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Erschienen in:
2017 | OriginalPaper | Buchkapitel
One-Way ANOVA Model with Fuzzy Data for Consumer Demand
verfasst von : Pei Chun Lin, Nureize Arbaiy, Isredza Rahmi Abd. Hamid
Erschienen in: Recent Advances on Soft Computing and Data Mining
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Abstract
This paper presents a statistical method which could distinguish the customer’s demand into different type whereby fuzzy data is in consideration. A one-way analysis of variance (ANOVA) model for fuzzy data is introduced with hypothesis test, \( F \)-test, which is the pivot statistic in ANOVA model. In the experiment, several different factors in testing with one-way ANOVA model are considered. The results of this study indicate that the solution method introduced in this paper could give decision maker a result with favorable degree of each factor. This kind of result is beneficial to the decision maker and retailer to distinguish which factor is the most critical for the customer and with how much amount of products would be allocated for customers.