Artificial intelligence

Abstract: Infological modeling of data is an integral part of the resource supervising information system developing process. Ordinary crisp high-level data models do not allow to consider the imperfect information contained in the description of various types of resources and their use processes. On the basis of the analysis of the system imperfect information types, a generalized infological model was developed by extending the ER-model with the representation of fuzzy attributes. The proposed model can allow the simultaneous presentation of crisp and fuzzy attributes of entities and relationships and can be used in datalogical modeling taking into account the features of the specific enterprise production processes.

Keywords: infological model, imperfect information, resources, operation mode, resource supervising, extended ER-model, fuzzy attributes

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