Results 11 to 20 of about 7,907,549 (300)
Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]
, 2007 [2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen +5 more
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A sufficient condition for null controllability of nonlinear control systems [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2009 Classical control methods such as Pontryagin Maximum Principle and Bang-Bang Principle and other methods are not usually useful for solving opti-mal control systems (OCS) specially optimal control of nonlinear systems (OCNS).
A. Heydari, A.V. Kamyad
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A measure of consistency for fuzzy logic theories
Mathematical Methods in the Applied Sciences, 2021 Fuzzy logic has shown to be a suitable framework to handle contradictions in which, unsurprisingly, the notion of inconsistency can be defined in different ways. This paper starts with a short survey of different ways to define the notion of inconsistency in fuzzy logic systems.
Nicolás Madrid, Manuel Ojeda‐Aciego
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Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation [PDF]
, 2003 This paper identifies a generic axiom framework for prioritised fuzzy constraint satisfaction problems (PFCSPs), and proposes methods to instantiate it (i.e., to construct specific schemes which obey the generic axiom framework).
Luo, X. +14 more
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Similarity -Based Pattern Recognition for Disease Symptom Extraction and Characterization [PDF]
Neutrosophic Sets and SystemsNeutrosophic Fuzzy Sets (NFS) expand upon classical fuzzy sets in the field of fuzzy set theory by including measures of truth, indeterminacy, and falsity.
Priya Mathews +2 more
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A Theory for Measuring the Preference of Fuzzy Numbers
2020 IEEE 20th International Symposium on Computational Intelligence and Informatics (CINTI), 2020 Here, sigmoid function-based preference measures for intervals and fuzzy numbers are introduced, and their main properties are outlined. Also, formulas for the numerical computation of the proposed preference measures are presented. Next, it is demonstrated that the proposed preference measures for intervals and fuzzy numbers are asymptotically the ...
Dombi József, Jónás Tamás
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On Intuitionistic Fuzzy Entropy of Order-α
Advances in Fuzzy Systems, 2014 Using the idea of Rènyi’s entropy, intuitionistic fuzzy entropy of order-α is proposed in the setting of intuitionistic fuzzy sets theory. This measure is a generalized version of fuzzy entropy of order-α proposed by Bhandari and Pal and intuitionistic ...
Rajkumar Verma, BhuDev Sharma
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A random set and prototype theory interpretation of intuitionistic fuzzy sets [PDF]
, 2010 An interpretation of intuitionistic fuzzy sets is proposed based on random set theory and prototype theory. The extension of fuzzy labels are modelled by lower and upper random set neighbourhoods, identifying those element of the universe within an ...
Lawry, Jonathan, Jonathan Lawry
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New Similarity Measures of Pythagorean Fuzzy Sets and Their Applications
IEEE Access, 2019 Similarity measure, as a tool to measure the similarity degree between two objects, is an important research content in fuzzy set theory. Pythagorean fuzzy set, as a new extension of fuzzy set theory, has been widely used in various fields.
Qiang Zhang +4 more
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Distance Measures Based on Metric Information Matrix for Atanassov’s Intuitionistic Fuzzy Sets
Axioms, 2023 The metric matrix theory is an important research object of metric measure geometry and it can be used to characterize the geometric structure of a set. For intuitionistic fuzzy sets (IFS), we defined metric information matrices (MIM) of IFS by using the
Wenjuan Ren, Zhanpeng Yang, Xipeng Li
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