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gptkbp:instanceOf
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Control System
|
|
gptkbp:advantage
|
Difficult to Tune
Easy to Implement
Handles Uncertainty
No Need for Precise Mathematical Model
Not Optimal for All Applications
Robust to Noise
Rule Explosion
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gptkbp:application
|
gptkb:consumer_electronics
gptkb:robot
gptkb:Automotive_Systems
Industrial Automation
Process Control
Washing Machines
Camera Autofocus
Air Conditioners
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gptkbp:component
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gptkb:Inference_Engine
Knowledge Base
Defuzzification
Fuzzification
Rule Base
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gptkbp:field
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gptkb:artificial_intelligence
Control System
Automation
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gptkbp:form
|
gptkb:Fuzzy_Set_Theory
|
|
https://www.w3.org/2000/01/rdf-schema#label
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Fuzzy Control Systems
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gptkbp:introduced
|
gptkb:Lotfi_Zadeh
|
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gptkbp:introducedIn
|
1970s
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gptkbp:relatedTo
|
gptkb:Expert_Systems
gptkb:Neural_Networks
gptkb:Adaptive_Control
gptkb:Classical_Control_Systems
gptkb:PID_Controllers
Intelligent Control
|
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gptkbp:standardizedBy
|
gptkb:IEC_61131-7
|
|
gptkbp:uses
|
gptkb:Fuzzy_Logic
gptkb:Centroid_Defuzzification
gptkb:Mamdani_Inference
gptkb:Sugeno_Inference
gptkb:Takagi-Sugeno-Kang_Model
If-Then Rules
Linguistic Variables
Max-Min Composition
Membership Functions
Rule Aggregation
Rule Base Optimization
Rule Evaluation
Singleton Output
Weighted Average Defuzzification
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gptkbp:bfsParent
|
gptkb:Fuzzy_Logic
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gptkbp:bfsLayer
|
5
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