### Abstract

In modeling systems where human estimation is influential, a fuzzy structure of systems must be considered. This structure is represented by fuzzy linear functions which are possibility distributions. The possibility of fuzzy linear functions can be calculated from the viewpoint of possibility measures. A fuzzy linear regression analysis is formulated by using fuzzy linear functions as a model of fuzzy structure of systems. As an example of this problem, we discuss three formulations in the decision model of the number of staff in local governments. The estimated values are obtained as fuzzy numbers which represent the fuzziness of the system structure.

Original language | English |
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Place of Publication | Boca Raton, FL, USA |

Publisher | CRC Press Inc |

Number of pages | 13 |

ISBN (Print) | 0849362989 |

Publication status | Published - 1987 |

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### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*FUZZY LINEAR REGRESSION ANALYSIS OF THE NUMBER OF STAFF IN LOCAL GOVERNMENT.*Boca Raton, FL, USA: CRC Press Inc.

**FUZZY LINEAR REGRESSION ANALYSIS OF THE NUMBER OF STAFF IN LOCAL GOVERNMENT.** / Tanaka, H.; Shimomura, T.; Watada, J.; Asai, K.

Research output: Book/Report › Book

*FUZZY LINEAR REGRESSION ANALYSIS OF THE NUMBER OF STAFF IN LOCAL GOVERNMENT.*CRC Press Inc, Boca Raton, FL, USA.

}

TY - BOOK

T1 - FUZZY LINEAR REGRESSION ANALYSIS OF THE NUMBER OF STAFF IN LOCAL GOVERNMENT.

AU - Tanaka, H.

AU - Shimomura, T.

AU - Watada, J.

AU - Asai, K.

PY - 1987

Y1 - 1987

N2 - In modeling systems where human estimation is influential, a fuzzy structure of systems must be considered. This structure is represented by fuzzy linear functions which are possibility distributions. The possibility of fuzzy linear functions can be calculated from the viewpoint of possibility measures. A fuzzy linear regression analysis is formulated by using fuzzy linear functions as a model of fuzzy structure of systems. As an example of this problem, we discuss three formulations in the decision model of the number of staff in local governments. The estimated values are obtained as fuzzy numbers which represent the fuzziness of the system structure.

AB - In modeling systems where human estimation is influential, a fuzzy structure of systems must be considered. This structure is represented by fuzzy linear functions which are possibility distributions. The possibility of fuzzy linear functions can be calculated from the viewpoint of possibility measures. A fuzzy linear regression analysis is formulated by using fuzzy linear functions as a model of fuzzy structure of systems. As an example of this problem, we discuss three formulations in the decision model of the number of staff in local governments. The estimated values are obtained as fuzzy numbers which represent the fuzziness of the system structure.

UR - http://www.scopus.com/inward/record.url?scp=0023534564&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0023534564&partnerID=8YFLogxK

M3 - Book

AN - SCOPUS:0023534564

SN - 0849362989

BT - FUZZY LINEAR REGRESSION ANALYSIS OF THE NUMBER OF STAFF IN LOCAL GOVERNMENT.

PB - CRC Press Inc

CY - Boca Raton, FL, USA

ER -