Fuzzy Sets
Approximate Equalities on Rough Intuitionistic Fuzzy Sets and an Analysis of Approximate Equalities
... intuitionistic fuzzy sets instead of rough fuzzy sets considered in [15] in defining approximate ...intuitionistic fuzzy sets instead of fuzzy ...intuitionistic ...
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SOME PROPERTIES OF (α,β)- CUTS FORINTUITIONISTIC FUZZY SETS
... Intuitionistic Fuzzy Sets Theory, Fiability& Durability 1/β014, Editura “ AcademicaBrâncuşi”, Târgu Jiu, ISSN 1844-640X, ...A., Fuzzy sets, Information and Control, ...Intuitionistic ...
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ESTIMATION OF A COMPANY CREDIT STATUS BASED ON THE FIVE-FACTOR “ALTMAN” MODEL USING FUZZY SETS AND SIMULATION
... In this article we propose a method that uses the apparatus of the theory of fuzzy sets, together with the five-factor model of Altman in assessing the creditworthiness of an enterprise. Altman's model ...
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Soft sets combined with interval valued intuitionistic fuzzy sets of type-2 and rough sets
... Abstract: Fuzzy set theory, rough set theory and soft set theory are all mathematical tools dealing with ...type-2 fuzzy sets was introduced by Zadeh in 1975 which was extended to interval valued ...
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ESTIMATE OF THE WEIGHT OF JAPANESE QUAIL EGGS THROUGH FUZZY SETS THEORY
... on fuzzy set theory to predict the weight of eggs from Japanese ...proposed fuzzy model was based on data from field measurement experiments, as well as from literature referring to the influence of ...
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Soft Interval-Valued Neutrosophic Rough Sets
... combine fuzzy sets, rough sets, and soft sets all together, which gives rise to several interesting new concepts such as rough soft sets, soft rough sets, and soft rough ...
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Fuzzy Classification in the Determination of Input Application Zones
... a fuzzy classification methodology in an effort to define input application zones in three conilon coffee ...output fuzzy sets were created and applied, as well as rules of inference and ...
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Rev. Saúde Pública vol.36 número6
... a fuzzy expression composed by one or more fuzzy sets connected by fuzzy operators, and consequent is an expression that assigns fuzzy values to the output ...output fuzzy set ...
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Pesqui. Oper. vol.34 número1
... Type-2 Fuzzy Sets (IT2FS) seem to be an ap- propriate representation of this uncertainty, so we propose its use to deal with the perception of multiple experts who define the constraints of an FLP ...
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J. Braz. Comp. Soc. vol.6 número3
... When one considers a methodological framework of GIS knowledge management for land use based on fuzzy sets theory, the most appropriate form of discussion is not detailed consideration, but rather ...
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Neutrosophic Correlation and Simple Linear Regression
... of fuzzy sets. Fuzzy set is very much useful and in this one real value A ( x ) [ 0 , 1 ] is used to represent the grade of membership of a fuzzy set A defined on the crisp set ...of ...
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Fuzzy-rough set and fuzzy ID3 decision approaches to knowledge discovery in datasets
... normal fuzzy sets produced by a fuzzy partitioning of the universe of discourse can play the role of fuzzy equivalence classes ...degenerated fuzzy sets, with those elements ...
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Lean, Agile, Resilient and Green Supply Chain Management Interoperability Assessment Methodology
... and Fuzzy sets as support decision making models, ensuring a systematic approach to the analysis of interoperability with appropriate criteria for assessment of situations that require high levels of ...
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A new approach for the sequence spaces of fuzzy level sets with the partial metric
... level sets comes from not only their required memory capacity for fuzzy sets, but also their two valued ...the fuzzy-inference algorithm based on the families of the level ...of fuzzy ...
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Neutrosophic Parameterized Soft Relations and Their Applications
... Neutrosophic set theory was introduced in 1995 with the study of Smarandache [21] as mathematical tool for han- dling problem involving imprecise, indeterminacy and in- consistent data. The concept of neutrosophic set ...
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Fuzzy logic interpretations in categories of fuzzy objects
... introduced fuzzy sets, he regarded these new objects as crisp sets with membership degree in interval [0 , ...for fuzzy logic with truth values in unit interval. The basic idea of fuzzy ...
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Vague BCK/BCI-algebras
... In this section, we present now some preliminaries on the theory of vague sets (VS). In his pioneer work [10], Zadeh proposed the theory of fuzzy sets. Since then it has been applied in wide ...
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Fuzzy obesity index (MAFOI) for obesity evaluation and bariatric surgery indication
... hira-Araujo Fuzzy Obesity ...The fuzzy sets that part such an output universe of discourse are assigned the linguistic terms thin (TH), muscular hyper- trophy (MUH), excess of weight (EW), sumotori ...
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Green's Relations in Ordered Gamma-Semigroups in Terms of Fuzzy Subsets
... of fuzzy sets by Zadeh [20], several researches were conducted on the gener- alizations of the notion of fuzzy set and application to many algebraic structures such as: In 1971, Rosenfeld [15] was ...
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Fuzzy Rule Base System for Software Classification
... the fuzzy system; this configuration supports fuzzy sets, fuzzy rules and definition of OO ...metrics. Fuzzy Diagnose use case basically processes all the fuzzy ...
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