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...
Saved in:
| Main Author: | Rahib H. Abiyev |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2016/8950582 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Estimation of Food Security Risk Level Using Z-Number-Based Fuzzy System
by: Rahib H. Abiyev, et al.
Published: (2018-01-01) -
Fuzzy Decision Tree Based on Fuzzy Rough Sets and Z-Number Rules
by: Boya Zhu, et al.
Published: (2024-11-01) -
Neutrosophic Z-Number and HyperSoft for Integrated Energy Supply System Performance Inference of Solar Energy and Cogenerations
by: Weibin Wang, et al.
Published: (2025-05-01) -
MISO intuitionistic fuzzy inference system
by: Lakshmana Nayagam Velu, et al.
Published: (2025-03-01) -
SWITCHED RELUCTANCE MOTOR CONTROL BASED ON ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS)
by: Nguyen Van Thanh
Published: (2020-12-01)