Approach to multiple attribute decision making based on incomplete information on alternatives

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

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Original languageEnglish
Journal / PublicationProceedings of the Hawaii International Conference on System Sciences
Publication statusPublished - 1999


TitleProceedings of the 1999 32nd Annual Hawaii International Conference on System Sciences, HICSS-32
CityMaui, HI, USA
Period5 - 8 January 1999


Multiple Attribute Decision Making (MADM) refers to the problem of selecting among alternatives associated with multiple, usually conflicting, attributes. Based on incomplete preference information on alternatives given by the Decision Maker (DM), this paper proposes an mathematical programming approach to solve the MADM problem. To reflect the DM's preference information, an optimization model is proposed to assess attribute weights and then to select the most desirable alternative.