@article{oai:oiu.repo.nii.ac.jp:00000253,
 author = {中村, 俊輔 and 古殿, 幸雄 and ナカムラ, シュンスケ and コドノ, ユキオ and Nakamura, Shunsuke and Kodono, Yukio},
 issue = {2},
 journal = {国際研究論叢 : 大阪国際大学紀要, OIU journal of international studies},
 month = {Jan},
 note = {P(論文), This article seeks to determine demand forecast factors by constructing a fuzzy reasoning model combining meteorological and management data.
 Analysis of the relationship between daily sales, the number of customers and weather factors was performed using analysis of variance and the resulting data
examined using linear regression analysis.
 The above method of creating a consumer demand forecasting model using fuzzy inference is recommended due to its straightforward nature and effectiveness
with rough meteorological data.},
 pages = {31--52},
 title = {重回帰分析を用いる気象データからのファジィ推論モデルの構築},
 volume = {19},
 year = {2006}
}