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Juan Carlos Figueroa García
Juan Carlos Figueroa-García
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2020 – today
- 2024
- [j16]Juan Carlos Figueroa-García
, Roman Neruda
On cosine fuzzy sets and uncertainty quantification. Eng. Appl. Artif. Intell. 138: 109241 (2024) - [j15]Marlon David Arango-Abella, Juan Carlos Figueroa-García:
Classification of Users of a Health Service Provider Using Unsupervised Machine Learning Methods. SN Comput. Sci. 5(5): 543 (2024) - 2023
- [j14]Juan Carlos Figueroa-García, Roman Neruda
A genetic algorithm for multivariate missing data imputation. Inf. Sci. 619: 947-967 (2023) - [j13]Juan Carlos Figueroa-García
On the Variance of Interval Type-2 Fuzzy Sets. IEEE Trans. Fuzzy Syst. 31(7): 2320-2330 (2023) - [c59]Juan Carlos Figueroa García, Roman Neruda, Carlos Franco:
On Truncating Fuzzy Numbers with α-Levels. NAFIPS 2023: 258-267 - [p8]Juan Carlos Figueroa García, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich:
Estimating Skewness and Higher Central Moments of an Interval-Valued Fuzzy Set. Uncertainty, Constraints, and Decision Making 2023: 345-352 - 2022
- [j12]Juan Carlos Figueroa-García
Type-reduction of Interval Type-2 fuzzy numbers via the Chebyshev inequality. Fuzzy Sets Syst. 435: 164-180 (2022) - [c58]Juan Carlos Figueroa García, Roman Neruda
An Experimental Study on Fuzzy Markov Chains Under Mn Generalized Mean Relation. NAFIPS 2022: 63-72 - [c57]Juan Carlos Figueroa García, Jhoan Sebastian Tenjo-García, Jennifer Soraya Ramos-Cuesta:
An Approach to Simulation of Fuzzy Linguistic Variables. NAFIPS 2022: 73-82 - [p7]Juan Carlos Figueroa-García, Carlos Franco, Roman Neruda
An Optimization Model for Location-Allocation of Health Services Under Uncertainty. Computational Intelligence Methodologies Applied to Sustainable Development Goals 2022: 97-108 - [e13]Juan Carlos Figueroa-García
Applied Computer Sciences in Engineering - 9th Workshop on Engineering Applications, WEA 2022, Bogotá, Colombia, November 30 - December 2, 2022, Proceedings. Communications in Computer and Information Science 1685, Springer 2022, ISBN 978-3-031-20610-8 [contents] - 2021
- [j11]Juan Carlos Figueroa García, Vladik Kreinovich:
How Accurate Are Fuzzy Control Recommendations: Interval-Valued Case. Adv. Artif. Intell. Mach. Learn. 1(1): 12-25 (2021) - [j10]Juan Carlos Figueroa-García
Fuzzy Random Variable Generation Using $\alpha$-Cuts. IEEE Trans. Fuzzy Syst. 29(3): 539-548 (2021) - [c56]Alvaro David Orjuela-Cañón, Juan Carlos Figueroa-García, Roman Neruda
Automated Machine Learning Strategies to Damage Identification of Neurofibromatosis Mutations. ICMLA 2021: 1341-1344 - [c55]Juan Carlos Figueroa-García, Carlos Franco, Jhoan Sebastian Tenjo-García:
A Note on the KM Algorithm for Computing the Variance of an Interval Type-2 Fuzzy Set. NAFIPS 2021: 130-140 - [e12]Juan Carlos Figueroa-García
Applied Computer Sciences in Engineering - 8th Workshop on Engineering Applications, WEA 2021, Medellín, Colombia, October 6-8, 2021, Proceedings. Communications in Computer and Information Science 1431, Springer 2021, ISBN 978-3-030-86701-0 [contents] - 2020
- [j9]Heriberto Román-Flores
A note on defuzzification of type-2 fuzzy intervals. Fuzzy Sets Syst. 399: 133-145 (2020) - [j8]Juan Carlos Figueroa-García
Representation of the Minkowski metric as a fuzzy set. Optim. Lett. 14(2): 395-408 (2020) - [c54]Juan Carlos Figueroa-García, Roman Neruda
On the relationship between the centroid and the footprint of uncertainty of Interval Type-2 fuzzy numbers. FUZZ-IEEE 2020: 1-7 - [c53]Juan Carlos Figueroa García, Jhoan Sebastian Tenjo-García:
