Interpreting the Determinantsof Sensitivity in MCDM Methods with a New Perspective:  Selection with the PROBID Method

Mahmut Baydaş

Authors

Mahmut Baydaş Faculty of Applied Sciences Author

Keywords:

Normalization Techniques;PROBID Method

Abstract

It is not a desirable situation when input parametersexcessively affect the results of a system as well as imply unwarranted driftand inefficiency. This situation, which expresses dependence or sensitivityto inputs, is also considered a problem in the multi-criteria decision-making (MCDM)methodology family, which has more than 200 members.A newly produced MCDM method is first subjected to sensitivity tests.MCDM methods are generally evaluated for their sensitivity to weighting methods. Sensitivity is affected by many different parameters such as data, normalization,fundamental equation, and distance type. The commonmethodical approach for sensitivity analysis is to check whether the bestalternative changes with the alteration of weight coefficients. It is problematic to identify sensitivity only in the situation where the ranking position of the best alternative changes. In this study, the sensitivity of the entire ranking is based on a holistic view. Moreover, in the classical method, there is no reference point for sensitivity. Each different MCDM result is comparedto each other and it is claimed that the method that produces rankings that are significantly different from the others is poor. We reinterpret sensitivity using the relationship between dynamic MCDM-based performance and static price towards the selection of an environmentally friendly,traffic-saving performance electric scooter. Two PROBID variants as well as the CODAS method are used in this study to deepen the accuracyin the comparison.Additionally, how four types of weighting methods and six types of normalization types affected MCDM sensitivity is measured with a different statistical framework. The finding from a total of 72different MCDM rankings is striking: If the sensitivity of an MCDM method isgenerally high, the correlation between that MCDM method and the externalanchor (price) is low. Conversely, if sentiment is low, a high correlation with price results.These matching patterns are a unique discovery of this work.

Author Biography

Mahmut Baydaş, Faculty of Applied Sciences

Necmettin Erbakan University, Faculty of Applied Sciences, 42000 Konya, Türkiye

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