Evaluating and comparing entrepreneurial ecosystems using SMAA and SMAA-S

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

Classifying Alternatives in SMAA Using Cross Confidence Factors

Stochastic multicriteria acceptability analysis (SMAA) is a family of methods for aiding multicriteria group decision making. 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 give a certain rank for a specific alternative. The main results of the analysis are rank acceptability indices, central ...

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...