Decision-making with a fuzzy logic inference engine

1993 ◽  
Author(s):  
Nadja K. O'Hagan ◽  
Michael O'Hagan
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Inference Engine ◽  
Fuzzy Logic Inference ◽  
Logic Inference

scholarly journals Hybrid Intrusion Detection System using Fuzzy Logic Inference Engine for SQL Injection Attack

Kursor ◽  
2018 ◽  
Vol 9 (3) ◽  
Author(s):  
Rajif Agung Yunmar
Keyword(s):  
Fuzzy Logic ◽  
Web Application ◽  
Detection System ◽  
False Negative ◽  
Inference Engine ◽  
Hybrid Architecture ◽  
Sql Injection ◽  
Fuzzy Logic Inference ◽  
Sql Injection Attack ◽  
Logic Inference

SQL injection attacks toward web application increasingly prevalent. Testing to the web that will published is the one of preventive measures. However, this method sometimes ineffective because constrained by various things. Instrusion detection system (IDS) is able to help protect the website from various attacks. This study proposed an IDS for web applications from SQL injection-based attacks. The IDS is based on hybrid architecture with a signature-based detection method, type of data to analyzed is network packet and error log. The fuzzy logic inference engine used to be drawn the conclusion based on analyzed data. Proposed hybrid IDS has good result on detecting the various type of SQL injection attack and significantly reduce or even remove the false positive and false negative.

Automated interpretation of LIBS spectra using a fuzzy logic inference engine

2012 ◽  
Vol 51 (7) ◽  
pp. B155 ◽  
Author(s):  
Jeremy J. Hatch ◽  
Timothy R. McJunkin ◽  
Cynthia Hanson ◽  
Jill R. Scott
Keyword(s):  
Fuzzy Logic ◽  
Inference Engine ◽  
Fuzzy Logic Inference ◽  
Automated Interpretation ◽  
Logic Inference

Enhancing a Fuzzy Logic Inference Engine through Machine Learning for a Self- Managed Network

2011 ◽  
Vol 16 (4) ◽  
pp. 475-489 ◽  
Author(s):  
Panagis Magdalinos ◽  
Apostolos Kousaridas ◽  
Panagiotis Spapis ◽  
George Katsikas ◽  
Nancy Alonistioti
Keyword(s):  
Machine Learning ◽  
Fuzzy Logic ◽  
Inference Engine ◽  
Fuzzy Logic Inference ◽  
Logic Inference

scholarly journals An Alternative Approach for Oil-immersed High Voltage Power Transformer Dissolved Gas Analysis Diagnostic Techniques

2019 ◽  
Vol 18 (2) ◽  
pp. 1-7
Author(s):  
Ahmad Karimi Mehrabadi ◽  
Asaad Shemshadi ◽  
Hossein Shateri
Keyword(s):  
Fuzzy Logic ◽  
Power Transformer ◽  
Diagnostic Techniques ◽  
Inference Engine ◽  
Gas Analysis ◽  
Transformer Oil ◽  
Power Transformers ◽  
Fuzzy Logic Inference ◽  
Triangle Method ◽  
Logic Inference

This article presents alternative analyzing method of extracted dissolved gases related to insulating oil of power transformers. Analysis of soluble and free gas is one of the most commonly used troubleshooting methods for detecting and evaluating equipment damage. Although the analysis of oil-soluble gases is often complex, it should be expertly processed during maintenance operation. The destruction of the transformer oil will produce some hydrocarbon type gases. The development of this index is based on two examples of traditional evaluation algorithms along with fuzzy logic inference engine. Through simulation process, the results of the initial fractures in the transformer are obtained in two ways by the "Duval Triangle method” and "Rogers’s ratios". In continue, three digit codes containing the fault information are created based on the fuzzy logic inference engine to achieve better results and eliminate ambiguous zones in commonly used methods, especially in the “Duval Triangle method”. The proposed method is applied to 80 real transformers to diagnose the fault by analyzing the dissolved oil based on fuzzy logic. The results illustrate the proficiency of this alternative proposed algorithm. Finally, with utilization of a neural network the alternative practical inference function is derived to make the algorithm more usable in the online condition monitoring of power transformers.

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