Z Number Based Fuzzy Inference System for Dynamic Plant Control
Author
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-08
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Frequently the reliabilities of the linguistic values of the variables in the rule base are becoming important in the modeling of fuzzy systems.
Taking into consideration the reliability degree of the fuzzy values of variables of the rules the design of inference mechanism acquires importance.
For this purpose, Z number based fuzzy rules that include constraint and reliability degrees of information are constructed.
Fuzzy rule interpolation is presented for designing of an inference engine of fuzzy rule-based system.
The mathematical background of the fuzzy inference system based on interpolative mechanism is developed.
Based on interpolative inference process Z number based fuzzy controller for control of dynamic plant has been designed.
The transient response characteristic of designed controller is compared with the transient response characteristic of the conventional fuzzy controller.
The obtained comparative results demonstrate the suitability of designed system in control of dynamic plants.
American Psychological Association (APA)
Abiyev, Rahib H.. 2016. Z Number Based Fuzzy Inference System for Dynamic Plant Control. Advances in Fuzzy Systems،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1095091
Modern Language Association (MLA)
Abiyev, Rahib H.. Z Number Based Fuzzy Inference System for Dynamic Plant Control. Advances in Fuzzy Systems No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1095091
American Medical Association (AMA)
Abiyev, Rahib H.. Z Number Based Fuzzy Inference System for Dynamic Plant Control. Advances in Fuzzy Systems. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1095091
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095091