How to treat strict preference information in multicriteria decision analysis

• Published in: The Journal of the Operational Research Society Vol. 62; no. 10; pp. 1771 - 1783
• Main Authors: Park, K S, Jeong, I
• Format: Journal Article
• Language: English
• Published: London Taylor & Francis 01.10.2011; Palgrave Macmillan; Palgrave Macmillan UK; Taylor & Francis Ltd
• Series: Journal of the Operational Research Society
• Subjects: Applied sciences; Business and Management; Consumer goods industries; Decision analysis; Decision making; Decision theory. Utility theory; dominance; Exact sciences and technology; Firm modelling; General Paper; General Papers; Income inequality; incomplete information; Inequality; Information economics; Linear programming; Management; Marginal value; Market entry; market entry decision; Market size; Mathematical programming; multicriteria decision analysis; Multiple criteria decision making; Operational research and scientific management; Operational research. Management science; Operations research; Operations Research/Decision Theory; potential optimality; Preferences; Prioritization; Referents; strict inequality; Studies; market entry decision; multicriteria decision analysis; dominance; potential optimality; incomplete information; strict inequality; Multicriteria analysis; Linear form; Decision making; Dominance; Linear programming; Replacement; Decision analysis; Information analysis; Marketing; Uncertain system; Preference; Incomplete information; Mathematical programming
• ISSN: 0160-5682; 1476-9360
• DOI: 10.1057/jors.2010.155

This paper addresses the use of incomplete information on both multi-criteria alternative values and importance weights in evaluating decision alternatives. Incomplete information frequently takes the form of strict inequalities, such as strict orders and strict bounds. En route to prioritizing alte...