( en | de | ru )

 

Disambiguation of "Tay, Kai Meng"

Author of the publication

copydeleteadd this publication to your clipboard
Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System.

, , and . IEEE Trans. Fuzzy Syst., 24 (6): 1455-1463 (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Meng Meng

Christopher Tay

Sarab Tay

Meng Meng Liang

Meng Zhang

Methods and implementations of road-network matching. TU München, (2009)
 

Other publications of authors with the same name

Interval-based and fuzzy set-based approaches to modeling of fuzzy inference systems with the local monotonicity property., , and . FUZZ-IEEE, page 1-7. IEEE, (2013)A New Monotone Fuzzy Rule Relabeling Framework With Application to Failure Mode and Effect Analysis Methodology., , , and . IEEE Access, (2020)Application of self-organizing map to failure modes and effects analysis methodology., , and . Neurocomputing, (2017)Application of Fuzzy Inference Techniques to FMEA., and . WSC, volume 34 of Advances in Soft Computing, page 161-171. Springer, (2004)Clustering and visualization of failure modes using an evolving tree., , and . Expert Syst. Appl., 42 (20): 7235-7244 (2015)Optimization of Gaussian fuzzy membership functions and evaluation of the monotonicity property of Fuzzy Inference Systems., and . FUZZ-IEEE, page 1219-1224. IEEE, (2011)On the use of fuzzy rule interpolation techniques for monotonic multi-input fuzzy rule base models., and . FUZZ-IEEE, page 1736-1740. IEEE, (2009)A new method to rank fuzzy numbers using Dempster-Shafer theory with fuzzy targets., , and . Inf. Sci., (2016)A new fuzzy criterion-referenced assessment with a fuzzy rule selection technique and a monotonicity-preserving similarity reasoning scheme., , and . J. Intell. Fuzzy Syst., 24 (2): 261-279 (2013)Parametric Conditions for a Monotone TSK Fuzzy Inference System to be an n-Ary Aggregation Function., , , and . IEEE Trans. Fuzzy Syst., 29 (7): 1864-1873 (2021)