The Python digraphs module for Rubis. This Manual ( Revision: 1.18 ) describes the Python implementation of a generic digraphs module for computing kernels and other qualified choices in bipolar-valued outranking digraphs. This computing ressource is useful in the context of the testing of the Rubis decision support method [1]. Developping the Rubis decision support methodology is an ongoing research project of Raymond Bisdorff, University of Luxembourg. The Python digraphs module is based on the optimized in-built set class and therefore requires at least version 2.4.0 of Python The basic idea of the digraphs Python module is to make easy python interactive sessions or write short Python scripts for computing all kind of results from a bipolar valued outranking digraph. These include such features as maximal independent or irredundant choices, maximal dominant or absorbent choices etc. The Python development of these computing ressources offers the advantage of an easy to write and maintain OOP source code as expected from a performing scripting language without loosing on efficiency in execution times compared to compiled languages such as C++ or Java

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  1. Bisdorff, Raymond; Meyer, Patrick; Roubens, Marc: RUBIS: a bipolar-valued outranking method for the choice problem (2008)