Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Fuzzy Linear Regression Model Using the Least Hausdorf-distance Square Method

  • Choi, Sang-Sun (Department of Statistics, Kyungpook National University) ;
  • Hong, Dug-Hun (School of Mechanical and Automotive Engineering, Catholic University) ;
  • Kim, Dal-Ho (Department of Statistics, Kyungpook National University)
  • Published : 2000.12.01

Abstract

In this paper, we review some class of t-norms on which fuzzy arithmetic operations preserve the shapes of fuzzy numbers and the Hausdorff-distance between fuzzy numbers as the measure of distance between fuzzy numbers. And we suggest the least Hausdorff-distance square method for fuzzy linear regression model using shape preserving fuzzy arithmetic operations.

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