文章基本信息

标题：Prediction of Automobile Warranty Reclaims using ANFIS Approach
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作者：Choi Kwang-Wook ; Lee Sang-Hyun ; Kim Cheol-sung 等
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2014
卷号：8
期号：2
页码：243-254
DOI：10.14257/ijseia.2014.8.2.24
出版社：SERSC
摘要：Basically, there are six types of warranty that can be offered either by manufacturer or dealers of a product or services which are basic warranty, extended warranty, warranty for used, repair limit warranty, service warranty and lifetime warranty. The different types of warranty policy have been established in order to fulfill the demand of manufacturers and the requirement of buyers so that a win-win situation could be acquired. However, when considering these warranty policies, an important concept to keep in mind is warranty reclaims. Warranty reclaims extend the scope of warranty activities beyond the walls of a single company to encompass suppliers, manufacturers, OEMs, distributors, dealers, repair centers, policy carriers, and customers. This paper presents a methodology to adapt historical maintenance warranty reclaims data with Adaptive Neuro Fuzzy Inference System (ANFIS) approach. The main motivations for conducting this paper are simplicity and less computational mass of the ANFIS based on linear generating functions with regard to warranty reclaims prediction.
关键词：ANFIS; Linear generating function; Two-Attribute Warranty; Warranty ; Reclaims