Genetic Fuzzy Systems: Taxonomy, Current Research Trends and Prospects (2007)

2007 (121 papers)

  • Abadeh, Mohammad Saniee; Habibi, Jafar ;Barzegar, Zeynab; Sergi, Muna. A parallel genetic local search algorithm for intrusion detection in computer networks. Engineering Applications Of Artificial Intelligence 20:8 (2007) 1058-1069, doi:10.1016/j.engappai.2007.02.007
  • Abraham, Ajith; Grosan, Crina; Tigan, Stefan. Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs. Neural Computing & Applications 16:3 (2007) 307-316, doi:10.1007/s00521-007-0090-1
  • Acosta, Jesus; Nebot, Angela; Villar, Pedro; Fuertes, Josep M. Learning fuzzy partitions in FIR methodology. International Journal Of General Systems 36:6 (2007) 703-731, doi:10.1080/03081070701458548
  • Acostay, J.; Nebot, A.; Villar, P.; Fuertes, J.M. Optimization of fuzzy partitions for inductive reasoning using genetic algorithms. International Journal of Systems Science 38:12 (2007) 991-1011, doi:10.1080/00207720701657581
  • Alcala, R.; Alcala-Fdez, J.; Casillas, J.; Cordon, O.; Herrera, F. Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems. International Journal Of Intelligent Systems 22:9 (2007) 909-941, doi:10.1002/int.20232
  • Alcala, R.; Gacto, M. J.; Herrera, F.; Alcala-Fdez, J. A multi-objective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems 15:5(2007) 539-557 doi:10.1142/S0218488507004868
  • Alcala, Rafael; Alcala-Fdez, Jesus; Gacto, Maria Jose; Herrera, Francisco. Rule base reduction and genetic tuning of fuzzy systems based on the linguistic 3-tuples representation. Soft Computing 11:5 (2007) 401-419, doi:10.1007/s00500-006-0106-2
  • Alcala, Rafael; Alcala-Fdez, Jesus; Herrera, Francisco. A proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection. IEEE Transactions On Fuzzy Systems 15:4 (2007) 616-635,doi:10.1109/TFUZZ.2006.889880
  • Alcala, Rafael; Alcala-Fdez, Jesus; Herrera, Francisco; Otero, Jose. Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation. International Journal Of Approximate Reasoning 44:1 (2007) 45-64, doi:10.1016/j.ijar.2006.02.007
  • Alcala-Fdez, Jesus; Herrera, Francisco; Marquez, Francisco; Peregrin, Antonio. Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems. International Journal Of Intelligent Systems 22:9 (2007) 1035-1064, doi:10.1002/int.20237
  • Ascia, Giuseppe; Catania, Vincenzo; DI http://dx.doi.org/Nuovo, Alessandro G.; Palesi, Maurizio; Patti, Davide. Efficient design space exploration for application specific systems-on-a-chip. Journal Of Systems Architecture 53:10 (2007) 733-750, doi:10.1016/j.sysarc.2007.01.004
  • Bagis, Aytekin; Karaboga, Dervis. Evolutionary algorithm-based fuzzy PD control of spillway gates of dams. Journal Of The Franklin Institute-engineering And Applied Mathematics 344:8 (2007) 1039-1055, doi:10.1016/j.jfranklin.2007.05.003
  • Barai, Ranjit Kumar; Nonami, Kenzo. Optimal two-degree-of-freedom fuzzy control for locomotion control of a hydraulically actuated hexapod robot. Information Sciences 177:8 (2007) 1892-1915, doi:10.1016/j.ins.2006.10.003
  • Broekhoven, Ester Van; Adriaenssens, Veronique; De Baets, Bernard. Interpretability-preserving genetic optimization of linguistic terms in fuzzy models for fuzzy ordered classification: An ecological case study 44:1 (2007) 65-90, doi:10.1016/j.ijar.2006.03.003
  • Bullinaria, John A.; Li, Xiaoli. An introduction to computational intelligence techniques for robot control. Industrial Robot-an International Journal 34:4 (2007) 295-302, doi:10.1108/01439910710749618
