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A hierarchical perspective to fuzzy inductive reasoning: an attempt to obtain more understandable fuzzy inductive reasoning rules

Autor
Bagherpour, S.; Mugica, F.; Nebot, M.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
IEEE International Conference on Fuzzy Systems 2015
Any de l'edició
2015
Data de presentació
2015-08-04
Llibre d'actes
2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), August 2-5, 2015 Istanbul, Turkey
Pàgina inicial
1
Pàgina final
8
DOI
https://doi.org/10.1109/FUZZ-IEEE.2015.7338067 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/82363 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7338067 Obrir en finestra nova
Resum
Generalizing hypotheses based on the past data in order to predict the future is the essential core of human learning. Various successful methods and techniques have been developed so far that perform some sort of classification of current data in order to predict future unseen cases. Multi class classification problems are among them as well. In many domains in spite of these automatic techniques, involvement of human experts is crucial. In this paper we are proposing a Hierarchical perspective...
Citació
Bagherpour, S., Mugica, F., Nebot, M. A hierarchical perspective to fuzzy inductive reasoning: an attempt to obtain more understandable fuzzy inductive reasoning rules. A: IEEE International Conference on Fuzzy Systems. "2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), August 2-5, 2015 Istanbul, Turkey". Estambul: 2015, p. 1-8.
Paraules clau
Classification, Decision Making, Fuzzy Inductive Reasoning, Hierarchical Fuzzy Inductive Reasoning
Grup de recerca
SOCO - Soft Computing

Participants