Imprecise Data and Their Impact on Translational Research in Medicine [PDF]
Frontiers in Medicine, 2020 The medical field expects from big data essentially two main results: the ability to build predictive models and the possibility of applying them to obtain accurate patient risk profiles and/or health trajectories. Note that the paradigm of precision has
Enrico Capobianco
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Unsupervised Hierarchical Classification Approach for Imprecise Data in the Breast Cancer Detection [PDF]
Entropy, 2022 (1) Background: in recent years, a lot of the research of statistical methods focused on the classification problem in presence of imprecise data. A particular case of imprecise data is the interval-valued data. Following this research line, in this work
Mario Fordellone, Paolo Chiodini
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Statistical fractal analysis in testing the Hypotheses with imprecise data [PDF]
MethodsXA new statistical hypothesis testing procedure using fractal analysis, incorporating the concept of lacunarity for interval population parameters when the sample data are real intervals, is introduced.
D. Kalpanapriya +3 more
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Imprecise Shannon’s Entropy and Multi Attribute Decision Making
Entropy, 2010 Finding the appropriate weight for each criterion is one of the main points in Multi Attribute Decision Making (MADM) problems. Shannon’s entropy method is one of the various methods for finding weights discussed in the literature.
Farhad Hosseinzadeh Lotfi +1 more
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Birnbaum Saunders distribution for imprecise data: statistical properties, estimation methods, and real life applications [PDF]
Scientific ReportsA neutrosophic statistic is a random variable and it has a neutrosophic probability distribution. So, in this paper, we introduce the new neutrosophic Birnbaum–Saunders distribution. Some statistical properties are derived, using Mathematica 13.1.1 and R-
Marwa K. Hassan, Muhammad Aslam
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Entropy Gap as a Measure of Epistemic Caution in Credal Sets Generated from Data [PDF]
EntropyImprecise probability models generated from data represent epistemic uncertainty by replacing the precise empirical distribution with a set of compatible probability distributions.
María Isabel A. Benítez +2 more
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Augmented Latin Square Designs for Imprecise Data [PDF]
Neutrosophic Sets and Systems, 2023 This paper addresses a novel approach for analyzing augmented Latin square design with uncertain observations, the so-called neutrosophic augmented Latin square design (NALSD). The contribution of our work lies in estimating the effects of rows, columns,
Abdulrahman Al-Aita , Hooshang Talebi
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Evaluating the Efficiency of Water and Wastewater Companies under Uncertainty by Using Interval Fuzzy Data Envelopment Approach (Case Study: Markazi Province) [PDF]
آب و فاضلاب, 2021 Water and wastewater companies play a vital role in society as providers of drinking water services. Therefore, measuring the efficiency of these companies is an action that can help in the optimal allocation of water distribution among customers ...
Bahram Fathi, Nasrin Ohadi
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Analyzing imprecise graphene foam resistance data
Materials Research Express, 2022 3D graphene foam is the main aim of this research work. Graphene foam is synthesized on the Ni-foam by the CVD technique. The graphene foam has been characterized by XRD, FESEM, Raman spectroscopy and BET techniques.
Usama Afzal +2 more
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Chi-square test for imprecise data in consistency table
Frontiers in Applied Mathematics and Statistics, 2023 In this paper, we propose the introduction of a neutrosophic chi-square-test for consistency, incorporating neutrosophic statistics. Our aim is to modify the existing chi-square -test for consistency in order to analyze imprecise data. We present a novel
Muhammad Aslam, Florentin Smarandache
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