  • Cai, Lin; Rad, A.B.; Chan, Wai-Lok. A genetic fuzzy controller for vehicle automatic steering control. IEEE Transactions On Vehicular Technology 56:2 (2007) 529-543, doi:10.1109/TVT.2006.889576
  • Casillas, Jorge; Carse, Brian; Bull, Larry. Fuzzy-XCS: A Michigan genetic fuzzy system. IEEE Transactions On Fuzzy Systems 15:4 (2007) 536-550, doi:10.1109/TFUZZ.2007.900904
  • Castillo, Oscar; Valdez, Fevrier; Melin, Patricia. Hierarchical genetic algorithms for topology optimization in fuzzy control systems. International Journal Of General Systems 36:5 (2007) 575-591, doi:10.1080/03081070701321860
  • Chatterjee, Amitava; Matsuno, Furnitoshi. A neuro-fuzzy assisted extended kalman filter-based approach for simultaneous localization and mapping (SLAM) problems. IEEE Transactions On Fuzzy Systems 15:5 (2007) 984-997, doi:10.1109/TFUZZ.2007.894972
  • Chatterjee, Arnitava; Chatterjee, Ranajit; Matsuno, Furnitoshi; Endo, Takahiro. Neuro-fuzzy state modeling of flexible robotic arm employing dynamically varying cognitive and social component based PSO. Measurement 40:6 (2007) 628-643, doi:10.1016/j.measurement.2006.09.004
  • Chaves, Paulo; Kojiri, Toshiharu. Conceptual fuzzy neural network model for water quality simulation. Hydrological Processes 21:5 (2007) 634-646, doi:10.1002/hyp.6279
  • Chaves, Paulo; Kojiri, Toshiharu. Deriving reservoir operational strategies considering water quantity and quality objectives by stochastic fuzzy neural networks. Advances In Water Resources 30:5 (2007) 1329-1341, doi:10.1016/j.advwatres.2006.11.011
  • Chaves, Paulo; Kojiri, Toshiharu. Stochastic fuzzy neural network: Case study of optimal reservoir operation. Journal Of Water Resources Planning And Management-ASCE 133:6 (2007) 509-518, doi:10.1061/(ASCE)0733-9496(2007)133:6(509)
  • Chen, Yuehui; Yang, Bo; Abraham, Ajith; Peng, Lizhi. Automatic design of hierarchical Takagi-Sugeno type fuzzy systems using evolutionary algorithms. IEEE Transactions On Fuzzy Systems 15:3 (2007) 385-397, doi:10.1109/TFUZZ.2006.882472
  • Cheong, France; Lai, Richard. Designing a hierarchical fuzzy logic controller using the differential evolution approach. Applied Soft Computing 7:2 (2007) 481-491, doi:10.1016/j.asoc.2006.12.001
  • Cheong, France; Lai, Richard. Simplifying the automatic design of a fuzzy logic controller using evolutionary programming. Soft Computing 11:9 (2007) 839-846, doi:10.1007/s00500-006-0135-x
  • Cheong, France; Lai, Riciard; Kim, Yong Soo; Hwang, Dae Hoon; OH, Hae Suk; Kim, Ji Hong. The design of a fuzzy logic controller of an ATM switch and its simulation. Journal Of Information Science And Engineering 23:3 (2007) 741-755 (not available DOI)
  • Chung, H.-Y.; Wu, S.-M.; Yu, F.-M.; Chang, W.-J. Evolutionary design of static output feedback controller for Takagi-Sugeno fuzzy systems. IET Control Theory And Applications 1:4 (2007) 1096-1103, doi:10.1049/iet-cta:20060227
  • Cococcioni, Marco; Ducange, Pietro; Lazzerini, Beatrice; Marcelloni, Francesco. A Pareto-based multi-objective evolutionary approach to the identification of Mamdani fuzzy systems. Soft Computing 11:11 (2007) 1013-1031, doi:10.1007/s00500-007-0150-6
  • Dounis, A.I.; Tiropanis, P.; Syrcos, G.P.; Tseles, D. Evolutionary fuzzy logic control of base-isolated structures in response to earthquake activity. Structural Control & Health Monitoring 14:1 (2007) 62-82, doi:10.1002/stc.83
  • Fazendeiro, Paulo; de Oliveira, Jose Valente; Pedrycz, Witold. A multiobjective design of a patient and anaesthetist-friendly neuromuscular blockade controller. IEEE Transactions On Biomedical Engineering 54:9 (2007) 1667-1678, doi:10.1109/TBME.2007.895109
