Conceptual fuzzy temporal relational model (FTRM) for patient data

  • Authors:

  • Aqil Burney;Nadeem Mahmood;Tahseen Jilani;Hussain Saleem

  • Affiliations:

  • Department of Computer Science, UBIT, University of Karachi, Karachi, Pakistan;Department of Computer Science, UBIT, University of Karachi, Karachi, Pakistan;Department of Computer Science, UBIT, University of Karachi, Karachi, Pakistan;Department of Computer Science, UBIT, University of Karachi, Karachi, Pakistan

  • Venue:
  • WSEAS Transactions on Information Science and Applications
  • Year:
  • 2010

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Abstract

Classical relational model offer very little built-in support for managing time varying data. Relational model mainly deal with crisp data and not with imprecise data. Managing temporal data in the relational environment keeping the imprecise and fuzzy nature of the data requires the extension of the relational model. Small numbers of extended models at conceptual level are proposed and there is no significant implementation of such model exists. Importance of developing ontological framework for imprecise data and temporal data is required in many applications such as health and patient databases. In this paper we propose a temporal fuzzy ontology for patient data in a hospital environment. On the basis of the ontology defined we propose a conceptual fuzzy temporal relational model (FTRM) for handling time varying attributes and fuzzy attributes in the relational database environment. The proposed model is easy to define, manage and incorporates the important and relevant features in the target fuzzy temporal relational model.