Optimization of interval type-2 fuzzy system using the PSO technique for predictive problems-Reference-Cited by-同舟云学术

Optimization of interval type-2 fuzzy system using the PSO technique for predictive problems

Published:2020-10-30 Issue: Volume: Page:1-17
ISSN:2475-1839
Container-title:Journal of Information and Telecommunication
language:en
Short-container-title:Journal of Information and Telecommunication

Author:

Mai Dinh Sinh¹^ORCID,Dang Trong Hop²,Ngo Long Thanh¹^ORCID

Affiliation:

1. Le Quy Don Technical University, Hanoi, Vietnam

2. Hanoi University of Industry, Hanoi, Vietnam

Funder

Newton Fund

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/24751839.2020.1833141

Reference44 articles.

1. Interval Type-2 Fuzzy Logic Systems for Load Forecasting: A Comparative Study

2. Alreshoodi, M. Adeyemi-Ejeye, A. O. Woods, J. Walker, S. D. & Pokhrel, J. (2016). Interval type-2 fuzzy logic quality prediction model for wireless 4kUHD H.265-coded video streaming.2016 IEEE International Conference on Consumer Electronics(pp. 407–408).

3. Veracity handling and instance reduction in big data using interval type-2 fuzzy sets

4. Ayad, A. M. Fendy, S. Matthew, A. G. & Sreenatha, G. A. (2019). An intelligent control of an inverted pendulum based on an adaptive interval type-2 fuzzy inference system.FUZZ-IEEE.

5. Chao, C. Robert, J. Jamie, T. & Jonathan, M. G. (2016). An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models.FUZZ-IEEE(pp. 602–609).

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