Title :
Fuzzy data processing method
Author :
Dubchak, Lesia ; Vasylkiv, Nadiya ; Kochan, Volodymyr ; Lyapandra, Andriy
Author_Institution :
Ternopil Nat. Econ. Univ., Ternopil, Ukraine
Abstract :
This paper proposes a method for fuzzy data processing based on Mamdani´s fuzzy inference method. The implementation of this method is divided into phases of training and exploitation, which reduces the number of operations during fuzzy data processing and improves its performance. The analysis of the time complexity of the proposed method shows the reduction in run-time processing of fuzzy data four times comparatively to the time of the realization of fuzzy inference by classical Mamdani´s mechanism.
Keywords :
computational complexity; data handling; fuzzy reasoning; Mamdani fuzzy inference method; exploitation phase; fuzzy data processing method; run-time processing; time complexity; training phase; Data processing; Fuzzy logic; Fuzzy sets; Fuzzy systems; Time complexity; Training; Mamdani´s fuzzy inference method; fuzzy logic; the time complexity;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4799-1426-5
DOI :
10.1109/IDAACS.2013.6662709