A survey on stochastic multicriteria acceptability analysis methods
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Open Access
- 19 November 2007
- journal article
- research article
- Published by Wiley in Journal of Multi-Criteria Decision Analysis
- Vol. 15 (1-2) , 1-14
- https://doi.org/10.1002/mcda.407
Abstract
Stochastic multicriteria acceptability analysis (SMAA) comprises a family of multiple criteria decision‐aiding (MCDA) methods for problems including incomplete, imprecise, and uncertain information. Methods of the family allow solving MCDA problems of various types. Even though the methods have been applied in the past in various real‐life decision‐making situations, the structure of a unified SMAA framework has not been studied. In this paper we describe the methods of the family and define a unified SMAA framework. We also point out the key points in the methodology for future research. Copyright © 2007 John Wiley & Sons, Ltd.Keywords
This publication has 31 references indexed in Scilit:
- SMAA - Stochastic multiobjective acceptability analysisPublished by Elsevier ,2011
- Elevator planning with stochastic multicriteria acceptability analysisOmega, 2008
- Reference point approach for multiple decision makersEuropean Journal of Operational Research, 2005
- Evaluating the management strategies of a forestland estate—the S-O-S approachJournal of Environmental Management, 2003
- Ordinal criteria in stochastic multicriteria acceptability analysis (SMAA)European Journal of Operational Research, 2003
- Multicriteria approval and SMAA‐O in natural resources decision analysis with both ordinal and cardinal criteriaJournal of Multi-Criteria Decision Analysis, 2003
- Locating a waste treatment facility by using stochastic multicriteria acceptability analysis with ordinal criteriaEuropean Journal of Operational Research, 2002
- A sweep-plane algorithm for generating random tuples in simple polytopesMathematics of Computation, 1998
- Varieties of ignorance and the need for well-founded theoriesInformation Sciences, 1991
- Multiple‐attribute decision making with partial information: The comparative hypervolume criterionNaval Research Logistics Quarterly, 1978