Results 21 to 30 of about 15,532 (286)
Dealing with non-metric dissimilarities in fuzzy central clustering algorithms [PDF]
, 2008 Clustering is the problem of grouping objects on the basis of a similarity measure among them. Relational clustering methods can be employed when a feature-based representation of the objects is not available, and their description is given in terms of ...
Filippone, Maurizio +2 more
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Fuzzy probability space and extension theorem
Journal of Mathematical Analysis and Applications, 1986 This paper deals with fundamental mathematical theory of fuzzy probability. As classical measure theory, fuzzy algebra, fuzzy \(\sigma\)- algebra and fuzzy probability, whose \(\sigma\)-additivity is characterized by the countable uncoincident fuzzy events and the operation \(\oplus\), are introduced.
Cheng, Shaozhong, Liu, Dsosu
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Some New Aspects in the Intuitionistic Fuzzy and Neutrosophic Fixed Point Theory
Journal of Function Spaces, 2022 In this manuscript, we use the concepts of continuous t-norms and continuous t-conorms to introduce some definitions, in which intuitionistic fuzzy rectangular metric spaces, intuitionistic fuzzy rectangular metric-like spaces, intuitionistic fuzzy ...
Aftab Hussain +2 more
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Complexity, 2021 The probabilistic hesitant fuzzy set (PHFS) is a worthwhile extension of the hesitant fuzzy set (HFS) which allows people to improve their quantitative assessment with the corresponding probability.
Bahram Farhadinia, Atefeh Taghavi
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Fuzzy stochastic damage mechanics (FSDM) based on fuzzy auto-adaptive control theory
Water Science and Engineering, 2012 In order to fully interpret and describe damage mechanics, the origin and development of fuzzy stochastic damage mechanics were introduced based on the analysis of the harmony of damage, probability, and fuzzy membership in the interval of [0,1].
Ya-jun Wang +3 more
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Random Fuzzy Clustering Granular Hyperplane Classifier
IEEE Access, 2020 Granular computing is a method of studying human intelligent information processing, which has advantage of knowledge discovery. In this paper, we convert a classification problem of sample space into a classification problem of fuzzy clustering granular
Wei Li +5 more
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An Uniformly Minimum Variance Unbiased Point Estimator Using Fuzzy Observations
Austrian Journal of Statistics, 2016 This paper proposes a new method for uniformly minimum variance unbiased fuzzy point estimation. For this purpose we make use of a uniformly minimum variance unbiased estimator and we develop this new method for a fuzzy random sample ~X1,...,~Xn is ...
Mohammad Ghasem Akbari +1 more
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Sum of observables in fuzzy quantum spaces [PDF]
, 1992 summary:We introduce the sum of observables in fuzzy quantum spaces which generalize the Kolmogorov probability space using the ideas of fuzzy set ...
Tirpáková, Anna +1 more
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Logical Entropy of Fuzzy Dynamical Systems
Entropy, 2016 Recently the logical entropy was suggested by D. Ellerman (2013) as a new information measure. The present paper deals with studying logical entropy and logical mutual information and their properties in a fuzzy probability space.
Dagmar Markechová, Beloslav Riečan
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, 2009 Let Q be a given n×n square symmetric matrix of nonnegative elements between 0 and 1, similarities. Fuzzy clustering results in fuzzy assignment of individuals to K clusters.
Braak, C.J.F., ter +3 more
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