An approach to multiple attribute decision making based on incomplete information on alternatives

Author

Fan, Zhiping ; Ma, Jian

Author_Institution

Dept. of Inf. & Decision, Northeast Univ. of Technol., Shenyang, China

Volume

Track6

fYear

1999

fDate

5-8 Jan. 1999

Abstract

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.

Keywords

decision theory; mathematical programming; uncertainty handling; MADM problem; attribute weights; decision maker; incomplete information; incomplete preference information; mathematical programming; most desirable alternative; multiple attribute decision making; optimization model; selecting among alternatives; Additives; Artificial neural networks; Costs; Decision making; Delta modulation; Information systems; Linear programming; Mathematical programming; Mathematics; Production planning;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Sciences, 1999. HICSS-32. Proceedings of the 32nd Annual Hawaii International Conference on

Conference_Location

Maui, HI, USA

Print_ISBN

0-7695-0001-3

Type

conf

DOI

10.1109/HICSS.1999.772639

Filename

772639