Thus, several constraints have to be imposed along the whole design process with the aim of producing really interpretable fuzzy systems, in the sense that every element of the whole system may be checked and understood by a human being. Otherwise, fuzzy systems may even become black-boxes....
Alcalá R, Nojima Y (2009) Special issue on genetic fuzzy systems: new advances. Evol Intell 2:1–3special issue on "Genetic Fuzzy Systems: New Advances," and both the SoftAlcala, R., Nojima, Y. (2009) Special issue on genetic fuzzy systems: new advances. Evolutionary Intelligence 2: ...
amount of unstructured, uncertain and imprecise data, which are structurally complex and incomplete, traditional techniques and methods of data analysis are less effective when being considered in large‐scale incomplete information system to extract knowledge. Installation of various sensors make possible f...
International Journal of Intelligent SystemsTorra, V.: Special Issue on Hierarchical Fuzzy Systems. International Journal of Intelligent Systems 17(2002)447.Torra, V., (2002), Special Issue on Hierarchical Fuzzy Systems, Int. J. of Intel. Systems, forthcomming....
(2011), `Special issue on evolutionary fuzzy systems', Soft Computing 15(12), 2299- 2301.R. Alcala´, Y. Nojima, H. Ishibuchi, and F. Herrera, "Special issue on evolutionary fuzzy systems," International Journal of Computational Intelligence Systems, vol. 5, no. 2, pp. 209-211, ...
Special issue Special Issue on Fuzzy Systems for Biomedical Science in Healthcare Last update 24 September 2024 Guest Editors: Weiping Ding Javier Andreu-Perez Yiu-ming Cheung Swagatam Das Xiaodong Yue Dariusz Mrozek Actions for selected articles Select all / Deselect allDownload PDFsExport citation...
IEEE Transactions on Fuzzy SystemsE. D. Lughofer, “FLEXFIS: A robust incremental learning approach for evolving Takagi–Sugeno fuzzy models,” IEEE Trans... Lughofer,E.D. - 《IEEE Transactions on Fuzzy Systems》 被引量: 402发表: 2008年 Special issue on "Genetic Fuzzy Systems: Recent Devel...
Rules Extraction of Interval Type-2 Fuzzy Logic System Based on Fuzzy c-Means Clustering An improved clustering algorithm is proposed in this paper, which originates from Fuzzy c-Means Clustering(FCM). FCM is one of the algorithms used commonly... WB Zhang,HZ Hu,WJ Liu - IEEE Computer Soci...
fuzzy system, nonlinear behavior in Romeo and Juliet's love model influenced by external force with fuzzy mem- bership function, fuzzy theory using in image contrast enhancement technology, adaptive impedance force con- troller design for robot manipulator including actuator dynamics, and system ...
The ten technical areas included are: Modeling and Design, Manufacturing, Motion Control, System Integration, Vibration and Noise Control, Actuators and Sensors, Micro Devices and Opto-Electronics Systems, Intelligent Control, Automotive Systems, Robotics, and Other Applications. 中文简介:由IEEE和ASME...