Generalised framework for multi-criteria method selection
By Jaroslaw Watrobski, Jarosław Jankowski, Pawel Ziemba, Artur Karczmarczyk, M. Zioło. Omega, 2018
450 citations recorded by the source corpus.
Abstract Multi-Criteria Decision Analysis (MCDA) methods are widely used in various fields and disciplines. While most of the research has been focused on the development and improvement of new MCDA methods, relatively limited attention has been paid to their appropriate selection for the given decision problem. Their improper application decreases the quality of recommendations, as different MCDA methods deliver inconsistent results. The current paper presents a methodological and practical framework for selecting suitable MCDA methods for a particular decision situation. A set of 56 available MCDA methods was analysed and, based on that, a hierarchical set of methods' characteristics and the rule base were obtained. This analysis, rules and modelling of the uncertainty in the decision problem description allowed to build a framework supporting the selection of a MCDA method for a given decision-making situation. The practical studies indicate consistency between the methods recommended with the proposed approach and those used by the experts in reference cases. The results of the research also showed that the proposed approach can be used as a general framework for selecting an appropriate MCDA method for a given area of decision support, even in cases of data gaps in the decision-making problem description. The proposed framework was implemented within a web platform available for public use at www.mcda.it.
Subfields: Management, Monitoring, Policy and Law, Management Science and Operations Research, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/ce1b05c07be7638fc3585516469f469ec553b9db
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In Management, Monitoring, Policy and Law
In Management Science and Operations Research
In Water Science and Technology
Citations in the corpus
- How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy (2020, methodology): “[177] that covers 56 MCDA methods, looking at nine characteristics of the MCDA problem, including preferences, uncertainty, and desired outcome.”