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interval data

SELF-ASSESSMENT PATTERN IN THE SUGGESTIONS SYSTEM USING INTERVAL DATA ENVELOPMENT ANALYSIS

SELF-ASSESSMENT PATTERN IN THE SUGGESTIONS SYSTEM USING INTERVAL DATA ENVELOPMENT ANALYSIS

... Uncertain data in DEA models have been examined in the literature in different ...Fuzzy data envelopment analysis and interval data envelopment analysis in encounter with uncertain ...

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Efficiency Evaluation and Ranking DMUs in the Presence of Interval Data with Stochastic Bounds

Efficiency Evaluation and Ranking DMUs in the Presence of Interval Data with Stochastic Bounds

... imprecise data, especially when a set of DMUs include missing data, ordinal data, interval data, stochastic data, or fuzzy ...in interval environments is a problem worth ...

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Statistical Hypothesis Testing Through Trapezoidal Fuzzy Interval Data

Statistical Hypothesis Testing Through Trapezoidal Fuzzy Interval Data

... Moreover, two numerical examples are demonstrated and in example-2 we have used the testing procedure through trapezoidal interval data which are already analysed by Wu [21], Chachi et al. [9] through ...

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Target setting in additive models with preferences
 and interval data

Target setting in additive models with preferences and interval data

... In this paper, the focus is on additive models with interval data.An additive model can be converted to a multi-objective linear problem if information about preferences of the consumption of inputs and the ...

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Solution of Bimatrix Games with Interval Data Using Linear Complementarity Problem

Solution of Bimatrix Games with Interval Data Using Linear Complementarity Problem

... Abstract. A method for the two person non-zero sum game whose payoffs are represented by interval data has been investigated. In this paper a new method for solving bimatrix game with triangular fuzzy ...

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Ranking of DMUs on interval data by imposing a minimum weight restriction in DEA

Ranking of DMUs on interval data by imposing a minimum weight restriction in DEA

... with interval data in data envelopment analysis that is dierent from the other ...of interval DEA models that are constructed on the basis of interval arithmetic, which dier from the ...

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Efficiency of decision making units in network DEA using interval data

Efficiency of decision making units in network DEA using interval data

... many data are interval data, we present a model in this article that calculates the efficiency of the units being evaluated by such these interval ...Since data are as intervals, the ...

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Linear Regression Analysis for Symbolic Interval Data

Linear Regression Analysis for Symbolic Interval Data

... collected data are growing more and more complex, and become larger than ...symbolic interval data under two different data models and compare our proposed approaches with the existing methods ...

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New DEA/Location Models with Interval Data

New DEA/Location Models with Interval Data

... in interval inputs and outputs environments to improve performance of these ...with interval data. The presented models used the interval CCR model and combined it with UPLP and CPLP models to ...

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Context Dependent Data Envelopment Analysis with Interval Data

Context Dependent Data Envelopment Analysis with Interval Data

... with interval data in context dependent ...have interval data) as two DMUs (which have exact data) and then we obtain in- terval attractiveness for each ...the interval attrac- ...

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Estimated Returns to Scale with Interval Data in
 Parallel Manufacturing Systems with Shared
 Resources

Estimated Returns to Scale with Interval Data in Parallel Manufacturing Systems with Shared Resources

... the data is inexact and interval, so the function of these systems is interval ...of interval data on these systems; when the data is inexact, the nature of returns to scale of ...

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Some Analyses of Interval Data

Some Analyses of Interval Data

... these data ( by some suitably scientific criteria ) to provide more manageably-sized ...aggregated data will perforce be symbolic data consisting of lists, intervals, histograms, ...

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Clustering an interval data set – are the main partitions similar to a priori partition?

Clustering an interval data set – are the main partitions similar to a priori partition?

... by interval type data) in terms of multivalued data, and un unconventional agglomerative clustering technique, by introducing the concept of mutual similarity value (Guru et ...

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The Efficiency of MSBM Model with Imprecise Data (Interval)

The Efficiency of MSBM Model with Imprecise Data (Interval)

... Data Envelopment Analysis (DEA) is a mathematical programming-based approach for evaluates the relative efficiency of a set of DMUs (Decision Making ...in Data Envelopment Analysis various models have been ...

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A Bootstrap Interval Robust Data Envelopment Analysis for Estimate Efficiency and Ranking Hospitals

A Bootstrap Interval Robust Data Envelopment Analysis for Estimate Efficiency and Ranking Hospitals

... input/output data and the information of all DMUs is available to be ...the data and the sampling error for many real world case studies and is used achievement for the ...and interval data ...

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Efficient modeling and representation of agreement in interval valued data

Efficient modeling and representation of agreement in interval valued data

... model-based interval agreement approach (IAA) for combining interval data into fuzzy sets and propose the efficient IAA (eIAA) algorithm, which enables effi- cient representation of and operation on ...

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Comparison of the Bayesian Methods on  Interval Censored Data for Weibull  Distribution

Comparison of the Bayesian Methods on Interval Censored Data for Weibull Distribution

... To assess the performance of the maximum likelihood and Bayesian with help of the Lindley’s approximation and Markov Chain Monte Carlo, where the Metropolis-Hastings algorithm used to estimate the scale and shape ...

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Computational Procedures of the Evidence Theory for Interval and Fuzzy Assignments of the Basic Probability Masses for Focal Elements

Computational Procedures of the Evidence Theory for Interval and Fuzzy Assignments of the Basic Probability Masses for Focal Elements

... Abstract – The evidence theory is ascribed to a specific kind of uncertainty. In this theory, uncertainty refers to the fact that the element of our interest (the true world) may be included in subsets of other similar ...

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Reaching the lower stratosphere: validating an extended vertical grid for COSMO

Reaching the lower stratosphere: validating an extended vertical grid for COSMO

... with data from synoptic radiosondes and regridded reanaly- sis data, it could be shown that the model is able to reproduce measurements of temperature well and produce reasonable values of relative ...

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Principal Longevity, Leadership Behaviors, and Student Academic Achievement

Principal Longevity, Leadership Behaviors, and Student Academic Achievement

... Therefore, we still consider the PH model due to its good properties and straight- forward interpretation based on hazard ratios in the interval censored data. However, the partial likelihood does not work ...

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