TY  - CPAPER
AU  - Santos, Daniel
AU  - Gutiérrez García-Pardo, Inmaculada
AU  - Castro Cantalejo, Javier
AU  - Gómez González, Daniel
AU  - Guevara Gil, Juan Antonio
AU  - Espínola Vílchez, María Rosario
A2  - Kahraman,  Cengiz
A2  - Tolga, A. Cagri
A2  - Onar, Sezi Cevik
A2  - Cebi, Selcuk
A2  - Oztaysi, Basar
A2  - Sari, Irem Ucal
PY  - 2022
DO  - 10.1007/978-3-031-09176-6_7
SN  - 978-303109175-9
SN  - 2367-3370
UR  - https://hdl.handle.net/20.500.14352/104635
AB  - Abstract: In the field of Machine Learning, there is a common point in almost all methodologies about measuring the importance of features in a model: estimating the value of a collection of them in several situations where different information...
LA  - eng
M2  - 62
KW  - Explainable artificial intelligence
KW  - Features importance
KW  - Fuzzy measures
KW  - Machine learning
TI  - Explanation of machine learning classification models with fuzzy measures: an approach to individual classification
TY  - conference paper
ER  -