Fuzzy rules and its weighting for Phase B
Improving Differently-Illuminant Images with Fuzzy Membership Based Saturation Weighting
... Applying Fuzzy membership rules In Fuzzy membership for gray image enhancement and smoothing two virtues ...ELSE rules for image enhancement, this is to enhance the pixels some directive ...
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TWO-PHASE C-MEANS CLUSTERING WITH NOISE REDUCTION USING FUZZY RULES
... Proposed Fuzzy rules for defuzzification The new set of fuzzy rules induces two mappings, one from the fuzzy set to the crisp input set and another from the fuzzy set to the ...
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Term Weighting for Information Retrieval Using Fuzzy Logic
... automatic Fuzzy Logic-based Term Weighting method for Vector Space ...Term Weighting classic method for its flexibility. The use of Fuzzy Logic is very appropiate in heterogeneous, ...
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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 ...
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A New Fuzzy SVM based on the Posterior Probability Weighting Membership
... base, two-link bionic fin ray and caoutchouc membrane element. Moreover, there is also complex coupling between pectoral fin and fluid during the propulsion locomotion of pectoral fin. Therefore, it is extremely complex ...
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P OSSIBLE WEIGHTING SCHEMES FOR GPS CARRIER PHASE OBSERVATIONS
... carrier phase observables to achieve ultra-precise positioning ...carrier phase observable was used throughout because of its superior noise characteristics over the L2 observable and 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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An Intelligent Trading System with Fuzzy Rules and Fuzzy Capital Management
... uses fuzzy logic to design the trading rules and to apply the stock market technical ...this fuzzy trading system adding a fuzzy strategy to manage the capital to ...indicator. Its ...
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FUZZY MINER: EXTRACTING FUZZY RULES FROM NUMERICAL PATTERNS *
... C OMPARATIVE O VERVIEW OF P ATTERN C LASSIFICATION A PPROACHES Already, when the field was still in its very infancy, it was realized that statistics and probability theory (Berger, 1985) had much to offer to ...
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Discovery of Fuzzy Hierarchical Association Rules
... certain fuzzy taxonomic structures reflecting partial belonging of one item to another may ...to its super-item with a certain degree and a crisp taxonomic structure assumes that the child item belongs to ...
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Clustering algorithms for fuzzy rules decomposition
... the fuzzy rules for each cluster are shown in Figure 6 to Figure 8 (note that the membership functions for each cluster are represented by a surface instead of its discrete ...
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Generation of Fuzzy Rules by Subtractive Clustering
... construct fuzzy IF…THEN rules, which controls how the system ...of rules and its parts depend on these ...(TSK) fuzzy inference modal was ...
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Identification and weighting of kidney allocation criteria: a novel multi-expert fuzzy method
... According to the geographical extent of Iran, the dif- ferent regions of the country perform locally the process of organ procurement and allocation. In the case of kid- ney, the country is divided into 15 regions, and ...
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Control design of a de-weighting upper-limb exoskeleton: extended-based fuzzy
... The design of the exoskeleton is inspired by TitanArm [27] due to its simplicity, capable of powered use and data transmission in a mobile fashion. The exoskeleton was designed with aluminum to provide the ...
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A Dynamic Weighting of Attributes in Heterogeneous Wireless Networks Using Fuzzy Linguistic Variables
... for its popularity is that it requires limited subjective inputs from decision makers, which happens to be the preference weights, assigned to different ...
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Fuzzy set covering as a new paradigm for the induction of fuzzy classification rules
... extracting fuzzy rules that capture the data set features in a compact and transparent ...than fuzzy c-means and results in a smaller loss of in- formation as compared to the standard methods in ...
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Time Series Analysis and Prediction Based on Fuzzy Rules and the Fuzzy Transform
... Figure 3: Time series with its inverse F-transform. Standard trend analysis would be inappropriate due to irregular cyclic changes. But such an approach is not always the most proper one, see Fig. 3. The problem ...
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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] ...