Dealing with Imprecision in Performance Evaluation Processes Using Indicators A Fuzzy Distance-Based Approach

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 subjectiv...

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Published in:	Social indicators research Vol. 129; no. 1; pp. 403 - 423
Main Authors:	Ruiz, David Gálvez, Mejías, José Luis Pino
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Science + Business Media 01.10.2016 Springer Netherlands Springer Nature B.V
Subjects:	Approximation Data envelopment analysis Decision making Efficacy Evaluation Fuzzy sets Human Geography Indexes Instructional Effectiveness Membership Methods Microeconomics Per capita Performance evaluation Probability Public Health Public policy Quality of Life Research Social research Social Sciences Sociology Studies Subjectivity United States > US Thousand Oaks California Fuzzy indicators EU 2020 Evaluation Fuzzy distance 28E10 26E50
ISSN:	0303-8300, 1573-0921
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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.
AbstractList	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. Reprinted by permission of Springer 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.
Author	Mejías, José Luis Pino Ruiz, David Gálvez
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Snippet	This paper presents an approach for dealing with imprecision in performance evaluation analysis focused particularly on Public Policy but applicable to other...
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SubjectTerms	Approximation Data envelopment analysis Decision making Efficacy Evaluation Fuzzy sets Human Geography Indexes Instructional Effectiveness Membership Methods Microeconomics Per capita Performance evaluation Probability Public Health Public policy Quality of Life Research Social research Social Sciences Sociology Studies Subjectivity
Subtitle	A Fuzzy Distance-Based Approach
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Title	Dealing with Imprecision in Performance Evaluation Processes Using Indicators
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