2017 (49 papers)

• Acampora, G., Vitiello, A. Extending IEEE Std 1855 for designing Arduino™-based fuzzy systems. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, 2017, pp. 1-6. doi: 10.1109/FUZZ-IEEE.2017.8015755
• Aguwa, C., Olya, MH., Monplaisir, L. Modeling of fuzzy-based voice of customer for business decision analytics. Knowledge-based Systems, 125: (2017) 136-145. DOI:10.1016/j.knosys.2017.03.019
• Almendros-Jim\'enez, JM., Becerra-Ter\'on, A., Moreno, G. A fuzzy extension of SPARQL based on fuzzy sets and aggregators. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, 2017, pp. 1-6. doi: 10.1109/FUZZ-IEEE.2017.8015411
• Anand, R., Samuel, TSA., Mary, PM. Improved dynamic response of isolated full bridge DC to DC converter using BATA optimization tuned fuzzy sliding mode controller for solar applications. International Journal Of Hydrogen Energy, 42:34 (2017) 21648-21658. DOI:10.1016/j.ijhydene.2017.07.109
• Bacik, J., Durovsky, F., Fedor, P., Perdukova, D. Autonomous flying with quadrocopter using fuzzy control and ArUco markers. Intelligent Service Robotics, 10:3 (2017) 185-194. DOI:10.1007/s11370-017-0219-8
• Bottani, E., Gentilotti, MC., Rinaldi, M. A Fuzzy Logic-Based Tool for the Assessment of Corporate Sustainability: A Case Study in the Food Machinery Industry. Sustainability, 9:4 (2017) DOI:10.3390/su9040583
• Cabrerizo, FJ., Lopez-Gijon, J., Martinez, MA., Morente-Molinera, JA., Herrera-Viedma, E. A Fuzzy Linguistic Extended LibQUAL plus Model to Assess Service Quality in Academic Libraries. International Journal of Information Technology & Decision Making, 16:1 (2017) 225-244. DOI:10.1142/S0219622015500406
• Castellano, G., Castiello, C., Pasquadibisceglie, V., Zaza, G. FISDeT: Fuzzy Inference System Development Tool. International Journal of Computational Intelligence Systems, 10:1 (2017) 13-22.
• Chou, CH., Hsieh, SC., Qiu, CJ. Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction. Applied Soft Computing, 56: (2017) 298-316. DOI:10.1016/j.asoc.2017.03.014
• Conde-Clemente, P, Alonso, J.M., Trivino, G. rLDCP: R package for text generation from data. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, 2017, pp. 1-6. doi: 10.1109/FUZZ-IEEE.2017.8015487
• Dhanajayan, RCG., Pillai, SA. SLMBC: spiral life cycle model-based Bayesian classification technique for efficient software fault prediction and classification. Soft Computing, 21:2 (2017) 403-415. DOI:10.1007/s00500-016-2316-6
• Ding, LL., Liu, Y., Han, BS., Zhang, SW., Song, BY. HB-File: An efficient and effective high-dimensional big data storage structure based on US-ELM. Neurocomputing, 261: pp.184-192, Hangzhou, PEOPLES R CHINA, 2015 DOI:10.1016/j.neucom.2016.06.080
• Franklin, A., Jebaseeli, TJ. GUI For Retinal Blood Vessel Articulation for Detection Of Diabetic Retinopathy.. Research Journal of Pharmaceutical Biological and Chemical Sciences, 8:3 (2017) 2372-2385.
• Garcia, JAL., Pena, AB., Perez, PYP., Perez, RB. Project Control and Computational Intelligence: Trends and Challenges. International Journal of Computational Intelligence Systems, 10:1 (2017) 320-335.
