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This collection of Python3 modules provides a large range of implemented decision aiding algorithms useful in the field of outranking digraphs based Multiple Criteria Decision Aid (MCDA), especially best choice, linear ranking and absolute or relative rating algorithms with multiple incommensurable criteria. Technical documentation and tutorials are available under the following link: https://digraph3.readthedocs.io/en/latest/ The tutorials introduce the main objects like digraphs, outranking digraphs and performance tableaux. There is also a tutorial provided on undirected graphs. Some tutorials are problem oriented and show how to compute the winner of an election, how to build a best choice recommendation, or how to linearly rank or rate with multiple incommensurable performance criteria. ...

Accompanying software for the paper "Optimal Decision Rules for the Discursive Dilemma", by A. Alabert, M. Farré and R. Montes (https://arxiv.org/abs/2210.13100). Computes a ranking of the best decision rules according to a quantitative criterion based on the minimisation of the combined probabilities of false positives and false negatives

The purpose of this program is to introduce a little more the history of the presidents of the United States. For Windows you can run this .exe file. For other operating systems you can run it from the sources : https://github.com/hamdyaea/USA-Presidents-history Developer - Author : Hamdy Abou El Anein

...Jeneo allow you to create your pedigree tree visually, add pedigree links (child) and (i need that feature first off all - in fact that is why a i've written this app) add photos to your relatives. Jeneo home page has moved to bitbucket. Please visit jeneo wiki at https://bitbucket.org/legeyda/jeneo/wiki/jeneo.en.

...For more information on Gramps, see http://gramps-project.org/ Addons for the following Gramps series of releases ( 3.2.x / 3.3.x / 3.4.x / 4.0.x / 4.1.x ) source code can be found here: https://sourceforge.net/p/gramps-addons/code/HEAD/tree/ From Gramps 4.2.x series onwards the Addons are available from: https://github.com/gramps-project/addons-source

The Virtual Commons (http://commons.asu.edu) is an open software initiative devoted to computational experiments on collective action and resource governance and funded by Arizona State University's Center for Behavior, Institutions, and the Environment (http://cbie.asu.edu). NOTE: we've moved our development to GitHub at https://github.com/virtualcommons - please look for the latest versions there.