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      Fuzzy Sets, Rough Sets, Multisets and Clustering için kapak resmi
      1. 
      Fuzzy Sets, Rough Sets, Multisets and Clustering
      by 
      Torra, Vicenç. editor.
      http://dx.doi.org/10.1007/978-3-319-47557-8
      Format: 
      Alıntı: 
      Fuzzy Sets, Rough Sets, Multisets and Clustering Torra, Vicenç. editor.
      Fuzzy logic models and fuzzy control : an introduction için kapak resmi
      2. 
      Fuzzy logic models and fuzzy control : an introduction
      by 
      Hooda, D. S., author.
      Click to View
      Format: 
      Alıntı: 
      Fuzzy sets.
      Optical Character Recognition Systems for Different Languages with Soft Computing için kapak resmi
      3. 
      Optical Character Recognition Systems for Different Languages with Soft Computing
      by 
      Chaudhuri, Arindam. author.
      http://dx.doi.org/10.1007/978-3-319-50252-6
      Format: 
      Alıntı: 
      systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genetic
      Type-2 Fuzzy Granular Models için kapak resmi
      4. 
      Type-2 Fuzzy Granular Models
      by 
      Sanchez, Mauricio A. author.
      http://dx.doi.org/10.1007/978-3-319-41288-7
      Format: 
      Alıntı: 
      -type information granules represented by Interval Type-2 Fuzzy Sets are also shown, via multiple approaches, such
      Claudio Moraga: A Passion for Multi-Valued Logic and Soft Computing için kapak resmi
      5. 
      Claudio Moraga: A Passion for Multi-Valued Logic and Soft Computing
      by 
      Seising, Rudolf. editor.
      http://dx.doi.org/10.1007/978-3-319-48317-7
      Format: 
      Alıntı: 
      Science: an Homage to Claudio Moraga -- Some reflections on the use of interval fuzzy sets for dealing
      Intuitionistic Fuzzy Logics için kapak resmi
      6. 
      Intuitionistic Fuzzy Logics
      by 
      T. Atanassov, Krassimir. author.
      http://dx.doi.org/10.1007/978-3-319-48953-7
      Format: 
      Alıntı: 
      -of-the-art applications of intuitionistic fuzzy sets. The book is a valuable reference resource for graduate students and
      Design of Interpretable Fuzzy Systems için kapak resmi
      7. 
      Design of Interpretable Fuzzy Systems
      by 
      Cpałka, Krzysztof. author.
      http://dx.doi.org/10.1007/978-3-319-52881-6
      Format: 
      Alıntı: 
      demonstrates how to eliminate various system components, such as inputs, rules and fuzzy sets, whose reduction
      Time-Series Prediction and Applications A Machine Intelligence Approach için kapak resmi
      8. 
      Time-Series Prediction and Applications A Machine Intelligence Approach
      by 
      Konar, Amit. author.
      http://dx.doi.org/10.1007/978-3-319-54597-4
      Format: 
      Alıntı: 
      Sets -- Handling Multiple Factors in the Antecedent of Type-2 Fuzzy Rules -- Learning Structures in an
      Granular Neural Networks, Pattern Recognition and Bioinformatics için kapak resmi
      9. 
      Granular Neural Networks, Pattern Recognition and Bioinformatics
      by 
      Pal, Sankar K. author.
      http://dx.doi.org/10.1007/978-3-319-57115-7
      Format: 
      Alıntı: 
      discusses the formation of granules in the notion of both fuzzy and rough sets. Judicious integration in
      A First Course in Fuzzy Logic, Fuzzy Dynamical Systems, and Biomathematics Theory and Applications için kapak resmi
      10. 
      A First Course in Fuzzy Logic, Fuzzy Dynamical Systems, and Biomathematics Theory and Applications
      by 
      de Barros, Laécio Carvalho. author.
      http://dx.doi.org/10.1007/978-3-662-53324-6
      Format: 
      Alıntı: 
      fuzzy sets and fuzzy dynamical systems. On the other, it demonstrates how these theories are used to
      Issues in the Use of Neural Networks in Information Retrieval için kapak resmi
      11. 
      Issues in the Use of Neural Networks in Information Retrieval
      by 
      Iatan, Iuliana F. author.
      http://dx.doi.org/10.1007/978-3-319-43871-9
      Format: 
      Alıntı: 
      based on alpha level sets and describes a recurrent fuzzy neural network model with a learning algorithm
      Quantitative Logic and Soft Computing 2016 Proceedings of the 4th International Conference on Quantitative Logic and Soft Computing (QLSC2016) held at Hangzhou, China, 14-17 October, 2016 için kapak resmi
      12. 
      Quantitative Logic and Soft Computing 2016 Proceedings of the 4th International Conference on Quantitative Logic and Soft Computing (QLSC2016) held at Hangzhou, China, 14-17 October, 2016
      by 
      Fan, Tai-He. editor.
      http://dx.doi.org/10.1007/978-3-319-46206-6
      Format: 
      Alıntı: 
      Quantification of Software; (3) Fuzzy Connectives and Fuzzy Reasoning; (4) Fuzzy Logical Algebras; (5) Artificial