  • Ghaffari, Ali; Chaibakhsh, Ali; Lucas, Caro. Soft Computing approach for modeling power plant with a once-through boiler. Engineering Applications Of Artificial Intelligence 20:6 (2007) 809-819, doi:10.1016/j.engappai.2006.11.001
  • Ghaffari, Ali; Mehrabian, Ali Reza; Mohammad-Zaheri, Morteza. Identification and control of power plant de-superheater using Soft Computing techniques. Engineering Applications Of Artificial Intelligence 20:2 (2007) 273-287, doi:10.1016/j.engappai.2006.06.006
  • Gonzalez, Jesus; Rojas, Ignacio; Pomares, Hector; Herrera, Luis J.; Guillen, Alberto; Palomares, Jose M.; Rojas, Fernando. Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms. International Journal Of Approximate Reasoning 44:1 (2007) 32-44, doi:10.1016/j.ijar.2006.02.006
  • Gómez-Skarmeta, A.F.; Jiménez, F.; Sánchez, G. Improving interpretability in approximative fuzzy models via multiobjective evolutionary algorithms 22:9 (2007) 943-969, doi:10.1002/int.20233
  • Ho, W.-H.; Tsai, J.-T.; Chou, J.-H. Robust-stable and quadratic-optimal control for TS-fuzzy-model-based control systems with elemental parametric uncertainties. IET Control Theory And Applications 1:3 (2007) 731-742, doi:10.1049/iet-cta:20060159
  • Ho, Wen-Hsien; Chou, Jyh-Horng. Design of optimal controllers for Takagi-Sugeno fuzzy-model-based systems. IEEE Transactions on Systems Man and Cybernetics Part A-Systems and Humans 37:3 (2007) 329-339, doi:10.1109/TSMCA.2007.893462
  • Hoffmann, Frank; Schauten, Daniel; Hoelemann, Sebastian. Incremental evolutionary design of TSK fuzzy controllers. IEEE Transactions On Fuzzy Systems 15:4 (2007) 563-577, doi:10.1109/TFUZZ.2007.900905
  • Hu, Yi-Chung. Fuzzy integral-based perceptron for two-class pattern classification problems. Information Sciences 177:7 (2007) 1673-1686, doi:10.1016/j.ins.2006.09.009
  • Hu, Yi-Chung. Sugeno fuzzy integral for finding fuzzy if-then classification rules. Applied Mathematics And Computation 185:1 (2007) 72-83, doi:10.1016/j.amc.2006.07.010
  • Ishibuchi, Hisao; Nojima, Yusuke. Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning. International Journal Of Approximate Reasoning 44:1 (2007) 4-31, doi:10.1016/j.ijar.2006.01.004
  • Jean, Ming-Der; Lin, Bor-Tsuen; Chou, Jyh-Horng. Design of a fuzzy logic approach based on genetic algorithms for robust plasma-sprayed zirconia depositions. Acta Materialia 55:6 (2007) 1985-1997, doi:10.1016/j.actamat.2006.11.011
  • del Jesus, Maria Jose; Gonzalez, Pedro; Herrera, Francisco; Mesonero, Mikel. Evolutionary fuzzy rule induction process for subgroup discovery: A case study in marketing. IEEE Transactions On Fuzzy Systems 15:4 (2007) 578-592, doi:10.1109/TFUZZ.2006.890662
  • Juang, Chia-Feng; Chung, I-Fang. Recurrent fuzzy network design using hybrid evolutionary learning algorithms. Neurocomputing 70:16-18 (2007) 3001-3010, doi:10.1016/j.neucom.2006.08.010
  • Juang, Chia-Feng; Chung, I-Fang; Hsu, Chao-Hsin. Automatic construction of feedforward/recurrent fuzzy systems by clustering-aided simplex particle swarm optimization. Fuzzy Sets And Systems 158:18 (2007) 1979-1996, doi:10.1016/j.fss.2007.04.009
  • Juang, Chia-Feng; Lo, Chiang. Fuzzy systems design by clustering-aided ant colony optimization for plant control. International Journal Of General Systems 36:6 (2007) 623-641, doi:10.1080/03081070701288952
  • Khorsand, Amir-R.; Akbarzadeh-T, Mohammad-R. Multi-objective meta level Soft Computing-based evolutionary structural design. Journal Of The Franklin Institute-engineering And Applied Mathematics 344:5 (2007) 595-612, doi:10.1016/j.jfranklin.2006.03.016
