This article seeks to enhance acceptance of the profile distance method (PDM) in decision support
systems. The PDM is a multiple attributive based decision making as well as a multiple method
approach to support complex decision making and uses a heuristic to avoid computationally complex
global optimization. We elaborate on the usability of the method and question the heuristic used. We
present a bisection algorithm, which efficiently supports the discovery of transition profiles needed in
a user-friendly and practical application of the method. Additionally, we provide empirical evidence
showing that the proposed heuristic is efficient and delivers results within 5% of the global optimizer
for a wide range of data sets.
| Identifer | oai:union.ndltd.org:VIENNA/oai:epub.wu-wien.ac.at:3038 |
| Date | 05 1900 |
| Creators | Bernroider, Edward, Obwegeser, Nikolaus, Stix, Volker |
| Publisher | Elsevier |
| Source Sets | Wirtschaftsuniversität Wien |
| Language | English |
| Detected Language | English |
| Type | Article, PeerReviewed |
| Format | application/pdf |
| Relation | http://dx.doi.org/10.1016/j.cor.2010.09.017, http://epub.wu.ac.at/3038/ |
Page generated in 0.0018 seconds