Perfil

Gacto Colorado,   Mª José

María José Gacto received the M.Sc. and Ph.D. degrees, both in computer science from the University of Granada, Granada, Spain, in 1999 and 2010, respectively. She is currently an Assistant Professor with the Department of Computer Science, University of Jaén, where she is a member of the Intelligent Systems and Data Mining Research Group, Department of Computer Science, University of Jaén, Jaén, Spain. She has more than 30 international publications. She has worked on several research projects supported by the Spanish Government and the European Union. Her current research interests include, multiobjective genetic algorithms and genetic fuzzy systems, particularly the learning/tuning of fuzzy systems for modeling and control with a good tradeoff between accuracy and interpretability.

ID ORCID: 0000-0001-9895-9647

Publicaciones

learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy

JOURNAL_ARTICLE

doi   10.1016/j.fss.2023.03.014

eid  

2023

transparent but accurate evolutionary regression combining new linguistic fuzzy grammar and a novel interpretable linear extension

JOURNAL_ARTICLE

doi   10.1007/s40815-022-01324-w

eid  

2022

an internet of things and fuzzy markup language based approach to prevent the risk of falling object accidents in the execution phase of construction projects

JOURNAL_ARTICLE

doi   10.3390/s21196461

eid  

2021

temporal association rule mining: an overview considering the time variable as an integral or implied component

JOURNAL_ARTICLE

doi   10.1002/widm.1367

eid  

2020

Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems

JOURNAL_ARTICLE

doi   10.1109/access.2019.2933261

eid   2169-3536

2019

Comparison and design of interpretable linguistic vs. scatter FRBSs: GM3M generalization and new rule meaning index for global assessment and local pseudo-linguistic representation

JOURNAL_ARTICLE

doi   10.1016/j.ins.2014.05.023

eid   WOS:000340979000011

2014

METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems

JOURNAL_ARTICLE

doi   10.1016/j.ins.2014.02.047

eid   WOS:000337647300006

2014

Obtaining Accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in High-Dimensional Regression Problems

JOURNAL_ARTICLE

doi   WOS:000335342800083

eid  

2013

Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD

JOURNAL_ARTICLE

doi   10.1080/18756891.2012.685323

eid   WOS:000303573600009

2012

Mining fuzzy association rules from low-quality data

JOURNAL_ARTICLE

doi   10.1007/s00500-011-0775-3

eid   WOS:000302414800012

2012

A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems

JOURNAL_ARTICLE

doi   10.1007/s10489-010-0264-x

eid   WOS:000300657400006

2012

Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems

JOURNAL_ARTICLE

doi   10.1080/18756891.2012.685327

eid   WOS:000303573600010

2012

Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures

JOURNAL_ARTICLE

doi   10.1016/j.ins.2011.02.021

eid   WOS:000293548900002

2011

A Fast and Scalable Multiobjective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems

JOURNAL_ARTICLE

doi   10.1109/TFUZZ.2011.2131657

eid   WOS:000293750700005

2011

Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means of a Multi-Objective Evolutionary Algorithm

JOURNAL_ARTICLE

doi   WOS:000281604400025

eid  

2010

Integration of an Index to Preserve the Semantic Interpretability in the Multiobjective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems

JOURNAL_ARTICLE

doi   10.1109/TFUZZ.2010.2041008

eid   WOS:000278538000007

2010

Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm

JOURNAL_ARTICLE

doi   10.1109/ISDA.2009.214

eid   WOS:000288405800019

2009

Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems

JOURNAL_ARTICLE

doi   10.1007/s10489-007-0107-6

eid   WOS:000267824000002

2009

A Multi-objective Evolutionary Algorithm for Tuning Fuzzy Rule-Based Systems with Measures for Preserving Interpretability

JOURNAL_ARTICLE

doi   WOS:000279170600200

eid  

2009

Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems

JOURNAL_ARTICLE

doi   10.1007/s00500-008-0359-z

eid   WOS:000261954000002

2009

Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms

JOURNAL_ARTICLE

doi   10.1016/j.fss.2008.05.012

eid   WOS:000264362700003

2009

Genetic learning of membership functions for mining fuzzy association rules

JOURNAL_ARTICLE

doi   WOS:000252371500266

eid  

2007

A multi-objective evolutionary algorithm for rule selection and tuning on fuzzy rule-based systems

JOURNAL_ARTICLE

doi   WOS:000252371500237

eid  

2007

A multi-objective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems

JOURNAL_ARTICLE

doi   10.1142/S0218488507004868

eid   WOS:000251426900003

2007

Rule base reduction and genetic tuning of fuzzy systems based on the linguistic 3-tuples representation

JOURNAL_ARTICLE

doi   10.1007/s00500-006-0106-2

eid   WOS:000242970500002

2007

Fuzzy rule reduction and tuning of fuzzy logic controllers for a HVAC system

JOURNAL_ARTICLE

doi   CCC:000240491700003

eid  

2006

Improving fuzzy rule-based decision models by means of a genetic 2-tuples based tuning and the rule selection

BOOK_CHAPTER

doi   WOS:000237084600031

eid  

2006

A genetic-programming-based approach for the learning of compact fuzzy rule-based classification systems

JOURNAL_ARTICLE

doi   WOS:000239600000020

eid  

2006

Genetic lateral and amplitude tuning with rule selection for fuzzy control of heating, ventilating and air conditioning systems

BOOK_CHAPTER

doi   WOS:000239623800049

eid  

2006