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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Bibliographic Details
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
Online Access:Get full text
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Summary: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.
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ISSN:0303-8300
1573-0921
DOI:10.1007/s11205-015-1108-1