• Gherardini, F., Renzi, C., Leali, F. A systematic user-centred framework for engineering product design in small- and medium-sized enterprises (SMEs). International Journal of Advanced Manufacturing Technology, 91:5-8 (2017) 1723-1746. DOI:10.1007/s00170-016-9857-9
• Gupta, D., Ahlawat, AK., Sagar, K. Usability Prediction& Ranking of SDLC Models Using Fuzzy Hierarchical Usability Model. Open Engineering, 7:1 (2017) 161-168. DOI:10.1515/eng-2017-0021
• Hernandez-Aguila, A., Garcia-Valdez, M., Castillo, O., Guerv\'os, JJ. An open source implementation of an intuitionistic fuzzy inference system in Clojure. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, 2017, pp. 1-6. doi: 10.1109/FUZZ-IEEE.2017.8015697
• Kang, J., Park, JH. A secure-coding and vulnerability check system based on smart-fuzzing and exploit. Neurocomputing, 256: (2017) 23-34. DOI:10.1016/j.neucom.2015.11.139
• Kaushik, A., Verma, S., Singh, HJ., Chhabra, G. Software cost optimization integrating fuzzy system and COA-Cuckoo optimization algorithm. International Journal Of System Assurance Engineering And Management, 8:2 (2017) 1461-1471. DOI:10.1007/s13198-017-0615-7
• Keshtkar, A., Arzanpour, S. An adaptive fuzzy logic system for residential energy management in smart grid environments. Applied Energy, 186: (2017) 68-81. DOI:10.1016/j.apenergy.2016.11.028
• Kim, KB., Song, DH., Kim, CW. Automatic Extraction of Liver and Kidney Area from Ultrasonography with Contrast-Enhanced Image Processing Technique for Correct Fat Liver Analysis. Journal of Medical Imaging and Health Informatics, 7:3 (2017) 667-673. DOI:10.1166/jmihi.2017.2045
• Klimes, C., Krajcik, V., Farana, R. Proposal of Complex Software Applications. Software Engineering Trends and Techniques in Intelligent Systems, 575:3 pp.53-61, Zlin, CZECH REPUBLIC, APR, 2017 DOI:10.1007/978-3-319-57141-6_6
• Lagomarsino, D., Tofani, V., Segoni, S., Catani, F., Casagli, N. A Tool for Classification and Regression Using Random Forest Methodology: Applications to Landslide Susceptibility Mapping and Soil Thickness Modeling. Environmental Modeling & Assessment, 22:3 (2017) 201-214. DOI:10.1007/s10666-016-9538-y
• Lamy, JB. Owlready: Ontology-oriented programming in Python with automatic classification and high level constructs for biomedical ontologies. Artificial Intelligence in Medicine, 80: (2017) 11-28. DOI:10.1016/j.artmed.2017.07.002
• Lee, CS., Wang, MH., Yang, SC., Hung, PH., Lin, SW., Shuo, N., Kubota, N., Chou, CH., Chou, PC., Kao, CH. FML-based Dynamic Assessment Agent for Human-Machine Cooperative System on Game of Go. International Journal of Uncertainty Fuzziness and Knowledge-based Systems, 25:5 (2017) 677-705. DOI:10.1142/S0218488517500295
• Li, MM., de Beurs, KM., Stein, A., Bijker, W. Incorporating Open Source Data for Bayesian Classification of Urban Land Use From VHR Stereo Images. IEEE Journal Of Selected Topics in Applied Earth Observations and Remote Sensing, 10:11 (2017) 4930-4943. DOI:10.1109/JSTARS.2017.2737702
• Loor, M., De Tre. G. An open-source software package to assess similarity measures that compare intuitionistic fuzzy sets. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, 2017, pp. 1-6. doi: 10.1109/FUZZ-IEEE.2017.8015689
• Lughofer, E., Richter, R., Neissl, U., Heidl, W., Eitzinger, C., Radauer, T. Explaining classifier decisions linguistically for stimulating and improving operators labeling behavior. Information Sciences, 420: (2017) 16-36. DOI:10.1016/j.ins.2017.08.012
• Marin, M., Defour, D., Milano, F. An Efficient Representation Format for Fuzzy Intervals Based on Symmetric Membership Functions. ACM Transactions on Mathematical Software, 43:3 (2017) DOI:10.1145/2939364
• Marin, N., Rivas-Gervilla, G., S\'anchez, D., Scene selection for teaching basic visual concepts in the Refer4Learning app. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, 2017, pp. 1-6. doi: 10.1109/FUZZ-IEEE.2017.8015669
• Martínez-Cruz, C., Serrano, JM., Vila, A. A tool to perform semantic and imprecise queries on non-scalar data. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, 2017, pp. 1-6. doi: 10.1109/FUZZ-IEEE.2017.8015693
