A comparative analysis of different hybrid MCDM techniques considering a case of selection of 3D printers
| Autor: | Debapriyo Paul, Puneet Kumar Agarwal, Gourab Gopal Mondal, Debamalya Banerjee |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: | |
| Zdroj: | Management Science Letters, Vol 5, Iss 7, Pp 695-708 (2015) |
| Druh dokumentu: | article |
| ISSN: | 1923-2934 1923-9343 |
| DOI: | 10.5267/j.msl.2015.5.003 |
| Popis: | A multitude of techniques fall under the domain of Multi- Criteria Decision Making (MCDM) which is used to select the best alternative among the available ones. The objective of this paper is to compare some of these techniques with respect to the problem of selection of 3D printers, which is associated with multiple attributes. The weights of the criteria were determined using analytical network process (ANP). Next, the alternatives were ranked using three different MCDM techniques- 1.TOPSIS which ranks alternatives having the shortest distance to the ideal solution as well as the greatest distance from the negative-ideal solution 2. Deng’s Similarity based Approach where the most preferred alternative should have the highest degree of similarity to the positive ideal solution and the lowest degree of similarity to the negative-ideal solution and 3.PROMETHEE and GAIA. The solutions for each of these three cases were analyzed thoroughly, and reasons for any deviations were discussed. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|