A Data Pre-Processing Model for the Topsis Method

Kobryń Andrzej () and Prystrom Joanna ()
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Kobryń Andrzej: Bialystok University of Technology, Faculty of Civil and Environmental Engineering, Wiejska 45E, 15-351 Bialystok, Poland
Prystrom Joanna: University of Bialystok, Faculty of Economics and Management, Warszawska 63, 15-062 Bialystok, Poland

Folia Oeconomica Stetinensia, 2016, vol. 16, issue 2, 219-235

Abstract: TOPSIS is one of the most popular methods of multi-criteria decision making (MCDM). Its fundamental role is the establishment of chosen alternatives ranking based on their distance from the ideal and negative-ideal solution. There are three primary versions of the TOPSIS method distinguished: classical, interval and fuzzy, where calculation algorithms are adjusted to the character of input rating decision-making alternatives (real numbers, interval data or fuzzy numbers). Various, specialist publications present descriptions on the use of particular versions of the TOPSIS method in the decision-making process, particularly popular is the fuzzy version. However, it should be noticed, that depending on the character of accepted criteria – rating of alternatives can have a heterogeneous character. The present paper suggests the means of proceeding in the situation when the set of criteria covers characteristic criteria for each of the mentioned versions of TOPSIS, as a result of which the rating of the alternatives is vague. The calculation procedure has been illustrated by an adequate numerical example.

Keywords: multi-criteria decision making; the TOPSIS method (search for similar items in EconPapers)
JEL-codes: M10 M20 (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:foeste:v:16:y:2016:i:2:p:219-235:n:16

DOI: 10.1515/foli-2016-0036

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