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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/12BF23F1-F497-4B2E-AD41-2AECE83CC8B6 | - |
| Identifier | http://link.springer.com/article/10.1007/s00291-010-0231-2 | - |
| Identifier | https://doi.org/10.1007/s00291-010-0231-2 | - |
| Language | en | - |
| Extent | 18 pages | en |
| Title | Learning non-monotonic additive value functions for multicriteria decision making | en |
| Creator | Michael Doumpos | en |
| Creator | Δουμπος Μιχαλης | el |
| Publisher | Springer Verlag | en |
| Content Summary | Multiattribute additive value functions constitute an important class of models for multicriteria decision making. Such models are often used to rank a set of alternatives or to classify them into pre-defined groups. Preference disaggregation techniques have been used to construct additive value models using linear programming techniques based on the assumption of monotonic preferences. This paper presents a methodology to construct non-monotonic value function models, using an evolutionary optimization approach. The methodology is implemented for the construction of multicriteria models that can be used to classify the alternatives in pre-defined groups, with an application to credit rating. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-18 | - |
| Date of Publication | 2012 | - |
| Subject | Classification | en |
| Subject | Evolutionary optimization | en |
| Subject | Value functions | en |
| Subject | Multicriteria decision making | en |
| Bibliographic Citation | M. Doumpos, "Learning non-monotonic additive value functions for multicriteria decision making," OR Spectr., vol. 34, no. 1, pp. 89-106, Jan. 2012. doi:10.1007/s00291-010-0231-2 | en |
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