Implementing stochastic multicriteria acceptability analysis

• Author(s): Tervonen, Tommi ; Lahdelma, Risto
• Date: 2007
• Persistent ID: http://hdl.handle.net/10316/5491
• Origin: Estudo Geral - Universidade de Coimbra
• Subject(s): Stochastic multicriteria acceptability analysis; Simulation; Multiple criteria analysis; Complexity analysis
• Document Type: Article
• Language: English

Description

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. http://www.sciencedirect.com/science/article/B6VCT-4JRM07X-1/1/519bb7e11536f8bb8582526f0b25b76d