Results 11 to 20 of about 73,048 (260)

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
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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
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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

Repetitive Sampling Control Chart for Gamma Distribution in Uncertain Environments [PDF]

Neutrosophic Sets and Systems
This paper introduces an innovative control chart customized for the gamma distribution, specifically crafted to handle uncertain conditions through repetitive sampling.
Zainalabideen Al-Husseini, Khudhayr A. Rashedi, Muhammad Aslam   +2 more
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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

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

Flexible resampling for fuzzy data

International Journal of Applied Mathematics and Computer Science, 2020
In this paper, a new methodology for simulating bootstrap samples of fuzzy numbers is proposed. Unlike the classical bootstrap, it allows enriching a resampling scheme with values from outside the initial sample.
Grzegorzewski Przemyslaw, Hryniewicz Olgierd, Romaniuk Maciej   +2 more
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Rice production energy efficiency evaluation in north of Iran; application of Robust Data Envelopment Analysis

Cleaner Engineering and Technology, 2022
This paper aimed to identify the energy efficiency indices for rice producers in Golestan province, Iran. A non-linear Robust Data Envelopment Analysis (RDEA) model was applied based on seven energy inputs. The studied indices included energy efficiency,
Mostafa Mardani Najafabadi, Mahmood Sabouni, Hossein Azadi, Morteza Taki   +3 more
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Unveiling Uncertainty: Neutrosophic Set-Based Algorithms for Robust Decision-Making [PDF]

Neutrosophic Sets and Systems
Traditional decision-making methods often struggle with inherent uncertainty and imprecision in data. Neutrosophic set-based algorithms offer a novel approach by incorporating degrees of truth, indeterminacy, and falsity.
A.A.Salama, Huda E. Khalid, Ahmed G. Mabrouk   +2 more
doaj   +1 more source

Measuring the overall performances of decision-making units in the presence of imprecise data [PDF]

Journal of Optimization in Industrial Engineering, 2012
Data envelopment analysis (DEA) is a method for measuring the relative efficiencies of a set of decision-making units (DMUs) that use multiple inputs to produce multiple outputs.
Hossein Azizi, Alireza Bahari, Rasul Jahed   +2 more
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