2019 (33 papers)

• Acampora, G., Alcala-Fdez, J., Siciliano, R., Soto-Hidalgo, J.M., Vitiello, A. VisualJFML: A Visual Environment for Designing Fuzzy Systems according to IEEE Std 1855-2016. 2019 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE), New Orleans, USA, JUN 23-26, 2019, DOI:10.1109/FUZZ-IEEE.2019.8858810
• Al-Greer, M., Armstrong, M., Pickert, V. Selecting appropriate fuzzy PID control structure for power electronic applications. Journal Of Engineering, 17 (2019) 4457-4460. DOI:10.1049/joe.2018.8013
• Alcala-Fdez, J., Alonso, J.M., Castiello, C., Mencar, C., Soto-Hidalgo, J.M. Py4JFML: A Python wrapper for using the IEEE Std 1855-2016 through JFML. 2019 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE), New Orleans, USA, JUN 23-26, 2019, DOI:10.1109/FUZZ-IEEE.2019.8858811
• Alonso, J.M., Bugarin, A. ExpliClas: Automatic Generation of Explanations in Natural Language for Weka Classifiers. 2019 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE), New Orleans, USA, JUN 23-26, 2019, DOI:10.1109/FUZZ-IEEE.2019.8859018
• Almendros-Jimenez, J.M., Becerra-Teron, A., Moreno, G., Riaza, J.A. Tuning Fuzzy SPARQL Queries in a Fuzzy Logic Programming Environment. 2019 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE), New Orleans, USA, JUN 23-26, 2019, DOI:10.1109/FUZZ-IEEE.2019.8858958
• Basar, Ayfer. A Novel Methodology For Time Planning Of Resource-Constrained Software Projects With Hesitant Fuzzy Durations: A Case Study. International Journal Of Industrial Engineering-theory Applications And Practice, 26: (2019) 471-485.
• Briceno, Leyde. Paul, Gunther. MakeHuman: A Review of the Modelling Framework. Proceedings Of The 20th Congress Of The International Ergonomics Association (iea 2018), Vol V: Human Simulation And Virtual Environments, Work With Computing Systems (wwcs), Process Control, 822: pp.224-232, Florence, ITALY, AUG 26-30, 2018 DOI:10.1007/978-3-319-96077-7_23
• Chatterjee, S., Maji, B., Hoang, P. A fuzzy rule-based generation algorithm in interval type-2 fuzzy logic system for fault prediction in the early phase of software development. Journal Of Experimental & Theoretical Artificial Intelligence, 31 (2019) 369-391. DOI:10.1080/0952813X.2018.1552315
• Cocana-Fernandez, A., San Jose, E., Ranilla, J., Sanchez, L. Improving EECluster to optimize the carbon footprint and operating costs of HPC clusters. 2019 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE), New Orleans, USA, JUN 23-26, 2019, DOI:10.1109/FUZZ-IEEE.2019.8859001
• Elkano, M., Bustince, H., Galar, M. Do we still need fuzzy classifiers for Small Data in the Era of Big Data? 2019 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE), New Orleans, USA, JUN 23-26, 2019, DOI:10.1109/FUZZ-IEEE.2019.8858943
• Ellerby, Z., McCulloch, J., Young, J., Wagner, C. DECSYS - Discrete and Ellipse-based response Capture SYStem. 2019 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE), New Orleans, USA, JUN 23-26, 2019, DOI:10.1109/FUZZ-IEEE.2019.8858996
• Ferraro, M.B., Giordani, P., Serafini, A. fclust: An R Package for Fuzzy Clustering. R Journal, 11 (2019) 211-229.
