Special Issue "Recent Advances and Applications in Multi-Criteria Decision Analysis"
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: closed (28 February 2021) | Viewed by 20626
Special Issue Editor
Interests: multi-attribute utility theory, group decision making; preference quantification; metaheuristics; simulation, risk analysis and management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Multi-criteria decision analysis (MCDA) techniques can be divided into two major groups. The first is discrete MCDA, including multi-attribute utility theory (MAUT), analytic hierarchical process/analytic network process (AHP/ANP), and outranking methods, where the decision-maker has to evaluate a finite set of alternatives to a) select the best option, b) rank alternatives from the best to worst, and c) classify alternatives into predefined classes or the described options. The second is continuous MCDA, including multi-objective programming and goal programming, where there is an infinite set of alternatives.
Over the last few decades, MCDA techniques have been successfully applied to complex decision-making problems in a wide range of fields, such as economics, finance, logistics, environmental restoration, health or industrial organization, to name but a few, and imprecision and uncertainty have been incorporated into the decision-making process and applied to group decision-making contexts.
The scope of this issue is MCDA in a broad sense, focusing on recent advances in both discrete and continuous techniques and significant applications in different fields.
Prof. Dr. Antonio Jiménez-Martín
Guest Editor
Manuscript Submission Information
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Keywords
- discrete and continuous MCDA
- preference quantification
- uncertainty in decision-making
- group decision-making