STOKASTİK ÇOK KRİTERLİ KARAR VERMEDE İKİ YENİ YÖNTEM: SMAA- GRİ İLİŞKİSEL ANALİZ ve SMAA-DEMATEL-GRİ İLİŞKİSEL ANALİZ

SMAA: Enhanced Subpixel Morphological Antialiasing

We present a new image-based, post-processing antialiasing technique, which offers practical solutions to the common, open problems of existing filter-based real-time antialiasing algorithms. Some of the new features include local contrast analysis for more reliable edge detection, and a simple and effective way to handle sharp geometric features and diagonal lines. This, along with our acceler...

The SMAA-PROMETHEE method

PROMETHEEmethods are widely used in Multiple Criteria Decision Aiding (MCDA) to deal with real world decision making problems. In this paper, we propose to apply the Stochastic Multicriteria Acceptability Analysis (SMAA) to the family of PROMETHEEmethods in order to explore the whole set of parameters compatible with some preference information provided by the Decision Maker (DM). The applicati...

SMAA-GAIA: A Complementary Tool of the SMAA-PROMETHEE Method CoDE-SMG – Technical Report Series

JSMAA: an open source software for SMAA computations

Most software for Multiple Criteria Decision Analysis (MCDA) implement a small set of compatible methods in a closed monolithic software. Sometimes, however, the model can be generated through external information sources and therefore the supporting software should enable their integration. This paper motivates the need for model generation through existing applications of Stochastic Multicrit...

Modelling Dependent Uncertainties by Multivariate Gaussian Distributions in SMAA

We consider multicriteria decision-aid (MCDA) problems with multiple decision makers. In such problems, the uncertainty or inaccuracy of the criteria measurements can be represented as probability distributions. In many real-life problems the uncertainties may be dependent. However, it is often difficult to quantify these dependencies. Also most of the existing MCDA methods are unable to handle...