Fuzzy Rules for Performance
Performance Comparison of Level Control with the Three, Five & Nine Fuzzy Rules based method
... Intelligent Fuzzy Controller over the classical method, in which we noticed that the performance of Classical method was very poor, system was slow ...of Fuzzy Control system [1] ...the ...
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Use Fuzzy Rules and Experimental Design to Predict and Improve Output Performance of Three-Phase Inductive Motor
... and Fuzzy logic used to find the best performance for three phase inductive ...13 rules to predict the output. However, as soon as rules ready the values of apparent power S and real exploited ...
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Embedded YARA rules: strengthening YARA rules utilising fuzzy hashing and fuzzy rules for malware analysis
... YARA rules technique is used in cybersecurity to scan for malware, often in its default form, where rules are created either manually or ...YARA rules that enable analysts to label files as suspected ...
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FUZZY MINER: EXTRACTING FUZZY RULES FROM NUMERICAL PATTERNS *
... the performance of NEFCLASS when using the method of training the fuzzy sets that were initially constructed by the rule generation ...the fuzzy sets, we mean that the base or the height of the ...
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Fuzzy set covering as a new paradigm for the induction of fuzzy classification rules
... classification rules to the fuzzy case. Fuzzy classification rules are more expressive and allow semantically more natural conditions to be de- ...by fuzzy rules are defined by ...
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GA-based learning algorithms to identify fuzzy rules for fuzzy neural networks
... all rules set to unity (i.e. wi = 1). From the rules above, it can be observed that there are three inputs and one output linguistic ...possible rules, and the resulting FNN consists of three ...
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Performance Evaluation of Fuzzy and Neuro Fuzzy Based Image Fusion
... KEYWORDS: Fuzzy logic, neuro fuzzy logic, fuzzy rules, membership functions, PCA and wavelet ...neuro fuzzy logic is ...with fuzzy and neuro fuzzy logic methodology ...
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Optimization of Decision Rules in Fuzzy Classification
... integrated fuzzy logic with genetic algorithm approach for the optimization of Decision ...The performance of proposed algorithm is tested across two real world datasets and the results are quite ...
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Performance of Novel Based Fuzzy Association Rules to Reduced Computational Data Sets by Row Counts
... Agrawal and his co-worker carried out some mining algorithm based on the large data sets, which also find association mining rule [9]. These algorithms break the mining steps into two phases. In the first phase candidate ...
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Application of Fuzzy System Rules to Human Activity
... We have evaluated the performance of our system using fuzzy time intervals, while comparing it with the previous systems [10, 11] using deterministic intervals. Eight types of relatively simple interactions ...
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FORCASTING OF FINANCIAL MARKETS - APPLICATION OF FUZZY ASSOCIATION RULES
... Traditionally science, engineering and mathematics showed virtually no interest in studying uncertainty. It was considered undesirable and the idea was to eliminate it. In fact, eliminating uncertainty was considered as ...
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Fuzzy Hashing Aided Enhanced YARA Rules for Malware Triaging
... YARA rules, commonly used to detect and classify malware based on string and pattern matching, rules are triggered and alerted when their condition is ...YARA rules and its detection rate can be ...
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Augmented YARA rules fused with fuzzy hashing in ransomware triaging
... as fuzzy hashing, import hashing and YARA rules, amongst all, YARA rules are one of the most popular and widely used ...of rules employed for malware ...using fuzzy hashing, import ...
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Fuzzy Association Rules
... association rules by combining them with fuzzy set theory has already been around since several ...borders. Fuzzy sets can overcome that problem by al- lowing partial memberships to the different ...
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IF-THEN RULES AND FUZZY INFERENCE
... A rule is also called a fuzzy implication “x is A” is called the antecedent or premise “y is B” is called the consequence or conclusion.. http://if.kaist.ac.kr/lecture/cs670/textbook/.[r] ...
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Fuzzy Logic Fuzzy Rules and Fuzzy Rule Based Systems
... • The input of the aggregation process is the list of clipped or scaled consequent membership functions, and the output is one fuzzy set for each output variable... Step 4: Defuzzific[r] ...
Optimization under fuzzy if-then rules
... of fuzzy mathematical programming prob- lems and to provide a method for finding a fair solution to these ...of fuzzy if-then rules, where the antecedent part of the rules contains some ...
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An Intelligent Trading System with Fuzzy Rules and Fuzzy Capital Management
... trading rules, they can be based on charting and/or on technical ...of fuzzy logic- assisted charting such as the work by Zhou and Dong, 13 who used a fuzzy representation of the time series in order ...
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Discovery of Fuzzy Hierarchical Association Rules
... certain fuzzy taxonomic structures reflecting partial belonging of one item to another may ...a fuzzy taxonomy; this assumption is no longer ...association rules with fuzzy taxonomic ...
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Fuzzy If-Then Rules Classifier on Ensemble Data
... 5. Conclusion and Future Development In this paper, we have introduced a new framework by integrating fuzzy IF-THEN rules with ensemble system. Experimental results on 6 popular UCI datasets demonstrate ...
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