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Model Based Default Data Generation For Net Systems

  • D. Singer
Conference paper
Part of the Advances in Simulation book series (ADVS.SIMULATION, volume 2)

Abstract

When realizing large databases, the main difficulties arise in the collection of data. In general a great part of data is not available on account of man power capacity for administration, due to the difficulties inherent in the measuring methods or even to the lack of time for gathering the data. Therefore, the goal is intimate to reconstruct missing data based on available ones — in other terms —, to reconstruct the missing data on the basis of implicit informations inherent in the data base.

Keywords

Fuzzy Logic Logic Inference Default Rule Implicit Information Default Data 
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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References

  1. [1]
    D. Singer, P. Moritz: DELT - Program for Generation of Default Values and for the Control of Primary Date. Report of the Computer and Automation Institute, HAS, Theme No.: 620258, December 1986, Budapest (in Hungarian).Google Scholar
  2. [2]
    LA. Zadeh: The Role of Fuzzy Logic in the Management of Uncertainty in Expert Systems, Fuzzy Sets, 11 (1983) 199–227MathSciNetMATHCrossRefGoogle Scholar

Copyright information

© Akademie-Verlag Berlin 1988

Authors and Affiliations

  • D. Singer
    • 1
  1. 1.Computer and Automation InstituteHungarian Academy of SciencesBudapestHungary

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