  • Kim, D-H; Kim, J-M; Hwang, S-H; Kim, H-S. Optimal brake torque distribution for a four-wheel-drive hybrid electric vehicle stability enhancement. Proceedings Of The Institution Of Mechanical Engineers Part D-journal Of Automobile Engineering 221:D11 (2007) 1357-1366, doi:10.1243/09544070JAUTO352
  • Kim, Euntai; Pedrycz, Witold. Information granulation as a basis of fuzzy modeling. Journal Of Intelligent & Fuzzy Systems 18:2 (2007) 123-148 (not available DOI)
  • Kim, Hyun-Su; Roschke, Paul N. GA-fuzzy control of smart base isolated benchmark building using supervisory control technique. Advances in Engineering Software 38:7 (2007) 453-465, doi:10.1016/j.advengsoft.2006.10.004
  • Kim, Jang Hyun; Kim, Sang-hoon; Yang, Hyunseok; Park, Jin Bae; Park, Young-Pil. Suggest a format for intelligence control and structure of holographic data storage system. Microsystem Technologies-micro-and Nanosystems-information Storage and Processing Systems 13:8-10 (2007) 1153-1160, doi:10.1007/s00542-007-0390-5
  • Ko, Chien-Ho; Cheng, Min-Yuan; Wu, Tsung-Kuei. Evaluating sub-contractors performance using EFNIM. Automation In Construction 16:4 (2007) 525-530, doi:10.1016/j.autcon.2006.09.005
  • Kosinski, Witold. Evolutionary algorithm determining defuzzyfication operators. Engineering Applications Of Artificial Intelligence 20:5 (2007) 619-627, doi:10.1016/j.engappai.2007.03.003
  • Kumar, S.; Taheri, F. Neuro-fuzzy approaches for pipeline condition assessment. Nondestructive Testing And Evaluation 22:1 (2007) 35-60, doi:10.1080/10589750701327858
  • Lee, Chi-Yung; Lin, Cheng-Jian; Hsu, Yung-Chi. A parametric fuzzy CMAC model with hybrid evolutionary learning algorithms. Journal Of Multiple-valued Logic And Soft Computing 13:1-2 (2007) 89-114 (not available DOI)
  • Lei, Yaguo; He, Zhengjia; Zi, Yanyang; Hu, Qiao. Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAS. Mechanical Systems And Signal Processing 21:5 (2007) 2280-2294, doi:10.1016/j.ymssp.2006.11.003
  • Li, I-Hsum; Wang, Wei-Yen; Su, Shun-Feng; Lee, Yuang-Shung. A merged fuzzy neural network and its applications in battery state-of-charge estimation. IEEE Transactions On Energy Conversion 22:3 (2007) 697-708, doi:10.1109/TEC.2007.895457
  • Lilly, John H. Evolution of a negative-rule fuzzy obstacle avoidance controller for an autonomous vehicle. IEEE Transactions On Fuzzy Systems 15:4 (2007) 718-728, doi:10.1109/TFUZZ.2006.889918
  • Lin, Cheng-Jian; Hsu, Yung-Chi. Reinforcement hybrid evolutionary learning for recurrent wavelet-based neurofuzzy systems. IEEE Transactions On Fuzzy Systems 15:4 (2007) 729-745, doi:10.1109/TFUZZ.2006.889920
  • Lin, Cheng-Jian; Xu, Yong-Ji. Design of neuro-fuzzy systems using a hybrid evolutionary learning algorithm. Journal Of Information Science And Engineering 23:2 (2007) 463-477 (not available DOI)
  • Lin, Faa-Jeng; Huang, Po-Kai; Chou, Wen-Der. A genetic algorithm based recurrent fuzzy neural network for linear induction motor servo drive. Journal Of The Chinese Institute Of Engineers 30:5 (2007) 801-817
  • Lin, Faa-Jeng; Huang, Po-Kai; Chou, Wen-Der. Re'current-fuzzy-neural-network-controlled linear induction motor servo drive using genetic algorithms. IEEE Transactions on Industrial Electronics 54:3 (2007) 1449-1461, doi:10.1109/TIE.2007.892256
  • Linden, Ricardo; Bhaya, Amit. Evolving fuzzy rules to model gene expression. Biosystems 88:1-2 (2007) 76-91, doi:10.1016/j.biosystems.2006.04.006
  • Lo, C. H.; Chan, P. T.; Wong, Y. K.; Rad, A. B.; Cheung, K. L. Fuzzy-genetic algorithm for automatic fault detection in HVAC systems. Applied Soft Computing 7:2 (2007) 554-560, doi:10.1016/j.asoc.2006.06.003
