Fast Fuzzy Control of Warranty Claims System
Author(s) -
Sang Hyun Lee,
Sung-Eui Cho,
Kyung-Li Moon
Publication year - 2010
Publication title -
journal of information processing systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.288
H-Index - 23
eISSN - 2092-805X
pISSN - 1976-913X
DOI - 10.3745/jips.2010.6.2.209
Subject(s) - warranty , computer science , reliability (semiconductor) , fuzzy logic , product (mathematics) , reliability engineering , control (management) , risk analysis (engineering) , artificial intelligence , business , mathematics , power (physics) , physics , geometry , quantum mechanics , political science , law , engineering
Classical warranty plans require crisp data obtained from strictly controlled reliability tests. However, in a real situation these requirements might not be fulfilled. In an extreme case, the warranty claims data come from users whose reports are expressed in a vague way. Furthermore, there are special situations where several characteristics are used together as criteria for judging the warranty eligibility of a failed product. This paper suggests a fast reasoning model based on fuzzy logic to handle multi-attribute and vague warranty data.
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