Dealing with Imprecision in Performance Evaluation Processes Using Indicators: A Fuzzy Distance-Based Approach
David Gálvez Ruiz () and
José Luis Pino Mejías ()
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David Gálvez Ruiz: University of Seville
José Luis Pino Mejías: University of Seville
Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2016, vol. 129, issue 1, No 22, 403-423
Abstract:
Abstract This paper presents an approach for dealing with imprecision in performance evaluation analysis focused particularly on Public Policy but applicable to other fields. While most previous research builds fuzzy indicators by assessing a membership function as the indicator itself, with direct subjective evaluation, this new approach is based on the fuzzification of crisp indicators which are subject to imprecision, vagueness or an incomplete perception of reality. These indicators may be quantitative or qualitative yet approximate expressions from real data in order to define results and systematize the information. The evaluation process is based on those expressions and uses fuzzy distances as a performance evaluation tool to show the degree of efficacy related to both crisp and fuzzy targets set as the reference value in the evaluation process.
Keywords: Fuzzy indicators; Evaluation; Fuzzy distance; EU 2020; 26E50; 28E10 (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:soinre:v:129:y:2016:i:1:d:10.1007_s11205-015-1108-1
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DOI: 10.1007/s11205-015-1108-1
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