Modeling and Optimization of Information Retrieval for Perception-Based Information

  • Alexander Ryjov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7670)

Abstract

The properties of human beings as a “measurement device” have been studied in this article. It is assumed that the person describes the properties of real objects in the form of linguistic values; the human’s descriptions of objects make a data base of some data management system. Is it possible to define the indices of quality of information retrieval in such fuzzy (linguistic) databases and to formulate a rule for the selection of such a set of linguistic values, use of which would provide the maximum indices of quality of information retrieval? It is shown that it is possible to introduce indices of the quality of information retrieval in fuzzy (linguistic) databases and to formalize them. It is shown that it is possible to formulate a method of selecting the optimum set of values of qualitative attributes which provides the maximum quality indices of information retrieval. Moreover, it is shown that such a method is stable, i.e. the natural small errors in the construction of the membership functions do not have a significant effect on the selection of the optimum set of values.

Keywords

Membership Function Information Retrieval Real Object Data Management System Fuzzy Variable 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Alexander Ryjov
    • 1
  1. 1.Chair of Mathematical Foundations of Intelligent Systems, Department of Mechanics and MathematicsLomonosov’ Moscow State UniversityMoscowRussia

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