Results 11 to 20 of about 82,469 (304)

Three-way analysis of imprecise data

Journal of Multivariate Analysis, 2010
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GIORDANI, Paolo
openaire   +5 more sources

A Fuzzy Random Survival Forest for Predicting Lapses in Insurance Portfolios Containing Imprecise Data

Mathematics, 2022
We propose a fuzzy random survival forest (FRSF) to model lapse rates in a life insurance portfolio containing imprecise or incomplete data such as missing, outlier, or noisy values.
Jorge Luis Andrade, José Luis Valencia
doaj   +1 more source

Defuzzify Imprecise Numbers Using the Mellin Transform and the Trade-Off between the Mean and Spread

Algorithms, 2022
Uncertainty or vagueness is usually used to reflect the limitations of human subjective judgment on practical problems. Conventionally, imprecise numbers, e.g., fuzzy and interval numbers, are used to cope with such issues.
Chin-Yi Chen, Jih-Jeng Huang
doaj   +1 more source

Uncertain Data Envelopment Analysis for Cross Efficiency Evaluation with Imprecise Data

Mathematics, 2022
Self evaluation and peer evaluation in data envelopment analysis (DEA) are effective means to comprehensively reflect the efficiencies of decision-making units (DMUs).
Bao Jiang, Enxin Chi, Jian Li
doaj   +1 more source

Likelihood-based Imprecise Regression [PDF]

, 2011
We introduce a new approach to regression with imprecisely observed data, combining likelihood inference with ideas from imprecise probability theory, and thereby taking different kinds of uncertainty into account.
Marco E. G. V. Cattaneo, Cattaneo, Marco E.G.V., Wiencierz, Andrea, Cattaneo, Marco E. G. V., Andrea Wiencierz   +4 more
core   +1 more source

An improvement on the efficiency bounds and efficiency classifications in DEA with imprecise data [PDF]

Big Data and Computing Visions
Recently, Park [1] proposed a mathematical Data Envelopment Analysis (DEA) model to estimate the lower bound of efficiency scores in the presence of imprecise data.
Bohlool Ebrahimi, Duško Tešić
doaj   +1 more source

A nonparametric predictive alternative to the Imprecise Dirichlet Model: the case of a known number of categories [PDF]

, 2006
Nonparametric Predictive Inference (NPI) is a general methodology to learn from data in the absence of prior knowledge and without adding unjustified assumptions.
Augustin, Thomas, T. Augustin, F. P. A. Coolen, Coolen, F. P. A.   +3 more
core   +1 more source

Variable Selection Bias in Classification Trees Based on Imprecise Probabilities [PDF]

, 2005
Classification trees based on imprecise probabilities provide an advancement of classical classification trees. The Gini Index is the default splitting criterion in classical classification trees, while in classification trees based on imprecise ...
Carolin Strobl, Strobl, Carolin
core   +1 more source

On Sharp Identification Regions for Regression Under Interval Data [PDF]

, 2013
The reliable analysis of interval data (coarsened data) is one of the most promising applications of imprecise probabilities in statistics. If one refrains from making untestable, and often materially unjustified, strong assumptions on the coarsening ...
Schollmeyer, Georg, Augustin, Thomas
core   +1 more source

A New Way of Investigating the Relationship Between Fasting Blood Sugar Level and Drinking Glucose Solution

Frontiers in Nutrition, 2022
The existing t-test of a correlation coefficient works under a determinate environment. In uncertainty, the existing t-test of a correlation coefficient is unable to investigate the significance of correlation.
Muhammad Aslam, Mohammed Albassam
doaj   +1 more source