0000000000369214

AUTHOR

Sandra E. Parada-rico

showing 2 related works from this author

An academic performance indicator using flexible multi-criteria methods

2021

Composite indicators are a very useful tool for conveying summary information on the overall performance of institutions and facilitating decision-making. Increasingly, there is a demand for indicators that allow performance to be assessed after the implementation of a strategy. This has several difficulties, and in this paper, we address three of them: how to evaluate at different points in time, how to estimate the weighting of the criteria and how to normalize the data. Our proposal is based on multicriteria techniques, using a recent method, uwTOPSIS, and is applied to data collected from 2975 students enrolled in the first year of science and engineering at the Industrial University of…

Operations researchComputer scienceGeneral MathematicsData management:CIENCIAS ECONÓMICAS [UNESCO]Computer Science (miscellaneous)QA1-939TOPSISEngineering (miscellaneous)MCDMcomputer.programming_languageMeasure (data warehouse)business.industryuwTOPSISR Programming LanguageTOPSISUNESCO::CIENCIAS ECONÓMICASPython (programming language)topsisMultiple-criteria decision analysismcdmWeightinguwtopsisacademic performance indicatorPerformance indicatorbusinesscomputercomposite indicatorsMathematics
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Construction of quality indicators based on pre-established goals: application to a colombian public university

2020

This study creates indicators of adequacy and excellence based on multiple-criteria decision-making (MCDM) methods and fuzzy logic. The calculation of indicators presents two main difficulties: The nature of the data (numerical, interval, and linguistic values are mixed) and the objective of each criterion (which does not have to reach either the maximum or the minimum). A method is proposed, based on similarity measures with predetermined ideals, that is capable of overcoming these difficulties to provide easy-to-interpret information about the quality of the alternatives. To illustrate the usefulness of this proposed method, it has been applied to data collected from students across nine …

adequacy indexOperations researchComputer scienceGeneral Mathematicsmedia_common.quotation_subject0211 other engineering and technologies02 engineering and technologyInterval (mathematics)Fuzzy logic:CIENCIAS ECONÓMICAS [UNESCO]ExcellenceSimilarity (psychology)0202 electrical engineering electronic engineering information engineeringComputer Science (miscellaneous)multiple-criteria decision-makingQuality (business)excellence indexEngineering (miscellaneous)similaritymedia_common021103 operations researchlcsh:MathematicsUNESCO::CIENCIAS ECONÓMICASlcsh:QA1-939Multiple-criteria decision analysisAction (philosophy)Institution (computer science)020201 artificial intelligence & image processingfuzzy logic
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