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Fuzzy Set Theory — and Its Applications

Skip to main content Skip to table of contents. Advertisement Hide. This service is more advanced with JavaScript available. Fuzzy Sets Theory and Applications. Front Matter Pages i-xii.

Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Similarity Measures of Spherical Fuzzy Sets Based on Cosine Function and Their Applications Abstract: In this paper, we defined ten similarity measures between spherical fuzzy sets SFSs based on the cosine function by considering the degree of positive-membership, degree of neutral-membership, degree of non-membership and degree of refusual-membership in SFSs. Then, we applied these similarity measures and weighted similarity measures between SFSs to pattern recognition and medical diagnosis. Finally, two illustrative examples are designed to show the efficiency of the similarity measures for pattern recognition and medical diagnosis. Article :.

The proposed solution demonstrates applying several fuzzy multi-criteria decision making algorithms along with discussion over specific input data requirements. Angelova, V. Investigations in the Ares of Soft Computing. Targeted State of the Art Report. Atanassova, V.

Fuzzy Sets Theory and Applications

Since its launching in , the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including and not restricted to aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies. In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods.

Skip to main content Skip to table of contents. Advertisement Hide. This service is more advanced with JavaScript available. Fuzzy Set Theory — and Its Applications. Authors H. Front Matter Pages i-xxi. Introduction to Fuzzy Sets.


Table of contents · Front Matter Pages i-xii PDF · Some theoretical aspects Front Matter Pages PDF Mathematics and Fuzziness · From theory to applications.


FUZZY SETS AND FUZZY LOGIC, THEORY AND APPLICATIONS

Skip to main content Skip to table of contents. Advertisement Hide. This service is more advanced with JavaScript available. Fuzzy Sets Theory and Applications. Additional vagueness is introduced as models become more complex but not necessarily more meaningful by the added details.

Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Application of type-2 fuzzy logic to healthcare literature search at point of care Abstract: The biomedical field publishes a huge volume of articles every year and most of them are now available online as PDF full-texts.

Fuzzy Set Theory and Its Applications

In mathematics , fuzzy sets a. Fuzzy sets were introduced independently by Lotfi A. In classical set theory , the membership of elements in a set is assessed in binary terms according to a bivalent condition — an element either belongs or does not belong to the set.

Fuzzy Set Theory — and Its Applications

ISSN Fuzzy Sets and Fuzzy Logic is a true magnum opus. An enlargement of Fuzzy Sets, Uncertainty, and Information—an earlier work of Professor Klir and Tina Folger—Fuzzy Sets and Fuzzy Logic addresses practically every significant topic in the broad expanse of the union of fuzzy set theory and fuzzy logic. To me Fuzzy Sets and Fuzzy Logic is a remarkable achievement; it covers its vast territory with impeccable authority, deep insight and a meticulous attention to detail. To view Fuzzy Sets and Fuzzy Logic in a proper perspective, it is necessary to clarify a point of semantics which relates to the meanings of fuzzy sets and fuzzy logic. A frequent source of misunderstanding fias to do with the interpretation of fuzzy logic.

Skip to main content Skip to table of contents. Advertisement Hide. This service is more advanced with JavaScript available. Fuzzy Set Theory — and Its Applications. Authors H. About About this book Chapters Table of contents 15 chapters Reviews Reviews About this book Introduction Since its inception 20 years ago the theory of fuzzy sets has advanced in a variety of ways and in many disciplines.


Since its inception 20 years ago the theory of fuzzy sets has advanced in a variety of ways Applications of Fuzzy Set Theory. Front Matter. Pages PDF.


About this book

Manuscripts submitted to the IJFS must be original unpublished work and should not be in consideration for publication elsewhere. Toggle navigation. Articles in Press Current Issue. Journal Archive. Volume 18 Issue 2. Issue 1.

Fuzzy Set Theory and Its Applications

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3 Comments

  1. Oriel P. 03.05.2021 at 07:10

    Possibility vs. Probability. Part II: Applications of Fuzzy Set Theory. 9. Fuzzy Logic and Approximate Reasoning. Linguistic Variables.

  2. Steve L. 06.05.2021 at 02:55

    In chapter 2, the basic definition of a fuzzy set was given and the original set-​theoretic operations were discussed. The membership space was.

  3. Robert R. 07.05.2021 at 16:46

    notions of fuzzy set and rough set, which model imprecise statements. Classical Sets. Classical sets are also called crisp (sets).We.