Implementing stochastic multicriteria acceptability analysis |
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Authors: | Tommi Tervonen Risto Lahdelma |
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Affiliation: | 1. University of Turku, Department of Information Technology, FIN-20520 Turku, Finland;2. INESC—Coimbra, R. Antero de Quental 199, 3000-033 Coimbra, Portugal;3. Faculdade de Economia da Universidade de Coimbra, Av. Dias da Silva 165, 3004-512 Coimbra, Portugal |
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Abstract: | Stochastic multicriteria acceptability analysis (SMAA) is a family of methods for aiding multicriteria group decision making in problems with inaccurate, uncertain, or missing information. These methods are based on exploring the weight space in order to describe the preferences that make each alternative the most preferred one, or that would give a certain rank for a specific alternative. The main results of the analysis are rank acceptability indices, central weight vectors and confidence factors for different alternatives. The rank acceptability indices describe the variety of different preferences resulting in a certain rank for an alternative, the central weight vectors represent the typical preferences favouring each alternative, and the confidence factors measure whether the criteria measurements are sufficiently accurate for making an informed decision. |
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Keywords: | Stochastic multicriteria acceptability analysis Simulation Multiple criteria analysis Complexity analysis |
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