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

Zhiping Fan; Jian Ma

doi:10.1109/HICSS.1999.772639

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

Zhiping Fan
, Jian Ma

City University of Hong Kong

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

7 Citations (Scopus)

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.

Original language	English
Journal	Proceedings of the Hawaii International Conference on System Sciences
DOIs	https://doi.org/10.1109/HICSS.1999.772639
Publication status	Published - 1999
Event	Proceedings of the 1999 32nd Annual Hawaii International Conference on System Sciences, HICSS-32 - Maui, HI, USA Duration: 5 Jan 1999 → 8 Jan 1999

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title = "Approach to multiple attribute decision making based on incomplete information on alternatives",

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.",

author = "Zhiping Fan and Jian Ma",

year = "1999",

doi = "10.1109/HICSS.1999.772639",

language = "English",

journal = "Proceedings of the Hawaii International Conference on System Sciences",

issn = "1060-3425",

note = "Proceedings of the 1999 32nd Annual Hawaii International Conference on System Sciences, HICSS-32 ; Conference date: 05-01-1999 Through 08-01-1999",

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TY - JOUR

T1 - Approach to multiple attribute decision making based on incomplete information on alternatives

AU - Fan, Zhiping

AU - Ma, Jian

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0032756708

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0032756708&origin=recordpage

U2 - 10.1109/HICSS.1999.772639

DO - 10.1109/HICSS.1999.772639

M3 - RGC 21 - Publication in refereed journal

SN - 1060-3425

JO - Proceedings of the Hawaii International Conference on System Sciences

JF - Proceedings of the Hawaii International Conference on System Sciences

T2 - Proceedings of the 1999 32nd Annual Hawaii International Conference on System Sciences, HICSS-32

Y2 - 5 January 1999 through 8 January 1999

ER -

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

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