Solving Capacitated Vehicle Routing Problems with Fuzzy Delivery Costs and Fuzzy Demands. NAFIPS 2020: 83-94 - [c52]Juan Carlos Figueroa García, Carlos Franco:
An Approach for Solving Fully Interval Production Planning Problems. NAFIPS 2020: 267-276 - [c51]Juan Carlos Figueroa García, Christian Servin, Vladik Kreinovich:
Centroids Beyond Defuzzification. NAFIPS 2020: 407-412 - [p6]Juan Carlos Figueroa-García:
A Comparison of Some t-Norms and t-Conorms over the Steady State of a Fuzzy Markov Chain. Decision Making under Constraints 2020: 83-92 - [e11]Juan Carlos Figueroa-García
Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Bogota, Colombia, October 7-9, 2020, Proceedings. Communications in Computer and Information Science 1274, Springer 2020, ISBN 978-3-030-61833-9 [contents]
2010 – 2019
- 2019
- [j7]Juan Carlos Figueroa-García
Optimal solutions for group matrix games involving interval-valued Fuzzy Numbers. Fuzzy Sets Syst. 362: 55-70 (2019) - [c50]Juan Carlos Figueroa-García, Jairo Soriano-Mendez, Miguel Alberto Melgarejo-Rey:
A Note on the Centroid, Yager Index and Sample Mean for Fuzzy Numbers. IFSA/NAFIPS 2019: 99-105 - [c49]Juan Carlos Figueroa-García, Carlos Franco, Vladik Kreinovich:
Fuzzy Approach to Optimal Placement of Health Centers. IFSA/NAFIPS 2019: 793-799 - [c48]Juan Carlos Figueroa-García, Alvaro David Orjuela-Cañón
On the boundaries of the centroid of a class of fuzzy numbers. LA-CCI 2019: 1-5 - [e10]Juan Carlos Figueroa-García, Mario Enrique Duarte González, Sebastián Jaramillo-Isaza, Alvaro D. Orjuela-Cañón, Yesid Díaz Gutiérrez:
Applied Computer Sciences in Engineering - 6th Workshop on Engineering Applications, WEA 2019, Santa Marta, Colombia, October 16-18, 2019, Proceedings. Communications in Computer and Information Science 1052, Springer 2019, ISBN 978-3-030-31018-9 [contents] - 2018
- [j6]Juan Carlos Figueroa García
Yager Index and Ranking for Interval Type-2 Fuzzy Numbers. IEEE Trans. Fuzzy Syst. 26(5): 2709-2718 (2018) - [c47]Camilo Alejandro Bustos-Tellez, Jhoan Sebastian Tenjo-García, Juan Carlos Figueroa-García
Solving Job-Shop Scheduling Problems with Fuzzy Processing Times and Fuzzy Due Dates. IPMU (1) 2018: 790-799 - [c46]Jairo Andres Perdomo-Tovar, Eiber Arley Galindo-Arevalo, Juan Carlos Figueroa-García:
A Comparative Study Among ANFIS, ANNs, and SONFIS for Volatile Time Series. NAFIPS 2018: 253-264 - [c45]Juan Carlos Figueroa-García, Jhoan Sebastian Tenjo-García, Camilo Alejandro Bustos-Tellez:
Solving Transhipment Problems with Fuzzy Delivery Costs and Fuzzy Constraints. NAFIPS 2018: 538-550 - [c44]Vladik Kreinovich
Optimization Under Fuzzy Constraints: From a Heuristic Algorithm to an Algorithm that Always Converges. WEA (1) 2018: 3-16 - [c43]Carlos Franco
A Mathematical Model Under Uncertainty for Optimizing Medicine Logistics in Hospitals. WEA (2) 2018: 53-60 - [c42]Juan Carlos Figueroa-García
A Note About the (x, y) Coordinates of the Centroid of a Fuzzy Set. WEA (1) 2018: 78-88 - [c41]Eduyn López-Santana
A Fuzzy Linear Fractional Programming Approach to Design of Distribution Networks. WEA (1) 2018: 102-113 - [e9]Juan Carlos Figueroa-García, Eduyn Ramiro López-Santana, José Ignacio Rodríguez Molano:
Applied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Medellín, Colombia, October 17-19, 2018, Proceedings, Part I. Communications in Computer and Information Science 915, Springer 2018, ISBN 978-3-030-00349-4 [contents] - [e8]Juan Carlos Figueroa-García, Juan G. Villegas, Juan Rafael Orozco-Arroyave, Pablo Andrés Maya Duque:
