A Distributed Indexing Method for Timeline Similarity Query
Algorithms, 2018 Timelines have been used for centuries and have become more and more widely used with the development of social media in recent years. Every day, various smart phones and other instruments on the internet of things generate massive data related to time ...
Zhenwen He, Xiaogang Ma
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Selection of Transportation Companies and Their Mode of Transportation for Interval Valued Data [PDF]
Neutrosophic Sets and Systems, 2017 The paper presents selection of transportation companies and their mode of transportation for interval valued neutrosophic data. The paper focuses on the application of distance measures to select mode of transportation for transportation companies.
Dalbinder Kour, Kajla Basu
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Generation interval contraction and epidemic data analysis
, 2008 The generation interval is the time between the infection time of an infected person and the infection time of his or her infector. Probability density functions for generation intervals have been an important input for epidemic models and epidemic data ...
Kenah, Eben +2 more
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Modeling the Efficiency of Biogas Plants by Using an Interval Data Analysis Method
EnergiesThis article considers the task of developing mathematical models and their computer implementation that would establish the dependence of pH (acidity of the environment) on the volume and structure of raw materials for daily loading, as well as on the ...
M. Dyvak +4 more
semanticscholar +1 more source
Neutrosophic Exponential Ratio-Type Estimator for Finite Population Mean in Stratified Sampling [PDF]
Neutrosophic Sets and SystemsThis paper introduces an innovative neutrosophic exponential ratio-type estimator for estimating finite population means in stratified sampling environments with indeterminate data.
Anisha Taneja +2 more
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Estimating the endpoint of a uniform distribution under normal measurement errors with known error variance [PDF]
, 2003 The paper studies the problem of estimating the upper end point of a finite interval when the data come from a uniform distribution on this interval and are disturbed by normally distributed measurement errors with known variance.
Schneeweiß, Hans
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Evidential Supplier Selection Based on Interval Data Fusion [PDF]
International Journal of Fuzzy Systems, 2017 Supplier selection is a common and important problem, which is usually modeled in a multi-criterion decision-making framework. In this framework, multiple criteria need to be determined and an expert team needs to be constructed.
Zichang He, Wen Jiang
semanticscholar +1 more source
Evaluation of investment projects under uncertainty: multi-criteria approach using interval data
Entrepreneurship and Sustainability Issues, 2018 Multi-criteria decision making (MCDM) methods have evolved for various types of applications. In the past, even small variations to existing methods have led to the creation of new avenues for research.
O. Shvetsova +2 more
semanticscholar +1 more source
A Novel Slacks-Based Interval DEA Model and Application
AxiomsThis paper proposes a novel slacks-based interval DEA approach that computes interval targets, slacks, and crisp inefficiency scores. It uses interval arithmetic and requires solving a mixed-integer linear program.
Manuel Arana-Jiménez +4 more
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On the implementation of LIR: the case of simple linear regression with interval data [PDF]
, 2012 This paper considers the problem of simple linear regression with interval-censored data. That is, n pairs of intervals are observed instead of the n pairs of precise values for the two variables (dependent and independent).
Cattaneo, Marco E. G. V. +1 more
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