Mathematical Multi-Criteria Decision Models for Performance Evaluation

Multicriteria decision analysis (MCDA) and methods offer a systematic way of selecting, ordering, allocating and measuring the relative contribution of alternatives based on multiple conflicting criteria in a decision problem. Over the past decades, they have been commonly used for structuring preference and modeling complex problems. Many additive and multiplicative approaches deal with simple and complex performance evaluations where information can be elicited from one or many sources, and new designs, rankings or portfolios can be constructed with best-practice prospects. Another prominent stream of research is combining non-parametric frontier estimations, such as Data Envelopment Analysis and Directional Distance Functions, with Multi-criteria approaches for performance measurement, which gather the benefits from a robust non-parametric objective efficiency measure with the subjective preference or value judgment of a decision-maker.

In addition, a common tradeoff between performance (efficiency) and quality (effectiveness) is reported in many assessments, but not properly addressed by existing and new MCDA developments. Classifications, ordering choices or preference descriptions that require specific knowledge management for real-world performance analysis has attracted the attention of scholars, industries, governments and stakeholders for making possible efficient solutions of producing more (products, results, social benefits) using less (resources, energy or capacity) in all sectors of economic activity. The scope of this Special Issue focus on compensatory and non-compensatory MCDA applications and theoretical extensions, including (but not limited to):

• Multi-attribute utility, value function and other Methods with unique synthesizing criterion (AHP, FITradeoff, MACBETH, MAUT, MAVT, UTA, SMART, TOPSIS, among others);
• Outranking methods (ELECTRE, PROMETHEE, among others);
• Goal programming, multi-objective programming, interactive methods and reference point methods;
• Fuzzy sets and multiple attribute decision models with uncertainties;
• Dominance-based approaches;
• Non-parametric frontier analysis (data envelopment analysis, directional distance functions, free disposal hull and extensions);
• Group decision and multi-stakeholder procedures for performance evaluation.

Efficiency analysis and multicriteria applications for performance measurement in the private and public sectors are welcome to this Special Issue.

Dr. Thyago Celso Cavalcante Nepomuceno
Prof. Erik Alda
Guest Editors

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