Applied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Medellín, Colombia, October 17-19, 2018, Proceedings, Part II. Communications in Computer and Information Science 916, Springer 2018, ISBN 978-3-030-00352-4 [contents] - 2017
- [c40]Christian Alfredo Varón-Gaviria, José Luis Barbosa-Fontecha, Juan Carlos Figueroa-García:
Fuzzy Uncertainty in Random Variable Generation: An α-Cut Approach. ICIC (3) 2017: 264-273 - [c39]Eduyn Ramiro López-Santana
A Fuzzy Inference System to Scheduling Tasks in Queueing Systems. ICIC (3) 2017: 286-297 - [c38]Juan Carlos Figueroa García, Eduyn López-Santana, Carlos Alberto Franco-Franco:
A Three-Step Deep Neural Network Methodology for Exchange Rate Forecasting. ICIC (1) 2017: 786-795 - [c37]Juan Carlos Figueroa-García, Germán Jairo Hernández-Pérez:
Weak and Strong Solutions for Fuzzy Linear Programming Problems. NAFIPS 2017: 382-391 - [c36]Eduyn Ramiro López-Santana
Simulation of Fuzzy Inference System to Task Scheduling in Queueing Networks. WEA 2017: 263-274 - [c35]Juan Carlos Figueroa-García, Eduyn Ramiro López-Santana
A Distance Measure Between Fuzzy Variables. WEA 2017: 378-387 - [c34]Diana Giseth Pulido-López, Mabel García, Juan Carlos Figueroa-García:
Fuzzy Uncertainty in Random Variable Generation: A Cumulative Membership Function Approach. WEA 2017: 398-407 - [c33]Carlos Franco
Solving the Interval Green Inventory Routing Problem Using Optimization and Genetic Algorithms. WEA 2017: 556-564 - [e7]De-Shuang Huang, Kang-Hyun Jo, Juan Carlos Figueroa-García:
Intelligent Computing Theories and Application - 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10362, Springer 2017, ISBN 978-3-319-63311-4 [contents] - [e6]Juan Carlos Figueroa García, Eduyn Ramiro López-Santana
Applied Computer Sciences in Engineering - 4th Workshop on Engineering Applications, WEA 2017, Cartagena, Colombia, September 27-29, 2017, Proceedings. Communications in Computer and Information Science 742, Springer 2017, ISBN 978-3-319-66962-5 [contents] - 2016
- [c32]Juan Carlos Figueroa García, Luis Carlos Giraldo-Arcos, Sandy Katina Salamanca-Rivera:
Quasi Type-2 fuzzy Markov chains: An approach. FUZZ-IEEE 2016: 545-549 - [c31]Juan Carlos Figueroa García, Cesar Amilcar Lopez Bello, Germán Jairo Hernández-Pérez:
Feasibility Analysis for Fuzzy/Crisp Linear Programming Problems. ICIC (3) 2016: 824-833 - [c30]Sandy Katina Salamanca-Rivera, Luis Carlos Giraldo-Arcos, Juan Carlos Figueroa García:
A Simulation Study on Quasi Type-2 Fuzzy Markov Chains. ICIC (3) 2016: 834-845 - [c29]Juan Carlos Figueroa García:
On α-representation of Type-2 fuzzy sets. NAFIPS 2016: 1-6 - [c28]Juan Carlos Figueroa-García, Germán Jairo Hernández-Pérez, Yurilev Chalco-Cano
On Computing the Footprint of Uncertainty of an Interval Type-2 Fuzzy Set as Uncertainty Measure. WEA 2016: 247-257 - [c27]Germán Jairo Hernández-Pérez, Juan Carlos Figueroa-García:
A Note About Sensitivity Analysis for the Soft Constraints Model. WEA 2016: 258-267 - [c26]Jenny Paola León, Juan Carlos Figueroa-García, Héctor A. López-Ospina
A Model for Fuzzy-Cost Travel Distribution Problems Using Entropy Measures. WEA 2016: 268-279 - [e5]Juan Carlos Figueroa-García, Eduyn Ramiro López-Santana, Roberto Ferro Escobar:
Applied Computer Sciences in Engineering - Third Workshop on Engineering Applications, WEA 2016, Bogotá, Colombia, September 21-23, 2016, Revised Selected Papers. Communications in Computer and Information Science 657, Springer 2016, ISBN 978-3-319-50879-5 [contents] - 2015
- [j5]Juan Carlos Figueroa García
Distance measures for Interval Type-2 fuzzy numbers. Discret. Appl. Math. 197: 93-102 (2015) - [j4]Juan Carlos Figueroa García
