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Simulation Support to Grey-Related Analysis: Data Mining Simulation

  • David L. Olson
  • Desheng Wu
Part of the Springer Optimization and Its Applications book series (SOIA, volume 16)

Abstract

This chapter addresses the use of Monte Carlo simulation to reflect uncertainty as expressed by fuzzy input. Fuzziness is expressed through grey-related analysis, using interval fuzzy numbers. The method standardizes inputs through norms of interval number vectors. Interval-valued indexes are used to apply multiplicative operations over interval numbers. The method is demonstrated on a practical problem. Simulation offers a more complete understanding of the possible outcomes of alternatives as expressed by fuzzy numbers. The focus is on probability rather than on maximizing expected or extreme values.

Key words

Fuzzy sets Monte Carlo simulation grey-related analysis data mining 

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Copyright information

© Springer Science + Business Media, LLC 2008

Authors and Affiliations

  • David L. Olson
    • 1
  • Desheng Wu
    • 2
    • 3
  1. 1.Department of ManagementUniversity of NebraskaLincoln
  2. 2.Department of Mechanical and Industrial EngineeringUniversity of TorontoToronto
  3. 3.School of BusinessUniversity of Science and Technology of ChinaHefei AnhuiChina

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