Solving incomplete inorganic chemical systems through a fuzzy knowledge frame

A model for the completion and balancing of inconsistent inorganic reactions is presented. A series of fuzzy parameters is proposed. These parameters are considered within a knowledge frame representing inorganic reactions via a semantic/functional network and, through the calculation of possibility measures, allow the completion and solution of such reactions by considering new inorganic species to be added to the reaction. Species to be added are formulated on the basis of atoms present and/or absent in the reaction, along with valence, system features, and a series of flags that determines the cardinality of the possible solution set. Incorporation of the proposed model into an inorganic chemistry formulation system would contribute to the development of powerful computer-assisted learning systems, given the extent of information extracted from a reaction.