Advances in Intelligent Systems and Computing - Soft Methods for Data Science
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Published By Springer International Publishing

9783319429717, 9783319429724

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Composition Operator for Credal Sets Reconsidered

Advances in Intelligent Systems and Computing - Soft Methods for Data Science ◽

10.1007/978-3-319-42972-4_60 ◽

2016 ◽

pp. 487-494

Author(s):

Jiřina Vejnarová

Keyword(s):

Composition Operator ◽

Credal Sets

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Dispersion Measures and Multidistances on $$\mathbb {R}^k$$ R k

Advances in Intelligent Systems and Computing - Soft Methods for Data Science ◽

10.1007/978-3-319-42972-4_43 ◽

2016 ◽

pp. 347-354

Author(s):

Javier Martín ◽

Gaspar Mayor

Keyword(s):

Dispersion Measures

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Fuzzy Signals Fed to Gaussian Channels

Advances in Intelligent Systems and Computing - Soft Methods for Data Science ◽

10.1007/978-3-319-42972-4_28 ◽

2016 ◽

pp. 221-228 ◽

Cited By ~ 1

Author(s):

Laura Franzoi ◽

Andrea Sgarro

Keyword(s):

Gaussian Channels

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A Perceptron Classifier and Corresponding Probabilities

Advances in Intelligent Systems and Computing - Soft Methods for Data Science ◽

10.1007/978-3-319-42972-4_27 ◽

2016 ◽

pp. 213-220 ◽

Cited By ~ 1

Author(s):

Bernd-Jürgen Falkowski

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The Extension of Imprecise Probabilities Based on Generalized Credal Sets

Advances in Intelligent Systems and Computing - Soft Methods for Data Science ◽

10.1007/978-3-319-42972-4_11 ◽

2016 ◽

pp. 87-94 ◽

Cited By ~ 2

Author(s):

Andrey G. Bronevich ◽

Igor N. Rozenberg

Keyword(s):

Imprecise Probabilities ◽

Credal Sets

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An Empirical Analysis of the Coherence Between Fuzzy Rating Scale- and Likert Scale-Based Responses to Questionnaires

Advances in Intelligent Systems and Computing - Soft Methods for Data Science ◽

10.1007/978-3-319-42972-4_41 ◽

2016 ◽

pp. 329-337 ◽

Cited By ~ 8

Author(s):

María Asunción Lubiano ◽

Antonia Salas ◽

Sara De la Rosa de Sáa ◽

Manuel Montenegro ◽

María Ángeles Gil

Keyword(s):

Empirical Analysis ◽

Rating Scale ◽

Likert Scale

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Time Series Modeling Based on Fuzzy Transform

Advances in Intelligent Systems and Computing - Soft Methods for Data Science ◽

10.1007/978-3-319-42972-4_57 ◽

2016 ◽

pp. 463-470 ◽

Cited By ~ 1

Author(s):

Luciano Stefanini ◽

Laerte Sorini ◽

Maria Letizia Guerra

Keyword(s):

Time Series ◽

Time Series Modeling ◽

Fuzzy Transform

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The Use of Uncertainty to Choose Matching Variables in Statistical Matching

Advances in Intelligent Systems and Computing - Soft Methods for Data Science ◽

10.1007/978-3-319-42972-4_19 ◽

2016 ◽

pp. 149-156

Author(s):

Marcello D’Orazio ◽

Marco Di Zio ◽

Mauro Scanu

Keyword(s):

Statistical Matching

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Agglomerative Fuzzy Clustering

Advances in Intelligent Systems and Computing - Soft Methods for Data Science ◽

10.1007/978-3-319-42972-4_9 ◽

2016 ◽

pp. 69-77 ◽

Cited By ~ 1

Author(s):

Christian Borgelt ◽

Rudolf Kruse

Keyword(s):

Fuzzy Clustering

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Mean Value and Variance of Fuzzy Numbers with Non-continuous Membership Functions

Advances in Intelligent Systems and Computing - Soft Methods for Data Science ◽

10.1007/978-3-319-42972-4_1 ◽

2016 ◽

pp. 1-8

Author(s):

Luca Anzilli ◽

Gisella Facchinetti

Keyword(s):

Fuzzy Numbers ◽

Mean Value ◽

Membership Functions

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Advances in Intelligent Systems and Computing - Soft Methods for Data ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Composition Operator for Credal Sets Reconsidered

Dispersion Measures and Multidistances on $$\mathbb {R}^k$$ R k

Fuzzy Signals Fed to Gaussian Channels

A Perceptron Classifier and Corresponding Probabilities

The Extension of Imprecise Probabilities Based on Generalized Credal Sets

An Empirical Analysis of the Coherence Between Fuzzy Rating Scale- and Likert Scale-Based Responses to Questionnaires

Time Series Modeling Based on Fuzzy Transform

The Use of Uncertainty to Choose Matching Variables in Statistical Matching

Agglomerative Fuzzy Clustering

Mean Value and Variance of Fuzzy Numbers with Non-continuous Membership Functions

Advances in Intelligent Systems and Computing - Soft Methods for Data Science
Latest Publications