Results 41 to 50 of about 1,141,336 (343)
Median evidential c-means algorithm and its application to community detection [PDF]
, 2015 Median clustering is of great value for partitioning relational data. In this paper, a new prototype-based clustering method, called Median Evidential C-Means (MECM), which is an extension of median c-means and median fuzzy c-means on the theoretical ...
Liu, Zhun-Ga +3 more
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InformationAnalyzing the uncertainty of outcomes based on estimates of the data’s membership degrees to fuzzy sets is essential for making decisions. These fuzzy sets are often designated by experts as strong fuzzy partitions of the data domain with trapezoidal ...
Barbara Cardone, Ferdinando Di Martino
doaj +1 more source
An outlier–robust neuro–fuzzy system for classification and regression
International Journal of Applied Mathematics and Computer Science, 2021 Real life data often suffer from non-informative objects—outliers. These are objects that are not typical in a dataset and can significantly decline the efficacy of fuzzy models.
Siminski Krzysztof
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Semantic Information G Theory and Logical Bayesian Inference for Machine Learning [PDF]
, 2019 An important problem with machine learning is that when label number n\u3e2, it is very difficult to construct and optimize a group of learning functions, and we wish that optimized learning functions are still useful when prior distribution P(x) (where ...
Lu, Chenguang
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
Fuzzy clustering of fuzzy systems [PDF]
, 2004 A fuzzy system entirely characterizes one region of the input-output product space S=U×Vthrough a relation expressed by a set of fuzzy rules. Effectively, the fuzzy system establishes a fuzzy map, which assigns for each input fuzzy set in U an output ...
Garrido, Paulo, Salgado, Paulo
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Overlapping modularity at the critical point of k-clique percolation [PDF]
, 2012 One of the most remarkable social phenomena is the formation of communities in social networks corresponding to families, friendship circles, work teams, etc.
Palla, Gergely +2 more
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3D‐Printed Serial Snap‐Through Architectures for Programmable Mechanical Response
Advanced Engineering Materials, EarlyView.A serial snap‐through architecture is realized using compact 3D‐printed von Mises truss units arranged in a staged cascade. Their geometry and boundary conditions program multistage mechanical responses with plateaux and re‐hardening regimes. An inverted‐compliance model predicts these behaviors and enables analytical design of programmable force ...
Filipe A. Santos
wiley +1 more source
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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Clustering of TS-fuzzy system [PDF]
, 2007 This paper presents a fuzzy c-means clustering method for partitioning symbolic interval data, namely the T-S fuzzy rules. The proposed method furnish a fuzzy partition and prototype for each cluster by optimizing an adequacy criterion based on suitable ...
Igrejas, Getúlio, Salgado, Paulo
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