Jesus Alcala-Fdez

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	전체	2020년 이후
서지정보	9063	3520
h-index	30	22
i10-index	56	33

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Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, Spaindecsai.ugr.es의 이메일 확인됨
Rafael AlcaláFull Professor of Computer Science and Artificial Intelligence, University of Granadadecsai.ugr.es의 이메일 확인됨
Luciano SanchezProfessor of Computer Science, Oviedo Universityuniovi.es의 이메일 확인됨
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.decsai.ugr.es의 이메일 확인됨
María José GactoUniversity of Jaénujaen.es의 이메일 확인됨
José OteroAssociate professor, Computer Science Department, Oviedo Universityuniovi.es의 이메일 확인됨
Joaquin Derrac RusData Scientistgresearch.co.uk의 이메일 확인됨
María José Del Jesus DíazAssociate professor of Computer Science, University of Jaénujaen.es의 이메일 확인됨
Jose Maria Alonso Moral (ORCID: 000...Research Center on Intelligent Technologies (CITIUS) of University of Santiago de Compostela (USC)usc.es의 이메일 확인됨
Alberto Fernández HilarioFull Professor of Computer Science and Artificial Intelligence, University of Granadadecsai.ugr.es의 이메일 확인됨
Diana Martín RodríguezUniversidad Tecnológica de la Habana, CUJAEceis.cujae.edu.cu의 이메일 확인됨
Sebastián Ventura (ORCID: 0000-000...Professor of Computing and Artificial Intelligence, University of Cordoba (RoR:05yc77b46)uco.es의 이메일 확인됨
Oscar CordónProfessor, IEEE-IFSA Fellow, Natl. Computer Science Award. DaSCI Research Institute & DECSAI, UGRdecsai.ugr.es의 이메일 확인됨
Julián Luengo MartínAssociate Professor at University of Granadadecsai.ugr.es의 이메일 확인됨
Jorge CasillasFull Professor of Computer Science and Artificial Intelligence, University of Granadadecsai.ugr.es의 이메일 확인됨
Jose Manuel Soto HidalgoProfessor at University of Granadaugr.es의 이메일 확인됨
Alejandro Rosete SuárezUniversidad Tecnológica de La Habana "José Antonio Echevería", CUJAEceis.cujae.edu.cu의 이메일 확인됨
Cristóbal Romero (ORCID: 0000-0003...Full Professor in University of Cordoba and member of KDIS Research Groupuco.es의 이메일 확인됨
Jaume BacarditProfessor of Artificial Intelligence, Newcastle Universitynewcastle.ac.uk의 이메일 확인됨
Sergio González VázquezPhD on Information & Communications Technology. Department of Computer Science and Artificialdecsai.ugr.es의 이메일 확인됨

팔로우

Jesus Alcala-Fdez

Full Professor of Computer Science and Artificial Intelligence, University of Granada

decsai.ugr.es의 이메일 확인됨 - 홈페이지

Association rules Evolutionary fuzzy systems Multiobjective learning Data Mining Software


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework J Alcala-Fdez, A Fernández, J Luengo, J Derrac, S García, L Sánchez, ... Journal of Multiple-Valued Logic and Soft Computing 17, 255-287, 2011	3033*	2011
KEEL: a software tool to assess evolutionary algorithms for data mining problems J Alcalá-Fdez, L Sanchez, S Garcia, MJ del Jesus, S Ventura, JM Garrell, ... Soft Computing 13, 307-318, 2009	1743	2009
A fuzzy association rule-based classification model for high-dimensional problems with genetic rule selection and lateral tuning J Alcalá-Fdez, R Alcala, F Herrera IEEE Transactions on Fuzzy systems 19 (5), 857-872, 2011	453	2011
A consistency‐based procedure to estimate missing pairwise preference values S Alonso, F Chiclana, F Herrera, E Herrera‐Viedma, J Alcalá‐Fdez, ... International journal of intelligent systems 23 (2), 155-175, 2008	334	2008
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining I Triguero, S González, JM Moyano, S García, J Alcala-Fdez, J Luengo, ... International Journal of Computational Intelligence Systems 10, 1238-1249, 2017	296	2017
jFuzzyLogic: a java library to design fuzzy logic controllers according to the standard for fuzzy control programming P Cingolani, J Alcalá-Fdez International Journal of Computational Intelligence Systems 6 (sup1), 61-75, 2013	248	2013
jFuzzyLogic: a robust and flexible Fuzzy-Logic inference system language implementation P Cingolani, J Alcala-Fdez 2012 IEEE International Conference on Fuzzy Systems, 1-8, 2012	237	2012
A proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection R Alcalá, J Alcalá-Fdez, F Herrera Fuzzy Systems, IEEE Transactions on 15 (4), 616-635, 2007	236	2007
Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms J Alcalá-Fdez, R Alcalá, MJ Gacto, F Herrera Fuzzy Sets and Systems 160 (7), 905-921, 2009	230	2009
A multi-objective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems R Alcalá, MJ Gacto, F Herrera, J Alcalá-Fdez International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2007	158	2007
Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation R Alcalá, J Alcalá-Fdez, F Herrera, J Otero International Journal of Approximate Reasoning 44 (1), 45-64, 2007	152	2007
A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends and Prospects J Alcalá-Fdez, JM Alonso IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2015.2426212, 24 (1 …, 2016	141	2016
A new multiobjective evolutionary algorithm for mining a reduced set of interesting positive and negative quantitative association rules D Martin, A Rosete, J Alcalá-Fdez, F Herrera IEEE transactions on evolutionary computation 18 (1), 54-69, 2013	126	2013
Hybrid learning models to get the interpretability–accuracy trade-off in fuzzy modeling R Alcalá, J Alcalá-Fdez, J Casillas, O Cordón, F Herrera Soft Computing 10, 717-734, 2006	119	2006
NICGAR: a Niching Genetic Algorithm to Mine a Diverse Set of Interesting Quantitative Association Rules D Martín, J Alcalá-Fdez, A Rosete, F Herrera Information Sciences, DOI: 10.1016/j.ins.2016.03.039 355356, 208-228, 2016	93	2016
QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules D Martín, A Rosete, J Alcalá-Fdez, F Herrera Information Sciences 258, 1-28, 2014	92	2014
Local identification of prototypes for genetic learning of accurate TSK fuzzy rule‐based systems R Alcalá, J Alcalá‐Fdez, J Casillas, O Cordón, F Herrera International Journal of Intelligent Systems 22 (9), 909-941, 2007	80	2007
Rule base reduction and genetic tuning of fuzzy systems based on the linguistic 3-tuples representation R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera Soft Computing 11 (5), 401-419, 2007	76	2007
Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera Applied Intelligence 31, 15-30, 2009	70	2009
Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems J Alcalá‐Fdez, F Herrera, F Márquez, A Peregrín International Journal of Intelligent Systems 22 (9), 1035-1064, 2007	70	2007

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