A Study on the Analysis of Meteorological Factors for Demand Forecast and the Development to Fuzzy Reasoning Models

Abstract

In this paper, we propose that the factor for the demand forecast was discovered by using the business control data and meteorological data during year on the assumption of the construction of the fuzzy reasoning model. The analysis of sales of every day and the relation between the number of visitors and the meteorological factor is tried by applying a analysis of variance to these data. Then, the combination of factors with utility by a multiple linear regression analysis is examined from the extracted factor. At this time, to do meteorological data in consideration of the construction of consumer's demand forecasting model with the fuzzy reasoning, and to compose the fuzzy reasoning model easily, the temperature is analyzed rough according to the layer. And we treat it from the result of the analysis concerning the fuzzy reasoning model.