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On a Categorical Generalization of the Concept of Fuzzy Set is een boek van Sergejs Solovjovs;
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Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret;
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introduction to fuzzy set theory, focusing on its applicability to the social sciences. Unlike most books on this topic, Fuzzy Set Theory: Applications;
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This book reports on advanced concepts in fuzzy graph theory, showing a set of tools that can be successfully applied to understanding and;
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Covering a wide range of notions concerning hesitant fuzzy set and its extensions, this book provides a comprehensive reference to the;
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concept of evolving a fuzzy set and fuzzy set operations, fuzzification rule base design and defuzzification and simple guidelines for fuzzy sets;
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discussed concept. An authoritative, self-contained, and inspiring read on the theory and modern applications of fuzzy graphs, this book is of value;
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of fuzzy social choice theory. The book explains the concept of a fuzzy maximal subset of a set of alternatives, fuzzy choice functions, the;
Vergelijkbare producten zoals Application of Fuzzy Logic to Social Choice Theory
of fuzzy social choice theory. The book explains the concept of a fuzzy maximal subset of a set of alternatives, fuzzy choice functions, the;
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on the topic-and their book covers essential questions, including notions and fundamental concepts of fuzzy sets, models and methods;
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In 1965, L.A. Zadeh introduced the concept of Fuzzy Set as an attempt to mathematically handle those situations which are inherently vogue;
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, namely, a paper on the development of fuzzy sets and another paper on some fuzzy versions of set theory and arithmetic. Articles in the;
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solution; that is the use of the concept of fuzzy logic and fuzzy set models. In using the fuzzy set models, it is applicable to manipulate certain;
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Provides detailed mathematical exposition of the fundamentals of fuzzy set theory, including intuitionistic fuzzy sets This book;
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fuzzy set has been introduced by L. A. , Zadeh in 1965 in order to formalize human concepts, in connection with the representation of human;
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In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation;
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the membership value (x) in a fuzzy set or in an intuitionistic fuzzy set or in any such soft computing set model or in a crisp set. A new;
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aforementioned fields - fuzzy systems, rough sets and ensemble techniques. As the trained ensemble should represent a single hypothesis, a lot;
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, relating these concepts to control engineering based on the analogy between the Laplace transfer function of linear systems and the fuzzy;
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set-that represent uncertainty in a better way. Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques deals with the;
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set-that represent uncertainty in a better way. Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques deals with the;
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Near Rings, Fuzzy Ideals, and Graph Theory explores the relationship between near rings and fuzzy sets and between near rings and graph;
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Near Rings, Fuzzy Ideals, and Graph Theory explores the relationship between near rings and fuzzy sets and between near rings and graph;
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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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, interval-valued intuitionistic fuzzy sets, vague sets and bipolar fuzzy sets. The book offers a valuable resource for students and researchers;
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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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