| Abstract
| - A model for the completion and balancing of inconsistent inorganic reactions is presented. A series offuzzy parameters is proposed. These parameters are considered within a knowledge frame representinginorganic 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 tothe 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 possiblesolution set. Incorporation of the proposed model into an inorganic chemistry formulation system wouldcontribute to the development of powerful computer-assisted learning systems, given the extent of informationextracted from a reaction.
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