Fuzzy-regression models under conditions of the presence of non-numeric data in the statistical sample

Fuzzy-regression models under conditions of the presence of non-numeric data in the statistical sample

Gespeichert in:

Bibliographische Detailangaben
Datum:	2017
1. Verfasser:	Ju. A. Zak
Format:	Artikel
Sprache:	English
Veröffentlicht:	2017
Schriftenreihe:	System researches & information technologies
Online Zugang:	http://jnas.nbuv.gov.ua/article/UJRN-0001079188
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Ähnliche Einträge

Methods for construction of regression models based on fuzzy data
von: S. V. Yershov, et al.
Veröffentlicht: (2015)

Company valuation based on discounted financial flows and its residual value under fuzzy data
von: Ju. A. Zak
Veröffentlicht: (2017)

Fuzzy cognitive map vs regression
von: A. P. Rotshtejn, et al.
Veröffentlicht: (2021)

Robust bootstrap regression testing in the presence of outliers
von: S. U. Hassan, et al.
Veröffentlicht: (2022)

Some deterministic models of fuzzy linear programming problems
von: Ju. A. Zak
Veröffentlicht: (2016)

The method to construct fuzzy regression model based on LARS for selection of significant features
von: A. L. Erokhin, et al.
Veröffentlicht: (2016)

Analytical Support for Selecting the Best Investment Project in the Presence of Fuzzy Data
von: O. S. Kotsiuba
Veröffentlicht: (2017)

The exponential statistical experiments with persistent linear regression and equilibrium
von: D. V. Koroljuk
Veröffentlicht: (2014)

Problems of fuzzy-linear programming with two-sided constraints and parameters of objective functions and constraints in the form of fuzzy sets
von: Ju. A. Zak
Veröffentlicht: (2018)

Multicriteria decision-making problems under fuzzy conditions
von: Ju. Zajchenko, et al.
Veröffentlicht: (2016)

Statistical experiments with persistent linear regression in the Markov random medium
von: D. V. Koroliuk
Veröffentlicht: (2015)

Modeling of Regional Cooperation in the Form of Coalition Game under Fuzzy Conditions
von: R. V. Vovk
Veröffentlicht: (2010)

Modeling in the Class of Regression Equations Systems in Structural Uncertainty Conditions
von: A. P. Sarychev
Veröffentlicht: (2014)

Statistical-Regression Analysis of the Tendencies in the Markets of Personal Bank Deposits and Loans
von: Ya. Dutka, et al.
Veröffentlicht: (2009)

Statistical analysis of the coronavirus infection dynamics using stepwise switching regression
von: P. S. Knopov, et al.
Veröffentlicht: (2020)

Tauberian conditions under which convergence follows from the weighted mean summability and its statistical extension for sequences of fuzzy number
von: Z. Цnder, et al.
Veröffentlicht: (2021)

NUMERICAL COMPUTATION OF ELECTRIC FIELDS IN PRESENCE OF CURVILINEAR INTERFACE BETWEEN CONDUCTIVE AND NON-CONDUCTIVE MEDIA
von: Sokol, Ye. I., et al.
Veröffentlicht: (2016)

Statistical sampling and feature selection for epilepsy pattern recognition
von: Gaidar, V.O., et al.
Veröffentlicht: (2020)

Statistical sampling and feature selection for epilepsy pattern recognition
von: V. O. Gaidar, et al.
Veröffentlicht: (2020)

The Influence of the Statistical Characteristics of the Training Sample on its Representativeness
von: V. V. Iskra, et al.
Veröffentlicht: (2013)

Logic of causal inference from data under presence of latent confounders
von: O. S. Balabanov
Veröffentlicht: (2022)

Fuzzy-logic Expert System for Estimating the Depth and the Quality of the Welds in the Electric Welding Robot Processes
von: Ju. A. Zak
Veröffentlicht: (2015)

Quantum field theory in a non-commutative space: theoretical predictions and numerical results on the fuzzy sphere
von: Panero, M.
Veröffentlicht: (2006)

Distribution of non-equilibrium charge carriers in macroporous silicon structure under conditions of their homogeneous generation over the sample bulk
von: V. F. Onyshchenko
Veröffentlicht: (2015)

Approximation of real data by fuzzy sets for the classification problem
von: Ju. Sukhanov
Veröffentlicht: (2019)

Fuzzy Functional Differential Equations under Dissipative-Type Conditions
von: T. Donchev, et al.
Veröffentlicht: (2013)

Fuzzy Functional Differential Equations under Dissipative-Type Conditions
von: Donchev, T., et al.
Veröffentlicht: (2013)

Non-asymptotic lower bounds for the data complexity of statistical attacks on symmetric cryptosystems
von: A. N. Aleksejchuk
Veröffentlicht: (2018)

Inductive modeling the risks of losses of devastating floods in the basin of river Tisza on empirical data using the regression type models
von: Yu. D. Stefanyshyna-Havryliuk, et al.
Veröffentlicht: (2014)

Development of fuzzy-controller for data analysis of rocks and mine workings condition monitoring
von: A. I. Slashchev
Veröffentlicht: (2015)

The Algorithm of Checking for Correctness of Spline Regression Model
von: Yu. Savkina
Veröffentlicht: (2017)

Regression Model of Ecological Backpack Ukrainian Coal
von: Yu. Cherevatskyi, et al.
Veröffentlicht: (2022)

Identification of regularized models in the linear regression class
von: V. F. Gubarev, et al.
Veröffentlicht: (2021)

Fuzzy data in semantic Wiki-resources: models, sources and processing methods
von: Rogushina, J.V.
Veröffentlicht: (2023)

Diagnosis of Bankruptcy in Fuzzy Raw Data
von: I. G. Bachkir
Veröffentlicht: (2012)

Evaluation of local variety samples of pomegranate under the conditions of the Apsheron peninsular
von: Z. P. Mustafaeva
Veröffentlicht: (2015)

Admissibility of Estimated Regression Coefficients Under Generalized Balanced Loss
von: Hong-Bing Qiu, et al.
Veröffentlicht: (2015)

Comparison of Two Control Programs of the VVER-1000 Nuclear Power Unit Using Regression Data Mining Models
von: T. Foshch, et al.
Veröffentlicht: (2017)

Comparison of Two Control Programs of the VVER-1000 Nuclear Power Unit Using Regression Data Mining Models
von: Foshch, T., et al.
Veröffentlicht: (2016)

Algorithms of Multifactorial Regression Modeling in Ecological and Hygienic Studies
von: M. Y. Antonomov, et al.
Veröffentlicht: (2017)