Z Number Based Fuzzy Inference System for Dynamic Plant Control
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 t...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2016/8950582 |
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| _version_ | 1850215437935050752 |
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| author | Rahib H. Abiyev |
| author_facet | Rahib H. Abiyev |
| author_sort | Rahib H. Abiyev |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-806bef414eae480fa2cb57683407caec |
| institution | OA Journals |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-806bef414eae480fa2cb57683407caec2025-08-20T02:08:36ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2016-01-01201610.1155/2016/89505828950582Z Number Based Fuzzy Inference System for Dynamic Plant ControlRahib H. Abiyev0Applied Artificial Intelligence Research Centre, Department of Computer Engineering, Near East University, Northern Cyprus, Mersin 10, TurkeyFrequently 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.http://dx.doi.org/10.1155/2016/8950582 |
| spellingShingle | Rahib H. Abiyev Z Number Based Fuzzy Inference System for Dynamic Plant Control Advances in Fuzzy Systems |
| title | Z Number Based Fuzzy Inference System for Dynamic Plant Control |
| title_full | Z Number Based Fuzzy Inference System for Dynamic Plant Control |
| title_fullStr | Z Number Based Fuzzy Inference System for Dynamic Plant Control |
| title_full_unstemmed | Z Number Based Fuzzy Inference System for Dynamic Plant Control |
| title_short | Z Number Based Fuzzy Inference System for Dynamic Plant Control |
| title_sort | z number based fuzzy inference system for dynamic plant control |
| url | http://dx.doi.org/10.1155/2016/8950582 |
| work_keys_str_mv | AT rahibhabiyev znumberbasedfuzzyinferencesystemfordynamicplantcontrol |