## Abstract

Regression analysis is a powerful statistical tool used by engineers to predict infrastructure condition. The primary goal of the regression analysis is to find a best fitted mathematical model, so that a dependent variable can be forecasted from independent variables. Essentially, ordinary regression analysis is used to handle crisp data rather than fuzzy (non-crisp) data obtained from expert's subjective judgments. Therefore, the use of conventional regression technique is inappropriate when the dependent variable (condition rating) is a non-crisp or discrete variable. An An illustrative example regarding the cost estimate of excavation construction was exemplified. The results demonstrate the capability of the model that can assist cost engineers to better assess construction costs.

Original language | English |
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Title of host publication | Proceedings of the 5th International Conference on Engineering Computational Technology |

Publication status | Published - 2006 |

Event | 5th International Conference on Engineering Computational Technology, ECT 2006 - Las Palmas de Gran Canaria, Spain Duration: 2006 Sept 12 → 2006 Sept 15 |

### Other

Other | 5th International Conference on Engineering Computational Technology, ECT 2006 |
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Country/Territory | Spain |

City | Las Palmas de Gran Canaria |

Period | 06-09-12 → 06-09-15 |

## All Science Journal Classification (ASJC) codes

- General Computer Science