type-1 fuzzy sets
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... 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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A Multi-Criteria Evaluation for Sustainable Supplier Selection Based on Fuzzy Sets*
... integrated fuzzy MCDM algorithm is implemented. At first, Fuzzy Analytical Hierarchy Process (FAHP) is used for obtaining the weights of the main criteria and related ...Then, fuzzy TOPSIS method is ...
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Extension of TOPICS for group DM based on the type two fuzzy positive and negative ideal solutions
... Table 1 shows the linguistic terms ”Very Low” (VL), ”low” (L), ” Medium Low” (ML), ”Medium” (M), ”Medium High” (MH),”High” (H), ”Very High” (VH), and their corresponding type-1 fuzzy ...
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Type-2 Fuzzy Sets Applied to Geodemographic Classification
... of fuzzy sets as originally specified by Zadeh (1965); characterised by crisp membership functions (Mendel and John, ...define fuzzy sets with fuzzy membership functions (Mendel and ...
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Interval type 2 fuzzy sets in supplier selection
... of fuzzy sets in both type-1 and interval type-2 membership ...interval type- 2 fuzzy sets are capable of handling linguistic uncertainty better than ...
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Type 2 fuzzy alpha cuts
... Type-2 fuzzy logic systems make use of type-2 fuzzy ...useful type-2 fuzzy logic applications we need to be able to perform meaningful operations on these ...However, ...
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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 ...
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Automatic Image Segmentation using Ultra Fuzziness
... as type I fuzzy sets, automatically the ultrafuzziness also tend to ...a type II fuzzy set, the ultrafuzziness is defined as γ for a M x N image subset Ã⊆ X with gray levels g ⊆ ...
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Anti-type of Hesitant Fuzzy Sets on UP-algebras
... P([0, 1]), a nonempty subset U + (H; ε) of A is a strongly UP-ideal of A, then H is an anti-hesitant fuzzy strongly UP-ideal of ...anti-hesitant fuzzy strongly UP-ideal of ...hesitant fuzzy ...
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New Operations over Interval Value Intuitionistic Fuzzy Sets of Cube Root Type
... 1965, Fuzzy sets theory was proposed by ...intuitionistic fuzzy sets (IFSs), as a generalization of fuzzy set were introduced by ...Intuitionistic Fuzzy Sets which is a ...
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Type – 2 Fuzzy Soft Sets and Decision Making
... The characteristic function A of a crisp set A⊆X assigns a value either 0 or 1 to each member in X. This function can be generalized to a function A such that the value assigned to the elements of the ...
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Empirical Fuzzy Sets
... Fuzzy sets (FSs) theory and the fuzzy rule-based (FRB) systems have been defined over 50 years ago in the seminal paper by Professor Lotfi Zadeh [1] and now matured ...of fuzzy systems ...
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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- plications for the ...
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SyFSeL: generating synthetic fuzzy sets made simple
... synthetic fuzzy sets with specified characteristics (including parametric, non- parametric) and fuzzy set type (type-1, interval/general-type- ...generated fuzzy ...
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Extending similarity measures of interval type 2 fuzzy sets to general type 2 fuzzy sets
... the sets increases and Bustince’s measure always gives a constant non- zero ...of sets A ˜ and D ˜ and of sets A ˜ and ...for sets A ˜ and B ˜ because this measure will always give ...
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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 ...
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Exploring Constrained Type 2 fuzzy sets
... of fuzzy sets (FS), intro- duced in 1965 by Zadeh [1], was the possibility of using them to build systems that could be designed in a way that was very close to human ...[0, 1], made the ...
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A comparative study of Level II fuzzy sets and Type II fuzzy sets
... all fuzzy subsets of X whose outer layer membership is nonzero while T : X O , 1 is called inner layer ...II fuzzy set can be treated as function from sets of fuzzy sets ...
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MUTANT FUZZY SETS
... For a non-empty set S, a function ∗ from S × S to S is called a binary operation on S, and the ordered pair (S, ∗) is called an algebraic structure. A semigroup is an algebraic structure consisting of a set together with ...
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Another Decomposition of Fuzzy Continuity
... of fuzzy continuous functions in the development of fuzzy ...of fuzzy continuity have been obtained by various authors with the help of generalized fuzzy continuous functions in fuzzy ...
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