Fuzzy reasoning
Finding Fuzzy Reasoning Path on Fuzzy Deduction Graph using Parallel CYK Algorithm on a PRAM model
... finding fuzzy reasoning path from source node to the destination ...A fuzzy reasoning path of length n can be finding out by building a pyramid of size n with base consisting of n+1 cell and ...
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The Suitable Two Kinds of Interval valued Fuzzy Metric Spaces for Interval valued Fuzzy Reasoning
... interval-valued fuzzy sets is presented. Four interval-valued fuzzy metric spaces respectively induced by four specific interval-valued implication operators are ...interval-valued fuzzy metric ...
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A Fuzzy Reasoning Technique for Pattern Recognition
... binary image of sixth sample of numeral class two and Fig.8 (b) shows its feature vector. The features vectors of unknown samples are compared with the KB feature vectors of all the classes. Depending on the feature ...
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AUTOMATIC MULTILEVEL IMAGE SEGMENTATION BASED ON FUZZY REASONING
... sup-star fuzzy reasoning, it combines the global statistical information implied in the 1-D or 2-D histogram with the local information represented by the fuzzy sets of gray-levels, and aggregates ...
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A Fuzzy Reasoning Method in Fault Diagnosis of House Transformer Simulating System
... A fuzzy way of fault diagnosis of house transformer in a Hydro-electricity simulating system is studied in this ...studied. Fuzzy theory is introduced into solving problems and technologies of fuzzy ...
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The Relationship between Fuzzy Reasoning and its Temporal Characteristics for Knowledge Management Systems
... The relationships and the analogy between expert and control system architectures are important problems for intelligent control (Passino, et. al. 1994). This is possible because both are problem solving systems with ...
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Fuzzy Expert Systems and Fuzzy Reasoning William Siler pdf
... of fuzzy mathematics is highly advanced; with the exception of fuzzy control systems, the theory behind fuzzy expert systems for other than numeric outputs is quite ill devel- ...the fuzzy ...
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LANGUAGE MODEL FOR DIGITAL RECOURSE OBJECTS RETRIEVAL
... for fuzzy reasoning when there is lacking knowledge or sparse fuzzy rule ...antecedent fuzzy sets, no rule included in classical fuzzy inference ...of fuzzy inference system and ...
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Precision Spraying System of Crops Disease Stress Based on Acoustic Emission
... provided fuzzy rules extraction ...and fuzzy reasoning synthesis method combining rules were ...position. Fuzzy control the output of your model for drug regulator of input, the ideal ...
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A t Norm Fuzzy Logic for Approximate Reasoning
... t-norm fuzzy logic is presented, in which a triangular norm (t-norm) plays the role of a graduated conjunction ...this fuzzy logic we de- velop methods for fuzzy reasoning in which antecedents ...
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SME DEVELOPMENT BASED ON INFORMATION AND COMMUNICATION TECHNOLOGY TO GLOBAL MARKET IN DISTRICT KENDAL
... Although ‘Intrusion’ is considered to be a bitter pill to swallow due to the havoc it unleashes on the cyber space, but it has become a household name to cyber-security experts because it appears to rebuff all possible ...
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ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL CLIMBING APPROACH
... on fuzzy set theory, in which propositions and inference rules involved are expressed as fuzzy sets and fuzzy relations and then calculate the output by synthesis from the new input and the known ...
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DESIGN, ANALYSIS AND OPTIMIZATION OF A MICROSTRIP PATCH ANTENNA AT FREQUENCY 3 55 GHZ FOR WIMAX APPLICATION
... presented Fuzzy reasoning algorithm supported by Fuzzy Petri ...the Fuzzy production rules in a knowledge based system, comprising with not only the graphical and structural ability of Petri ...
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Prediction Of Blood Sugar In People According To Such Inputs As Age, Simulation Level, Bmi, And Diet By Using Of Fuzzy Control And Adaptive Nero-Fuzzy Inference System(Anfis)
... a fuzzy system exists a knowledge base consisting of fuzzy if-then ...a fuzzy system is obtaining a collection of fuzzy if-then regulations of the knowledge of experts or the area under ...
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Diabetes Diagnosis by Case-Based Reasoning and Fuzzy Logic
... our Fuzzy Inference Mechanism with decision tree and k-nearest ...our Fuzzy Inference Mechanism ...Furthermore, fuzzy reasoning combined with data mining for retrieval presents several ...
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Online Full Text
... random fuzzy mean-variance portfolio selection problem using a fuzzy reasoning method, particularly a single input type fuzzy reasoning ...random fuzzy variable whose mean is ...
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An Application of the Generalized Rectangular Fuzzy Assessment Model to the van Hiele Level Theory of Geometric Reasoning
... [14] fuzzy model for the process of learning a subject matter in the classroom, adapted the COG technique for use as an assessment method of student learning ...Rectangular Fuzzy Assessment Model (RFAM), ...
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fuzzy logic reasoning with uncertain information IT Magazine Jan 2002
... well understood by humans. For example, infant, young, adult and old are linguistic variables, each of which can be modelled by a fuzzy proposition. The degree of truth of these propositions would depend on the ...
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Individual Classification: an Ontological Fuzzy Based Approach
... supports fuzzy OWL2. Based on Zadeh Semantics, it represents fuzzy operators and reduces the resulting fuzzy Z SROIQ knowledge base to a crisp one by creating new crisp concepts and roles ...
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A Fuzzy Classifier based on Product and Sum Aggregation Reasoning Rule
... mapping D S : N C optimal in the sense of a certain criterion δ (D) that determines the classifier performance [2]. Usually, the final goal is to design a classifier that assigns class labels with the smallest possible ...
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