IF-THEN rule-based fuzzy inference
Compositional Rule of Inference and Adaptive Fuzzy Rule Based Scheme with Applications
... Daily stock trading data of DSE (Dhaka Stock Exchange) have been collected from the website of stockbangldesh.com. Which contain opening, closing, high, low and quantity of stocks traded in a particular day. Data taken ...
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Design of Host based Intrusion Detection System using Fuzzy Inference Rule
... anomaly based network intrusion detection system [8]. They use fuzzy logic for identifying the intrusion activities in a ...generates fuzzy IF-THEN rules and with the help of fuzzy decision ...
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ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL CLIMBING APPROACH
... compositional rule of inference (CRI method for short) presented by Zadeh([3]) based on fuzzy set theory, in which propositions and inference rules involved are expressed as ...
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DESIGNING FORWARD CHAINING INFERENCE ENGINE FOR FUZZY RULE BASED EXPERT SYSTEM FOR CYBER SECURITY
... cyber based real time distributed control ...using fuzzy logic is a system that consists of a rule depository and a mechanism for accessing and running the ...rules. Fuzzy optimization deals ...
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A t Norm Fuzzy Logic for Approximate Reasoning
... contain fuzzy concepts. Such an inference cannot be made adequately by the methods which are based either on classical two valued logic or on many valued ...an inference, Zadeh suggested an ...
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Enhancing a Fuzzy Inference System-Based Criterion-Referenced Assessment with an Analogical Reasoning Schema
... complete fuzzy rule base is rigorous. The number of fuzzy rule increases in an exponential manner, when the number of input ...important fuzzy rules for an FIS modeling, and on how to ...
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MODIFICATION OF FUZZY LOGIC RULE BASE IN THE OPTIMIZATION OF TRAFFIC LIGHT CONTROL SYSTEM
... with fuzzy inference system which played the role of optimizing the traffic light control ...modified fuzzy rule based gave a superior average waiting time of ...the fuzzy ...
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A Novel Fuzzy Based DC–DC Boost Converter with Balanced Output & High Voltage Gain
... The fuzzy inference system combines fuzzy IF–THEN rules for mapping from fuzzy sets in the input space X to the output space Y based on fuzzy logic ...In fuzzy logic, ...
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Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian small medium enterprises based on strength
... of fuzzy systems: pure fuzzy systems, Mamdani type and Sugeno type fuzzy inference systems (Liu et ...Neuro-Fuzzy Inference System (ANFIS) is the first order Sugeno-type FNN ...
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Fuzzy Expert System for the Selection of Tourist Hotel
... the inference engine will access the fuzzy rule base of the fuzzy expert system to derive linguistic values for the intermediate as well as the output linguistic ...the inference ...
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Generation of Fuzzy Rules Based on Complex-valued Neuro-Fuzzy Learning Algorithm
... of fuzzy control, the practical applications of fuzzy inference have increased, and generations of fuzzy rules have become ...a fuzzy system model is designed, it is sometimes too hard ...
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Rainfall-runoff modelling of a watershed
... Neuro Fuzzy Inference System (ANFIS) is a fuzzy mapping algorithm that is based on Tagaki-Sugeno-Kang (TSK) fuzzy inference system (Jang et ...and fuzzy logic and have the ...
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TSK Inference with Sparse Rule Bases
... TSK fuzzy rule base was generated based on the given model first, by which the entire input domain is fully ...TSK rule base generation approach [19] was em- ployed to derive a normal TSK ...
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Online Full Text
... of fuzzy rule based inference system and Support Vector Machines (SVMs) is used to identify wells having production ...profiles. Based on the assumption that production profiles contain ...
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Fuzzy Expert System for the Selection of Effective Road to Travel
... the inference engine will accesses the fuzzy rule base of the fuzzy expert system to derive linguistic values for the intermediate as well as the output linguistic ...the inference ...
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Evaluation of Enterprise Performance Based on FLI-GA Model
... as fuzzy reasoning rules, namely, the fuzzy reasoning rules are instead by genetic manipulation of the genetic ...with Fuzzy logic inference model’s subjective and experiential reasoning ...
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Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... a fuzzy if–then rule base so that a desired input/output mapping is ...a fuzzy rule base has received more attention ...optimizing fuzzy reason- ing via NN structures [15]–[21]. ...
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Quaternion Neuro-Fuzzy Learning Algorithm for Fuzzy Rule Generation
... tuning fuzzy rules and its parameters by back propagation learning algorithm of neural networks ...each fuzzy inference rule under the simplified fuzzy inference method, can ...
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Fuzzy integral for rule aggregation in fuzzy inference systems
... Herein, we proposed and started to explore the NDFI and gFI extensions for rule aggregation in a FIS. We discussed how these extensions fit into existing FISs, reviewed efficient discrete algorithms and analyzed ...
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A Semantic Faceted Search with Rule-based Inference
... annotations based on Wiki markup [24] and shows the facts related to a ...and rule-based inference ...Jena’s inference engine towards performing our developed ...
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