Rule generation of fuzzy logic systems using a self-organized fuzzy neural network. Neurocomputing 151: 955-962 (2015) - [c25]Juan Carlos Figueroa García, Carlos Eduardo Castro-Cabrera:
On Solving CCR-DEA Problems Involving Type-2 Fuzzy Uncertainty Using Centroid-Based Optimization. ICIC (3) 2015: 187-195 - [c24]Juan S. Patino-Callejas, Krisna Y. Espinosa-Ayala, Juan Carlos Figueroa García:
Type-2 Fuzzy Uncertainty in Goal Programming. FLinAI@IJCAI 2015 - [c23]Juan Carlos Figueroa García, Germán Jairo Hernández-Pérez:
A centroid-based approach for solving linear programming problems with Interval Type-2 Fuzzy technological coefficients. NAFIPS/WConSC 2015: 1-6 - [p5]Juan Carlos Figueroa García, Dusko Kalenatic, Cesar Amilcar Lopez Bello:
Multiple Experts Knowledge in Fuzzy Optimization of Logistic Networks. Intelligent Techniques in Engineering Management 2015: 623-643 - 2014
- [c22]Juan Carlos Figueroa García, Emanuel Jonathan Medina-Pinzón, Jannan David Rubio-Espinosa:
Non-cooperative Games Involving Type-2 Fuzzy Uncertainty: An Approach. CISIM 2014: 387-396 - [c21]Juan Carlos Figueroa García, Iván Darío Jiménez-Medina, Rausses Danilo Rojas-Olaya:
Solving PERT Problems Involving Type-2 Fuzzy Uncertainty: An Approach. TAAI 2014: 136-144 - [p4]Juan Carlos Figueroa García, Germán Jairo Hernández:
Linear Programming with Interval Type-2 Fuzzy Constraints. Constraint Programming and Decision Making 2014: 19-34 - [p3]Juan Carlos Figueroa García, Germán Jairo Hernández:
A Multiple Means Transportation Model with Type-2 Fuzzy Uncertainty. Supply Chain Management Under Fuzziness 2014: 449-468 - 2013
- [c20]Juan Carlos Figueroa García, Cynthia Ochoa-Rey, Jose Alejandro Avellaneda Gonzalez:
A Self-Organized Fuzzy Neural Network Approach for Rule Generation of Fuzzy Logic Systems. ICIC (3) 2013: 25-30 - [c19]Juan Carlos Figueroa García, Germán Jairo Hernández:
Behavior of the Soft Constraints Method Applied to Interval Type-2 Fuzzy Linear Programming Problems. ICIC (2) 2013: 101-109 - [c18]Juan Carlos Figueroa García, Germán Jairo Hernández:
A note on "Solving Fuzzy Linear Programming Problems with Interval Type-2 RHS". IFSA/NAFIPS 2013: 591-594 - [c17]Juan Carlos Figueroa García, Germán Jairo Hernández:
Solving linear programming problems with Interval Type-2 fuzzy constraints using interval optimization. IFSA/NAFIPS 2013: 623-628 - [p2]Juan Carlos Figueroa García, Dusko Kalenatic, Cesar Amilcar Lopez Bello:
Incomplete Time Series: Imputation through Genetic Algorithms. Time Series Analysis, Modeling and Applications 2013: 31-52 - [p1]Juan Carlos Figueroa-García:
Interval Type-2 Fuzzy Markov Chains. Advances in Type-2 Fuzzy Sets and Systems 2013: 49-64 - [e4]De-Shuang Huang, Vitoantonio Bevilacqua
Intelligent Computing Theories - 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings. Lecture Notes in Computer Science 7995, Springer 2013, ISBN 978-3-642-39478-2 [contents] - 2012
- [j3]Juan Carlos Figueroa García, Dusko Kalenatic, Cesar Amilcar Lopez Bello:
Multi-period Mixed Production Planning with uncertain demands: Fuzzy and interval fuzzy sets approach. Fuzzy Sets Syst. 206: 21-38 (2012) - [c16]Jose Alejandro Avellaneda Gonzalez, Cynthia Maria Ochoa-Rey, Juan Carlos Figueroa García:
A Self-Organizing Neural Fuzzy System to forecast the price of Ecopetrol shares. CIFEr 2012: 1-6 - [c15]Juan Carlos Figueroa García:
An approximation method for Type Reduction of an Interval Type-2 Fuzzy Set based on a-cuts. FedCSIS 2012: 49-54 - [c14]Juan Carlos Figueroa García, Germán Jairo Hernández:
