文章基本信息

标题：A Demand Forecasting Methodology for Fuzzy Environments
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作者：Özgür Kabak (Istanbul Technical University ; Turkey) Füsun Ülengin (Doğuş University, Turkey)
期刊名称：Journal of Universal Computer Science
印刷版ISSN：0948-6968
出版年度：2010
卷号：16
期号：1
出版社：Graz University of Technology and Know-Center
摘要：Several supply chain and production planning models in the literature assume the demands are fuzzy but most of them do not offer a specific technique to derive the fuzzy demands. In this study, we propose a methodology to obtain a fuzzy-demand forecast that is represented by a possibilistic distribution. The fuzzy-demand forecast is found by aggregating forecasts based on different sources; namely statistical forecasting methods and experts judgments. In the methodology, initially, the forecast derived from the statistical forecasting techniques and experts judgments are represented by triangular possibilistic distributions. Subsequently, those results are combined by using weights assigned to each of them. A new objective weighting approach is used to find the weights. The proposed methodology is illustrated by an example and a sensitivity analysis is provided.
关键词：Fuzzy-demand forecast, aggregation, objective weights