• McCulloch, J. Fuzzycreator: A python-based toolkit for automatically generating and analysing data-driven fuzzy sets. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, 2017, pp. 1-6. doi: 10.1109/FUZZ-IEEE.2017.8015445
• Mencar, C., Fanelli, AM., Russo, M. KEEL meets KNIME. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, 2017, pp. 1-6. doi: 10.1109/FUZZ-IEEE.2017.8015509
• Panchal, D., Kumar, D. Stochastic behaviour analysis of real industrial system. International Journal Of System Assurance Engineering And Management, 8:2 (2017) 1126-1142. DOI:10.1007/s13198-017-0579-7
• Papageorgiou, EI., Poczeta, K. A two-stage model for time series prediction based on fuzzy cognitive maps and neural networks. Neurocomputing, 232: (2017) 113-121. DOI:10.1016/j.neucom.2016.10.072
• Papazoglou, IA., Aneziris, ON., Bellamy, LJ., Ale, BJM., Oh, J. Multi-hazard multi-person quantitative occupational risk model and risk management. Reliability Engineering & System Safety, 167: (2017) 310-326. DOI:10.1016/j.ress.2017.06.019
• Pereira-Fariña, M., L\'opez-Fojo, J.A., Bugar\'{i}n, A., VICLEO: A visualization tool for representing the semantic field of statements. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, 2017, pp. 1-6. doi: 10.1109/FUZZ-IEEE.2017.8015486
• Pourarian, S., Wen, J., Veronica, D., Pertzborn, A., Zhou, XH., Liu, R. A tool for evaluating fault detection and diagnostic methods for fan coil units. Energy And Buildings, 136: (2017) 151-160. DOI:10.1016/j.enbuild.2016.12.018
• Sánchez, O, Moyano, JM., Sánchez, L., Alcalá-Fdez, J. Mining association rules in R using the package RKEEL. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, 2017, pp. 1-6. doi: 10.1109/FUZZ-IEEE.2017.8015572
• Siavvas, MG., Chatzidimitriou, KC., Symeonidis, AL. QATCH - An adaptive framework for software product quality assessment. Expert Systems With Applications, 86: (2017) 350-366. DOI:10.1016/j.eswa.2017.05.060
• Singh, P., Pal, NR., Verma, S., Vyas, OP. Fuzzy Rule-Based Approach for Software Fault Prediction. IEEE Transactions on Systems Man Cybernetics-Systems, 47:5 (2017) 826-837. DOI:10.1109/TSMC.2016.2521840
• Soto-Hidalgo, JM., Martínez-Jim\'enez, PM., Chamorro-Martínez, J., Sánchez, D. Enhancing JFCS software with a new mapping module. filling the semantic gap from pixels to meaningful fuzzy colors. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, 2017, pp. 1-6. doi: 10.1109/FUZZ-IEEE.2017.8015547
• Sudana, IM., Purnawirawan, O., Arief, UM. Prediction System of Hydroponic Plant Growth and Development Using Algorithm Fuzzy Mamdani Method. Engineering International Conference (EIC) 2016 Green Technology, 1818:Semarang, INDONESIA, OCT 05-06, 2016 DOI:10.1063/1.4976916
• Vahidnia, S., Tanriover, OO., Askerzade, IN. An Early Phase Software Project Risk Assessment Support Method for Emergent Software Organizations. International Journal of Advanced Computer Science and Applications, 8:5 (2017) 105-118.
• Wang, XJ., Tiwari, P., Chen, X. Communicating supply chain risks and mitigation strategies: a comprehensive framework. Production Planning & Control, 28:13 (2017) 1023-1036. DOI:10.1080/09537287.2017.1329562
• Wieland, R., Mirschel, W. Combining expert knowledge with machine learning on the basis of fuzzy training. Ecological Informatics, 38: (2017) 26-30. DOI:10.1016/j.ecoinf.2017.01.0011574-9541
• Zeb, K., Ali, Z., Saleem, K., Uddin, W., Javed, MA., Christofides, N. Indirect field-oriented control of induction motor drive based on adaptive fuzzy logic controller. Electrical Engineering, 99:3 (2017) 803-815. DOI:10.1007/s00202-016-0447-5
• Zhang, AB., Hao, MD., Yang, CQ., Shi, ZY. BarcodingR: an integrated r package for species identification using DNA barcodes. Methods In Ecology And Evolution, 8:5 (2017) 627-634. DOI:10.1111/2041-210X.12682
• Zhang, ZH., Hu, Y., Ma, C., Xu, JH., Yuan, SG., Chen, Z. Incentive-punitive risk function with interval valued intuitionistic fuzzy information for outsourced software project risk assessment. Journal of Intelligent & Fuzzy Systems, 32:5 (2017) 3749-3760. DOI:10.3233/JIFS-169307