  • Madkour, A.; Hossain, M.A.; Dahal, K.P.; Yu, H. Intelligent learning algorithms for active vibration control. IEEE Transactions On Systems Man And Cybernetics Part C-applications And Reviews 37:5 (2007) 1022-1033, doi:10.1109/TSMCC.2007.900640
  • Majumdar, Kausik Kumar; Majumder, Dwijesh Dutta. Fuzzy knowledge-based and model-based systems. Journal Of Intelligent & Fuzzy Systems 18:4 (2007) 391-403 (not available DOI)
  • Marquez, Francisco Alfredo; Peregrin, Antonio; Herrera, Francisco. Cooperative evolutionary learning of linguistic fuzzy rules and parametric aggregation connectors for Mamdani fuzzy systems. IEEE Transactions On Fuzzy Systems 15:6 (2007) 1162-1178, doi:10.1109/TFUZZ.2007.904121
  • Marseguerra, M.; Zio, E.; Cadini, F. Optimized adaptive fuzzy controller of the water level of a pressurized water reactor steam generator. Nuclear Science And Engineering 155:3 (2007) 386-394 (not available DOI)
  • Mezache, Amar; Soltani, Faouzi. A novel threshold optimization of ML-CFAR detector in Weibull clutter using fuzzy-neural networks. Signal Processing 87:9 (2007) 2100-2110, doi:10.1016/j.sigpro.2007.02.007
  • Milasi, Rasoul Mohammadi; Jamali, Mohammad Reza; Lucas, Caro. Intelligent washing machine: A bioinspired and multi-objective approach. International Journal of Control Automation and Systems 5:4 (2007) 436-443 (not available DOI)
  • Mota, Guilherme L.A.; Feitosa, Raul Q.; Coutinho, Heitor L.C.; Liedtke, Claus-Eberhard; Mueller, Soenke; Pakzad, Kian; Meirelles, Margareth S.P. Multitemporal fuzzy classification model based on class transition possibilities. ISPRS Journal Of Photogrammetry And Remote Sensing 62:3 (2007) 186-200, doi:10.1016/j.isprsjprs.2007.04.001
  • Mucientes, M.; Moreno, D.L.; Bugarin, A.; Barro, S. Design of a fuzzy controller in mobile robotics using genetic algorithms. Applied Soft Computing 7:2 (2007) 540-546, doi:10.1016/j.asoc.2005.05.007
  • Mucientes, Manuel; Casillas, Jorge. Quick design of fuzzy controllers with good interpretability in mobile robotics. IEEE Transactions On Fuzzy Systems 15:4 (2007) 636-651, doi:10.1109/TFUZZ.2006.889889
  • Mumolo, Enzo; Nolich, Massimiliano. Towards articulatory control of talking heads in humanoid robotics using a genetic-fuzzy imitation learning algorithm. International Journal Of Humanoid Robotics 4:1 (2007) 151-179 (not available DOI)
  • Na, Man Gyun; Kim, Jin Weon; Lim, Dong Hyuk. Prediction of residual stress for dissimilar metals welding at nuclear power plants using fuzzy neural network models. Nuclear Engineering And Technology 39:4 (2007) 337-348 (not available DOI)
  • Nakashima, Tomoharu; Schaefer, Gerald; Yokota, Yasuyuki; Ishibuchi, Hisao. A weighted fuzzy classifier and its application to image processing tasks. Fuzzy Sets And Systems 158:3 (2007) 284-294, doi:10.1016/j.fss.2006.10.011
  • Nandi, Arup Kumar; Klawonn, Frank. Detecting ambiguities in regression problems using TSK models. Soft Computing 11:5 (2007) 467-478, doi:10.1007/s00500-006-0110-6
  • Nguyen, V. B.; Morris, A. S. Genetic algorithm tuned fuzzy logic controller for a robot arm with two-link flexibility and two-joint elasticity. Journal of Intelligent & Robotic Systems 49:1 (2007) 3-18, doi:10.1007/s10846-006-9097-6
  • Nobahari, H.; Pourtakdoust, S.H. An optimal-fuzzy two-phase CLOS guidance law design using ant colony optimisation. Aeronautical Journal 111:1124 (2007) 621-636 (not available DOI)
  • Nocon, A.; Paszek, S. Synthesis of generator voltage regulator when applying polyoptimisation. Bulletin Of The Polish Academy Of Sciences-technical Sciences 55:1 (2007) 43-48 (not available DOI)
