type-2 fuzzy sets
Type-2 Fuzzy Sets Applied to Geodemographic Classification
... all type-1 fuzzy memberships are shown plotted against the values of m which yielded ...convenience type-2 fuzzy sets can be summarised by taking appropriate summary statistics ...
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The Derivation of Interval Type-2 Fuzzy Sets and Systems on Continuous Domain: Theory and Applications to Heart Diseases
... interval type-2 fuzzy sets (IT2 FSs) in a type-2 fuzzy logic system (T2 FLS) because of the computational complexity of using a general T2 FS, the result being an interval ...
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Hemodynamic Analysis for Cognitive Load Assessment and Classification in Motor Learning Tasks Using Type-2 Fuzzy Sets
... classification. Fuzzy classifier comes into play when the degree of fluctuations is relatively ...the fuzzy encoders (fuzzifiers) [42] reduces the wider fluctuation of the feature space into narrower range ...
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Exploring the use of Type 2 fuzzy sets in multi criteria decision making based on TOPSIS
... of Type-2 Fuzzy Sets (T2FS), to date, the additional information provided by T2FSs in TOPSIS has been largely ignored since the final output, the Closeness Coefficient (CC), has remained a ...
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Interval type 2 fuzzy sets in supplier selection
... of fuzzy logic in type-2 fuzzy ...using type-2 TOPSIS ...interval type-2 fuzzy sets in order to deal with fuzzy multiple attributes group ...
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MULTI-CRITERIA GROUP DECISION-MAKING USING AN EXTENDED EDAS METHOD WITH INTERVAL TYPE-2 FUZZY SETS
... Type-1 fuzzy sets are effi cient in modeling the multi-criteria decision-making problems and have many applications for extending MCDM methods in an uncertain ...process. Type-2 ...
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Exploring Constrained Type 2 fuzzy sets
... of Type-2 fuzzy sets added the possibility of expressing uncertainty even on the definition of the membership ...functions. Type-2 sets, however, don’t pose any ...
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Extending similarity measures of interval type 2 fuzzy sets to general type 2 fuzzy sets
... about fuzzy sets. While many types of similarity measures exist for type-1 and interval type-2 fuzzy sets, there are very few similarity measures that enable the ...
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From interval valued data to general type 2 fuzzy sets
... 1) Modelling one or more crisp intervals from multiple sources: In order to capture the intra-source uncertainty (vari- ation and agreement) between multiple sources, all individual- source based T1 FS models can be ...
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Online Full Text
... the fuzzy systems and control are regarded as the most widely used application of fuzzy logic system [8-11, 20, 23, 26, 31, ...traditional fuzzy system models, the structure is characterized by using ...
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Adaptive Interval Type-2 Fuzzy Inference System for Facial Expression Recognition
... Recently, type-2 fuzzy sets have been successfully applied in many real-world applications ...used type-2 fuzzy sets for facial expression recognition ap- ...
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Performance Improvement in Fault Diagnosis using Fuzzy Logic Type-2 Classifier
... This fuzzy set for classification can be obtained from the experts or by the analysis of plant data ...particular fuzzy set designed for a range of values for a specific attribute, based on their past ...
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Extension of TOPICS for group DM based on the type two fuzzy positive and negative ideal solutions
... interval-valued fuzzy sets. Chen and Lee [3] developed TOPSIS for fuzzy multiple attributes group decision making based on the interval type-2 fuzzy ...the type-2 ...
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Type 2 fuzzy elliptic membership functions for modeling uncertainty
... [1]. Fuzzy logic owes its exceptional scientific reputation to its unique ability to simultaneously deal with uncertainties in the system and use the expert knowledge as an input to the fuzzy system ...of ...
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General Type 2 Fuzzy Topological Spaces
... of type-2 fuzzy sets and type-2 fuzzy set operation on it was ...in type-2 fuzzy sets with the structural properties such as open sets, ...
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Type-2 Fuzzy Soft Set with Distance Measure
... A type-2 fuzzy set is characterized by a fuzzy membership function, which can provide us with more degrees of freedom to represent the uncertainty and vagueness of the real ...The ...
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Type-2 Fuzzy Soft Sets on Fuzzy Decision Making Problems
... of type-2 fuzzy set was introduced by Zadeh [8] in 1975. Type-2 fuzzy sets can improve certain kinds of inference better than do fuzzy sets with increasing ...
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A Multi-Criteria Evaluation for Sustainable Supplier Selection Based on Fuzzy Sets*
... integrated fuzzy multi-criteria evaluation fremework SSS in the context of ...Then, fuzzy TOPSIS method is performed to rank potential suppliers both type-1 fuzzy sets and ...
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Development of Fuzzy Type-2 Reliability Models for Power System Reliability Evaluation Problems and Preventive Maintenance Suggestions
... of fuzzy set theory is basically utilizing the type-1 fuzzy sets, where the fuzzy membership is assumed as point-wise positive function ranging on ...The type-2 ...
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A New Clustering Method Based On Type-2 Fuzzy Similarity and Inclusion Measures
... interval type-2 fuzzy sets have been presented in ...general type-2 fuzzy sets were presented ...between type-2 fuzzy sets by using ...
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