COMBINING DIFFERENT MCDM METHODS WITH THE COPELAND METHOD: AN INVESTIGATION ON MOTORCYCLE SELECTION

Abstract

There are many different multi-criteria decision making methods in the literature. These methods, which enable criteria with different measurement units to be examined together, allow choosing between alternatives. However, different methods can produce different results depending on the data set. The aim of this study is to combine the results obtained by applying different methods to the data set with the Copeland method. To this end, a problem with real data was first addressed. Technical data of motorcycle alternatives that can be preferred for individual needs were collected in terms of different criteria. The weights of these criteria were found by the PIPRECIA method. Six different multi-criteria decision making methods were used to evaluate motorcycle alternatives. These methods are MOPA, MOOSRA, COPRAS, SAW, WPM and ROV. The sequencing results obtained from these methods were combined with the Copeland method and the results were discussed.

Keywords

• multi criteria decision making (mcdm)
• copeland
• pivot pairwise relative criteria importance assessment (piprecia)
• multi objective performance analysis (mopa)
• )
• multi objective optimization on the basis of simple ratio analysis (moosra)
• complex proportional assessment (copras)
• simple additive weighting (saw)
• weighted product method (wpm)
• range of value (rov)
• motorcycle selection