Interval-valued intuitionistic fuzzy sets / by Krassimir T. Atanassov
By: Atanassov, Krassimir T., autor
Series: (Studies in Fuzziness and Soft Computing, 1434-9922; 388); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Cham : Springer International Publishing, 2020Edition: First edition.Description: 1 recurso en línea (XI, 200 páginas) : 69 ilustraciones, 1 ilustraciones a color.ISBN: 9783030320904.Subject: Conjuntos difusos | Conjuntos, Teoría de | ÁlgebraOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA248.5 2020 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook07112081 |
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| QA248.5 2019 EB Uncertainty Data in Interval-Valued Fuzzy Set Theory : Properties, Algorithms and Applications | QA248.5 2019 EB Fuzzy Linear Programming : Solution Techniques and Applications | QA248.5 2019 EB Fuzzy Sets and Operations Research | QA248.5 2020 EB Interval-valued intuitionistic fuzzy sets | QA248.5 2020 EB Fuzzy collaborative forecasting and clustering : methodology, system architecture, and applications | QA248.5 2020 EB Fuzzy Transportation and Transshipment Problems | QA248.5 2020 EB Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets |
On Brouwer's Intuitionism and Intuitionistic Fuzziness -- On IVIFSs -- Relations and operations over IVIFSs -- Operators over IVIFSs -- Interval valued intuitionistic fuzzy pairs -- Applications of IVIFSs -- Conclusion and remarks on future research.
The book offers a comprehensive survey of interval-valued intuitionistic fuzzy sets. It reports on cutting-edge research carried out by the founder of the intuitionistic fuzzy sets, Prof. Krassimir Atanassov, giving a special emphasis to the practical applications of this extension. A few interesting case studies, such as in the area of data mining, decision making and pattern recognition, among others, are discussed in detail. The book offers the first comprehensive guide on interval-valued intuitionistic fuzzy sets. By providing the readers with a thorough survey and important practical details, it is expected to support them in carrying out applied research and to encourage them to test the theory behind the sets for new advanced applications. The book is a valuable reference resource for graduate students and researchers alike.
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