An argument-based framework developed during my PhD research. It provides a JavaScript graphical interface for the creation of arguments and counter-arguments designed to reason with numerical data. It is a case-by-case inference tool that does not rely on training and tests sets.
Custom implementation of fuzzy reasoning models, employing a Mandani fuzzy inference process, and a non-monotonic layer through Possibility Theory for resolving contractions. It includes support for definition of rules, contradictions, and a number of shapes for fuzzy membership functions using text files.
MiningMath provides technology to mine planning by integrating economic, technical, and socio-environmental aspects of the mining business. In 2010, it was conceived as a consulting company from the union of multidisciplinary professionals, culminiting in a platform with a flexible algorithm that consists of a Mixed Integer Linear Programming (MILP) formulation and linearization methods that tackle the challenging non-linear aspects of mining optimization.