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This paper presents an expert system to select a most suitable discrete Multi Criteria Decision Making (MCDM) method using an approach that analyses problem characteristics, MCDM methods characteristics, risk and uncertainty in inputs and applies sensitivity analysis to the inputs for a decisional problem. Outcomes of this approach can provide decision makers with a suggested candidate method that delivers a robust outcome. Numerical examples are presented where two MCDM methods are compared and one is recommended by calculating the minimum percentage change in criteria weights and performance measures required to alter the ranking of any two alternatives. A MCDM method will be recommended based on a best compromise in minimum percentage change required in inputs to alter the ranking of alternatives.
|Title of host publication||Intelligent Systems and Applications|
|Subtitle of host publication||Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1|
|Editors||Kohei Arai, Supriya Kapoor, Rahul Bhatia|
|Publication status||Published - Jan 2019|
|Event||IntelliSys 2018 - London, United Kingdom|
Duration: 6 Sep 2018 → 7 Sep 2018
|Name||Advances in Intelligent Systems and Computing|
|Period||6/09/18 → 7/09/18|
- Problem characteristics
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- 1 Participation in conference