
Trabajo presentado a la 14th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2019. León (España), 2019
Keywords
Multi-class classification problems, One-vs-one strategy, Interval-valued fuzzy sets, Admissible order
Department
Estatistika, Informatika eta Matematika / Institute of Smart Cities - ISC / Estadística, Informática y Matemáticas
Faculty/School
Degree
Doctorate program
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