Computing Optimal Solutions of a Linear Programming Problem with Interval Type-2 Fuzzy Constraints. HAIS (1) 2012: 567-576 - [c13]Juan Carlos Figueroa García, Germán Jairo Hernández:
A Transportation Model with Interval Type-2 Fuzzy Demands and Supplies. ICIC (1) 2012: 610-617 - [e3]De-Shuang Huang, Yong Gan, Vitoantonio Bevilacqua, Juan Carlos Figueroa García:
Advanced Intelligent Computing - 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011. Revised Selected Papers. Lecture Notes in Computer Science 6838, Springer 2012, ISBN 978-3-642-24727-9 [contents] - [e2]De-Shuang Huang, Changjun Jiang, Vitoantonio Bevilacqua, Juan Carlos Figueroa García:
Intelligent Computing Technology - 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings. Lecture Notes in Computer Science 7389, Springer 2012, ISBN 978-3-642-31587-9 [contents] - 2011
- [j2]Juan Carlos Figueroa García, Dusko Kalenatic, Cesar Amilcar Lopez Bello:
Missing data imputation in multivariate data by evolutionary algorithms. Comput. Hum. Behav. 27(5): 1468-1474 (2011) - [c12]Juan Carlos Figueroa García, Dusko Kalenatic, Cesar Amilcar Lopez Bello:
Interval Type-2 Fuzzy Markov Chains: Type Reduction. ICIC (2) 2011: 211-218 - [c11]Juan Carlos Figueroa García, Jesús Rodríguez-López:
A Linear Regression Model for Nonlinear Fuzzy Data. ICIC (3) 2011: 353-360 - [c10]Juan Carlos Figueroa García:
Interval type-2 fuzzy linear programming: Uncertain constraints. T2FUZZ 2011: 94-101 - 2010
- [j1]Juan Carlos Figueroa García, Dusko Kalenatic, Cesar Amilcar Lopez Bello:
An Evolutionary Approach for Imputing Missing Data in Time Series. J. Circuits Syst. Comput. 19(1): 107-121 (2010) - [c9]Dusko Kalenatic, Juan Carlos Figueroa García, Cesar Amilcar Lopez Bello:
Scalarization of Type-1 Fuzzy Markov Chains. ICIC (1) 2010: 110-117 - [c8]Dusko Kalenatic, Juan Carlos Figueroa García, Cesar Amilcar Lopez Bello:
A Neuro-Evolutive Interval Type-2 TSK Fuzzy System for Volatile Weather Forecasting. ICIC (1) 2010: 142-149 - [c7]Juan Carlos Figueroa García, Leidy Yamile Olarte Ramos, John Fredy Camargo Sanabria:
Linear programming with fuzzy joint parameters: An iterative method. ISDA 2010: 724-729 - [e1]De-Shuang Huang, Zhongming Zhao, Vitoantonio Bevilacqua, Juan Carlos Figueroa García:
Advanced Intelligent Computing Theories and Applications, 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings. Lecture Notes in Computer Science 6215, Springer 2010, ISBN 978-3-642-14921-4 [contents]
2000 – 2009
- 2009
- [c6]Juan Carlos Figueroa García, Dusko Kalenatic, Cesar Amilcar Lopez Bello:
On the Robustness of Type-1 and Type-2 Fuzzy Tests vs. ANOVA Tests on Means. ICIC (2) 2009: 174-183 - [c5]Juan Carlos Figueroa García:
Solving Fuzzy Linear Programming Problems with Interval Type-2 RHS. SMC 2009: 262-267 - [c4]Juan Carlos Figueroa García:
An Evolutive Interval Type-2 TSK Fuzzy Logic System for Volatile Time Series Identification. SMC 2009: 666-671 - 2008
- [c3]Juan Carlos Figueroa García, Dusko Kalenatic, Cesar Amilcar Lopez Bello:
A Simulation Study on Fuzzy Markov Chains. ICIC (3) 2008: 109-117 - [c2]Juan Carlos Figueroa García, Dusko Kalenatic, Cesar Amilcar Lopez Bello:
Missing Data Imputation in Time Series by Evolutionary Algorithms. ICIC (2) 2008: 275-283 - [c1]Juan Carlos Figueroa García, José Jairo Soriano Méndez:
A Fuzzy Logic Approach to Test Statistical Hypothesis on Means. ICIC (2) 2008: 316-325
Coauthor Index
Germán Jairo Hernández
aka: Germán Jairo Hernández-Pérez
aka: Germán Jairo Hernández-Pérez
Eduyn López-Santana
aka: Eduyn Ramiro López-Santana
aka: Eduyn Ramiro López-Santana
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