  • Noh, S.Y.; Park, J.B.; Joo, Y.H. Intelligent tracking algorithm for manoeuvering target using Kalman filter with fuzzy gain. IET Radar Sonar And Navigation 1:3 (2007) 241-247, doi:10.1049/iet-rsn:20060030
  • Nomura, Yasutoshi; Furuta, Hitoshi; Hirokane, Michiyuki. An integrated fuzzy control system for structural vibration. Computer-aided Civil And Infrastructure Engineering 22:4 (2007) 306-316, doi:10.1111/j.1467-8667.2007.00487.x
  • Oh, Sung-Kwun; Pedrycz, Witold; Park, Ho-Sung. Fuzzy relation-based neural networks and their hybrid identification. IEEE Transactions On Instrumentation And Measurement 56:6 (2007) 2522-2537, doi:10.1109/TIM.2007.908138
  • Oh, Sung-Kwun; Pedrycz, Witold; Park, Keon-Jun. Identification of fuzzy systems by means of genetic optimization and data granulation. Journal of Intelligent & Fuzzy Systems 18:1 (2007) 31-41
  • Oh, Sung-Kwun; Pedrycz, Witold; Park, Keon-Jun. Structural developments of fuzzy systems with the aid of information granulation. Simulation Modelling Practice And Theory 15:10 (2007) 1292-1309, doi:10.1016/j.simpat.2007.09.001
  • Oh, Sung-Kwun; Roh, Seok-Beom; Pedrycz, Witold; Ahn, Tae-Chon. IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons. Neurocomputing 70:16-18 (2007) 2783-2798, doi:10.1016/j.neucom.2006.10.151
  • de la Ossa, Luis; Flores, M.Julia; Gamez, Jose A.; Mateo, Juan L.; Puerta, Jose M. Initial breeding value prediction on Manchego sheep by using rule-based systems. Expert Systems With Applications 33:1 (2007) 96-109, doi:10.1016/j.eswa.2006.04.004
  • Park, Keon-Jun; Pedrycz, Witold; Oh, Sung-Kwun. A genetic approach to modeling fuzzy systems based on information granulation and successive generation-based evolution method. Simulation Modelling Practice And Theory 15:9 (2007) 1128-1145, doi:10.1016/j.simpat.2007.07.001
  • Pedrycz, Witold. Genetic tolerance fuzzy neural networks: From data to fuzzy hyperboxes. Neurocomputing 70:7-9 (2007) 1403-1413, doi:10.1016/j.neucom.2006.06.001
  • Pipe, A. G.; Carse, B. Fuzzy classifier system architectures for mobile robotics: An experimental comparison. International Journal Of Intelligent Systems 22:9 (2007) 993-1019, doi:10.1002/int.20235
  • Pourzeynali, S.; Lavasani, H.H.; Modarayi, A.H. Active control of high rise building structures using fuzzy logic and genetic algorithms. Engineering Structures 29:3 (2007) 346-357, doi:10.1016/j.engstruct.2006.04.015
  • Pulkkinen, Pietari; Koivisto, Hannu. Identification of interpretable and accurate fuzzy classifiers and function estimators with hybrid methods. Applied Soft Computing 7:2 (2007) 520-533, doi:10.1016/j.asoc.2006.11.001
  • Rao, Amara Venkata Subba; Pratihar, Dilip Kumar. Fuzzy logic-based expert system to predict the results of finite element analysis. Knowledge-Based Systems 20:1 (2007) 37-50, doi:10.1016/j.knosys.2006.07.004
  • Rattasiri, W.; Wickramarachchi, N.; Halgamuge, S.K. An optimized anti-lock braking system in the presence of multiple road surface types. International Journal of Adaptive Control and Signal Processing 21:6 (2007) 477-498, doi:10.1002/acs.933
  • Rivera, A.J.; Rojas, I.; Ortega, J.; del Jesus, M.J. A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks. Soft Computing 11:7 (2007) 655-668, doi:10.1007/s00500-006-0128-9
  • Riziotis, Christos; Vasilakos, Athanasios V. Computational intelligence in photonics technology and optical networks: A survey and future perspectives. Information Sciences 177:23 (2007) 5292-5315, doi:10.1016/j.ins.2007.06.012
