Title: Implementing stochastic multicriteria acceptability analysis
Authors: Tervonen, Tommi 
Lahdelma, Risto 
Keywords: Stochastic multicriteria acceptability analysis;Simulation;Multiple criteria analysis;Complexity analysis
Issue Date: 2007
Citation: European Journal of Operational Research. 178:2 (2007) 500-513
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.
URI: http://hdl.handle.net/10316/5491
Rights: openAccess
Appears in Collections:FEUC- Artigos em Revistas Internacionais

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