• Gamez-Granados, J.C., Soto-Hidalgo, J.M., Acampora, G., Gonzalez, A., Perez, R. A software implementation of the fuzzy rule learning algorithm NSLVOrd for ordinal classification into KEEL. 2019 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE), New Orleans, USA, JUN 23-26, 2019
• Garzon, A., Cano, P., Gomez, J. Gamez, J. Visualization and Interpretation Tool for Expert Systems Based on Fuzzy Cognitive Maps. Ieee Access 7 (2019) 6140-6150. DOI:10.1109/ACCESS.2018.2887355
• Ibraigheeth, M.A., Fadzli, S.A. Fuzzy Logic Driven Expert System for the Assessment of Software Projects Risk. International Journal Of Advanced Computer Science And Applications, 10 (2019) 153-158. DOI:10.14569/IJACSA.2019.0100220
• Juneja, K. A fuzzy-filtered neuro-fuzzy framework for software fault prediction for inter-version and inter-project evaluation. Applied Soft Computing 77 (2019) 696-713. DOI:10.1016/j.asoc.2019.02.008
• Kumar, P.S. Intuitionistic fuzzy solid assignment problems: a software-based approach. International Journal Of System Assurance Engineering And Management, 10 (2019) 661-675. DOI:10.1007/s13198-019-00794-w
• Nassif, Ali Bou. Azzeh, Mohammad. Idri, Ali. Abran, Alain. Software Development Effort Estimation Using Regression Fuzzy Models. Computational Intelligence And Neuroscience, : (2019) DOI:10.1155/2019/8367214
• Novak, V., Mirshahi, S., Pavliska, V. LFL Forecaster: Analysis, Forecasting and Mining Information from Time Series. 2019 IEEE International Conference On Fuzzy Systems (FUZZ-IEEE), New Orleans, USA, JUN 23-26, 2019, DOI:10.1109/FUZZ-IEEE.2019.8858895
• Ozana, S., Burda, M., Hykel, M., Malina, M., Prasek, M., Barta, D. Dolny, Ales. Dragonfly Hunter CZ: Mobile application for biological species recognition in citizen science. Plos One 14:1 (2019) e0210370 DOI:10.1371/journal.pone.0210370
• Parchami, A. Calculator for fuzzy numbers. Complex & Intelligent Systems (2019) 331-342. DOI:10.1007/s40747-019-0093-4
• Patkar, G.S., Anjaneyulu, G., Mouli, P., Chandra. POFGURST: an expert intelligent system for mechanised oil palm fruit evaluating framework. International Journal Of Intelligent Engineering Informatics (2019) 89-106.
• Psoyants, Vladimir G.. Taganov, Alexandr I.. Kolesenkov, Aleksandr N.. Bodrova, Irina V.. Risk Management Technology of Software Project Sustainability in Fuzzy Conditions. 2019 8th Mediterranean Conference On Embedded Computing (meco), : pp.799-802, Budva, MONTENEGRO, JUN 10-14, 2019
• Rejab, M.M., Azmi, N.F.M., Chuprat, S. Fuzzy Delphi Method for Evaluating HyTEE Model (Hybrid Software Change Management Tool with Test Effort Estimation). International Journal Of Advanced Computer Science And Applications, 10 (2019) 529-535. DOI:10.14569/IJACSA.2019.0100465
• Rezaei, Negar. Rahmanimanesh, Mohammad. FIS-MPT: fuzzy inference system-based melody production tools. International Journal Of Arts And Technology, 11: (2019) 361-379. DOI:10.1504/IJART.2019.103487
• Sedaghatbaf, A., Azgomi, M.A. SQME: a framework for modeling and evaluation of software architecture quality attributes. Software And Systems Modeling, 18 (2019) 2609-2632. DOI:10.1007/s10270-018-0684-3
• Siminski, Krzysztof. NFL - Free Library for Fuzzy and Neuro-Fuzzy Systems. Beyond Databases, Architectures And Structures (bdas): Paving The Road To Smart Data Processing And Analysis, 1018: pp.139-150, Ustron, POLAND, MAY 28-31, 2019 DOI:10.1007/978-3-030-19093-4_11
• Singh, H., Karnatak, HC., Garg, RD.. An automated and optimized approach for online spatial biodiversity model: a case study of OGC web processing service. Geocarto International 34:2 (2019) 194-214. DOI:10.1080/10106049.2017.1381178
• Soto-Hidalgo, J.M., Vitiello, A., Alonso, Jose M., Acampora, G., Alcala-Fdez, J. Design of Fuzzy Controllers for Embedded Systems with JFML. International Journal of Computational Intelligence Systems 12:1 (2019) 204-214. DOI:10.2991/ijcis.2019.125905646
• Turker, Y., Baynal, K., Turker, T. The Evaluation Of Learning Management Systems By Using Fuzzy Ahp, Fuzzy Topsis And An Integrated Method: A Case Study. Turkish Online Journal Of Distance Education 20 (2019) 195-218.
• Wang, X., Gegov, A., Farzad, A., Chen, Y., Hu, Q. Fuzzy Network Based Framework for Software Maintainability Prediction. International Journal Of Uncertainty Fuzziness And Knowledge-based Systems, 27 (2019) 841-862. DOI:10.1142/S0218488519500375
• Wu, D., Zhu, X., Wan, J., Bao, C., Li, J. A Multiobjective Optimization Approach for Selecting Risk Response Strategies of Software Project: From the Perspective of Risk Correlations. International Journal Of Information Technology & Decision Making 18:1 (2019) 339-364. DOI:10.1142/S0219622019410013
• Zhang, Xuan. Wang, Xu. Tradeoff Analysis for Conflicting Software Non-Functional Requirements. Ieee Access, : (2019) 156463-156475. DOI:10.1109/ACCESS.2019.2949218