### Abstract

In this paper we will show some examples for computing the possibilistic correlation coefficient between marginal distributions of a joint possibility distribution. First we consider joint possibility distributions, (1-x-y), (1-x ^{2}-y ^{2}), and (1-x ^{2}-y) on the set {(x,y)≡R^{2}| x≥0,y≥0,x+y≤1}, then we will show (i) how the possibilistic correlation coefficient of two linear marginal possibility distributions changes from zero to -1/2, and from -1/2 to -3/5 by taking out bigger and bigger parts from the level sets of a their joint possibility distribution; (ii) how to compute the autocorrelation coefficient of fuzzy time series with linear fuzzy data.

Original language | English |
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Title of host publication | Computational Intelligence in Engineering |

Editors | Imre Rudas |

Pages | 153-170 |

Number of pages | 18 |

DOIs | |

Publication status | Published - Nov 3 2010 |

### Publication series

Name | Studies in Computational Intelligence |
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Volume | 313 |

ISSN (Print) | 1860-949X |

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### ASJC Scopus subject areas

- Artificial Intelligence

### Cite this

*Computational Intelligence in Engineering*(pp. 153-170). (Studies in Computational Intelligence; Vol. 313). https://doi.org/10.1007/978-3-642-15220-7_13