  • Roh, Seok-Beom; Pedrycz, Witold; Oh, Sung-Kwun. Genetic optimization of fuzzy polynomial neural networks. IEEE Transactions on Industrial Electronics 54:4 (2007) 2219-2238, doi:10.1109/TIE.2007.894714
  • Saez, Doris; Milla, Freddy; Vargas, Luis S. Fuzzy predictive supervisory control based on genetic algorithms for gas turbines of combined cycle power plants. IEEE Transactions On Energy Conversion 22:3 (2007) 689-696, doi:10.1109/TEC.2007.902678
  • Shayeghi, H.; Jalili, A.; Shayanfar, H.A. Robust modified GA based multi-stage fuzzy LFC.Energy Conversion and Management 48:5 (2007) 1656-1670, doi:10.1016/j.enconman.2006.11.010
  • Shook, David; Lin, Pei-Yang; Lin, Tzu-Kang; Roschke, Paul N. A comparative study in the semi-active control of isolated structures. Smart Materials & Structures 16:4 (2007) 1433-1446, doi:10.1088/0964-1726/16/4/058
  • Sánchez, L.; Couso, I. Advocating the Use of Imprecisely Observed Data in Genetic Fuzzy Systems. IEEE Transactions On Fuzzy Systems 15:4 (2007) 551-562, doi:10.1109/TFUZZ.2007.895942
  • Sánchez, Luciano; Otero, José. Boosting fuzzy rules in classification problems under single-winner inference. International Journal Of Intelligent Systems 22:9 (2007) 1021-1034, doi:10.1002/int.20236
  • Tan, Guan-zheng; Dou, Hong-quan. ACS algorithm-based adaptive fuzzy PID controller and its application to CIP-I intelligent leg. Journal Of Central South University Of Technology 14:4 (2007) 528-536, doi:10.1007/s11771-007-0103-3
  • Tan, Tuan Zea; Quek, Chai; Ng, Geok See. Biological brain-inspired genetic complementary learning for stock market and bank failure prediction. Computational Intelligence 23:2 (2007) 236-261
  • Tao, Jili; Wang, Ning; Wang, Xuejun. Genetic algorithm based recurrent fuzzy neural network modeling of chemical processes. Journal Of Universal Computer Science 13:9 (2007) 1332-1343 (not available DOI)
  • Toosi, Adel Nadjaran; Kahani, Mohsen. A new approach to intrusion detection based on an evolutionary Soft Computing model using neuro-fuzzy classifiers. Computer Communications 30:10 (2007) 2201-2212, doi:10.1016/j.comcom.2007.05.002
  • Tsang, Chi-Ho; Kwong, Sam; Wang, Hanli. Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for anomaly intrusion detection. Pattern Recognition 40:9 (2007) 2373-2391, doi:10.1016/j.patcog.2006.12.009
  • Tsourveloudis, N.; Doitsidis, L.; Ioannidis, S. Work-in-process scheduling by evolutionary tuned fuzzy controllers. International Journal Of Advanced Manufacturing Technology 34:7-8 (2007) 748-761, doi:10.1007/s00170-006-0636-x
  • Uddin, M.Nasir; Rahman, M.Azizur. High-speed control of IPMSM drives using improved fuzzy logic algorithms. IEEE Transactions on Industrial Electronics 54:1 (2007) 190-199, doi:10.1109/TIE.2006.888781
  • Vadakkepat, Prahlad; Peng, Xiao; Kiat, Quek Boon; Heng, Lee Tong. Evolution of fuzzy behaviors for multi-robotic system. Robotics And Autonomous Systems 55:2 (2007) 146-161, doi:10.1016/j.robot.2006.07.005
  • Van Eck, Nees Jan; Waltman, Ludo. Bibliometric mapping of the computational intelligence field. International Journal Of Uncertainty Fuzziness And Knowledge-based Systems 15:5 (2007) 625-645 (not available DOI)
  • Vundavilli, Pandu Ranga; Sahu, Sambit Kumar; Pratihar, Dilip Kumar. Online dynamically balanced ascending and descending gait generations of a biped robot using Soft Computing. International Journal Of Humanoid Robotics 4:4 (2007) 777-814 (not available DOI)
  • Walter, Igor; Gomide, Fernando. Genetic fuzzy systems to evolve interaction strategies in multiagent systems. International Journal Of Intelligent Systems 22:9 (2007) 971-991, doi:10.1002/int.20234
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