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Aggregation Operators for Various Extensions of Fuzzy Set and Its Applications i

discusses the limitations and drawbacks of (1) recently proposed aggregation operators under the fuzzy environment and its various extensions; (2;

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Aggregation Operators for Various Extensions of Fuzzy Set and Its Applications i

discusses the limitations and drawbacks of (1) recently proposed aggregation operators under the fuzzy environment and its various extensions; (2;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe;

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Recent Developments in the Ordered Weighted Averaging Operators

wide variety of problems in various fields of science and technology. Part I: Methods includes papers on theoretical foundations of OWA;

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Interval-Valued Methods in Classifications and Decisions

community working on fuzzy sets and their extensions but also for researchers and practitioners dealing with the problems of uncertain or imperfect;

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Fuzzy Set and Its Extension

Fuzzy Set and Its Extension: The Intuitionistic Fuzzy Set is an ideal text for graduate and research students, as well as professionals;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and;

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Extension of the Fuzzy Sugeno Integral Based on Generalized Type-2 Fuzzy Logic

fuzzy logic. This extension enables it to handle higher levels of uncertainty when adding any number of sources and types of information in a;

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Modeling Decisions for Artificial Intelligence

fusion (aggregation operators) and their applications to AI, the papers are organized in topical sections on aggregation operators, fuzzy;

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Hesitant Fuzzy Set

blossoming of a larger set of techniques and theoretical outcomes for hesitant fuzzy set together with its extensions as well as applications.As the;

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Several Intuitionistic Fuzzy Multi-Attribute Decision Making Methods and Their Applications

-making methods, most of which are based on intuitionistic fuzzy aggregation operators, its goal is to offer readers a new way to study decision;

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Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques

application of intuitionistic fuzzy and Type II fuzzy set theories for medical image analysis. Designed for graduate and doctorate students, this;

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Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques

application of intuitionistic fuzzy and Type II fuzzy set theories for medical image analysis. Designed for graduate and doctorate students, this;

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Aggregation Functions in Theory and in Practice

condition. In particular settings these conditions are relaxed. Aggregation functions are used for data fusion and decision making. Examples;

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Several Intuitionistic Fuzzy Multi Attribute Decision Making Methods and Their A

-making methods, most of which are based on intuitionistic fuzzy aggregation operators, its goal is to offer readers a new way to study decision;

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Information Processing and Management of Uncertainty

set; intelligent databases and information systems; theory of evidence; aggregation functions; big data - the role of fuzzy methods; imprecise;

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Advances in Fuzzy Group Decision Making

posterior-aggregation - and highlights how imperative collaboration amongst decision makers is for both forms. Advances in Fuzzy Group;

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Neoclassical Analysis

continuity, and fuzzy derivatives. For example, continuous functions, which are studied in the classical analysis, become a part of the set of the;

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Nonlinear Integrals And Their Applications In Data Mining

that fuzzy data can be treated and fuzzy information is retrievable.The book is suitable as a text for graduate courses in mathematics;

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Fuzzy Set Theory

techniques and model-testing. Key Features: Addresses Basic Concepts: Fuzzy set theory is an analytic framework for handling concepts;

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Fuzzy Sets & their Application to Clustering & Training

Fuzzy set theory - and its underlying fuzzy logic - represents one of the most significant scientific and cultural paradigms to emerge;

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Defects Of Properties In Mathematics

and studies new ones, such as: measures of noncompactness for fuzzy sets; fuzzy and intuitionistic entropies; the defect of (sub, super;

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Fuzzy Set Theory-and Its Applications

This introduction to fuzzy set theory and its multitude of applications seeks to balance the character of the book with the dynamic nature;

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Fuzzy Set Theory-And Its Applications

This introduction to fuzzy set theory and its multitude of applications seeks to balance the character of the book with the dynamic nature;

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Fuzzy Set Theory and Advanced Mathematical Applications

book supplies a readable, practical toolkit with a clear introduction to fuzzy set theory and its evolution in mathematics and new results on;

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