Results 101 to 110 of about 5,420 (137)
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Kernel intuitionistic fuzzy c-means and state transition algorithm for clustering problem
Soft Computing, 2020Clustering problems widely exist in machine learning, pattern recognition, image analysis and information sciences, etc. Although many clustering algorithms have been proposed, it is unpractical to find a clustering algorithm suitable for all types of datasets.
Xiaojun Zhou +4 more
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A note on “Quotient structures of intuitionistic fuzzy finite state machines”
Journal of Applied Mathematics and Computing, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shamsizadeh, M., Zahedi, M. M.
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Similarity measures for intuitionistic fuzzy sets: State of the art
Journal of Intelligent & Fuzzy Systems, 2013Intuitionistic fuzzy sets gained attention of many researchers and are employed in many axes of research. Thus, different operators are given to deal with intuitionistic fuzzy sets, among them similarity measures. The latter are the object of many propositions and discussions.
Baccour, Leila +2 more
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Journal of Discrete Mathematical Sciences and Cryptography, 2021
An extensive study is performed on the already constituted algebraic structure called the implication-based intuitionistic fuzzy semiautomaton (IB-IFSA) over a finite group that compromises of impl...
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An extensive study is performed on the already constituted algebraic structure called the implication-based intuitionistic fuzzy semiautomaton (IB-IFSA) over a finite group that compromises of impl...
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Intuitionistic fuzzy finite state machines
Journal of Applied Mathematics and Computing, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Intuitionistic fuzzy finite switchboard state machines
Journal of Applied Mathematics and Computing, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Quotient structures of intuitionistic fuzzy finite state machines
Information Sciences, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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International Journal of Fuzzy Systems, 2016
Fuzzy sets extend deterministic multi-criteria decision-making (MCDM) methods to deal with uncertainty and imprecision in decision making. Over the years, many generalizations have been proposed to the classical Fuzzy sets to deal with different kinds of imprecise and subjective data. One such generalization is Atanassov’s Intuitionistic Fuzzy Set (IFS)
Afful-Dadzie, Eric +2 more
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Fuzzy sets extend deterministic multi-criteria decision-making (MCDM) methods to deal with uncertainty and imprecision in decision making. Over the years, many generalizations have been proposed to the classical Fuzzy sets to deal with different kinds of imprecise and subjective data. One such generalization is Atanassov’s Intuitionistic Fuzzy Set (IFS)
Afful-Dadzie, Eric +2 more
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Individual ergodic theorem for intuitionistic fuzzy observables using intuitionistic fuzzy state
2020The classical ergodic theory hasbeen built on σ-algebras. Later the Individual ergodictheorem was studied on more general structures like MV-algebrasand quantum structures. The aim of this paper is to formulate theIndividual ergodic theorem for intuitionistic fuzzy observablesusing m-almost everywhere convergence, where m is anintuitionistic fuzzy ...
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2013
In this paper, relations among the membership values of gener- alized fuzzy languages such as intuitionistic fuzzy language, interval-valued fuzzy language and vague language are studied. It will aid in studying the properties of one language when the properties of another are known.
Choubey, Alka, Ravi, K. M.
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In this paper, relations among the membership values of gener- alized fuzzy languages such as intuitionistic fuzzy language, interval-valued fuzzy language and vague language are studied. It will aid in studying the properties of one language when the properties of another are known.
Choubey, Alka, Ravi, K. M.
openaire +1 more source