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| Author: | Lahdelma, R. Salminen, P. |
| Title: | Pseudo-criteria versus linear utility function in stochastic multi-criteria acceptability analysis |
| Journal: | European Journal of Operational Research
2002 : SEP, VOL. 141:2, p. 454-469 |
| Index terms: | DECISION MAKING UTILITY FUNCTIONS MULTIPLE FACTOR ANALYSIS ANALYTICAL REVIEW |
| Language: | eng |
| Abstract: | Stochastic multi-criteria acceptability analysis (SMAA) is a multi-criteria decision support method for multiple decision-makers (DMs) in discrete problems. SMAA does not require explicit or implicit preference information from the DMs. Instead, the method is based on exploring the weight space in order to describe the valuations that would make each alternative the preferred one. Partial preference information can be represented in the weight space analysis through weight distributions. In this paper the authors compare two variants of the SMAA method using randomly generated test problems with 2-12 criteria and 4-12 alternatives. In the original SMAA, a utility or value function models the DMs' preference structure, and the inaccuracy or uncertainty of the criteria is represented by probability distributions. |
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