Forecasting the Sales of Passenger Car with Telematics—Comparison of Linear Regression and Fuzzy Linear Regression
碩士 === 大葉大學 === 工業工程與科技管理學系碩士在職專班 === 93 === As the technology is progressing, many application products or functions are combined with the traditional vehicle guidance systems so as to be available on the car. Thus, Telematics is developed. This research will be aimed at the passenger car for the s...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2005
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/80787097489672389793 |
| Summary: | 碩士 === 大葉大學 === 工業工程與科技管理學系碩士在職專班 === 93 === As the technology is progressing, many application products or functions are combined with the traditional vehicle guidance systems so as to be available on the car. Thus, Telematics is developed. This research will be aimed at the passenger car for the sales forecast. Telematics vehicle of our research is made on the regression analysis of Taiwan: from Aug. 2002 to Dec. 2004. The forecast models of Telematics vehicle sales used in this study are the multiple linear regression analysis (MLR) and the fuzzy linear regression (FLR). Explanations referred to the variables are collected from previous documents and related research institution. The explanation variable can be roughly divided into the environment variables, market variables and industrial variables, etc. Furthermore, due to the vagueness of data we apply the fuzzy linear regression for including subjective perceivements. Study results show the predictive ability of MLR is better than that of FLR.
|
|---|