Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/5491
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: | https://hdl.handle.net/10316/5491 | DOI: | 10.1016/j.ejor.2005.12.037 | Rights: | openAccess |
Appears in Collections: | FEUC- Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
filedb36483b65ce48c69385829e6a244e07.pdf | 615.74 kB | Adobe PDF | View/Open |
SCOPUSTM
Citations
232
checked on Oct 7, 2024
WEB OF SCIENCETM
Citations
214
checked on Oct 2, 2024
Page view(s)
321
checked on Oct 8, 2024
Download(s) 50
715
checked on Oct 8, 2024
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.