access icon free Scheduling Semiconductor Wafer Fabrication Using a New Fuzzy Association Classification Rules Based on Dynamic Fuzzy Partition

This paper proposes a dynamic fuzzy partition method of attribute domain suitable for the scheduling problem of Semiconductor wafer fabrication (SWF). Then, based on the above partition method, this paper gives a new Fuzzy association classification rules (FACRs) for scheduling SWF. Also, this paper presents a corresponding simple mining method used to obtain the effective FACRs based on the Apriori algorithm. Furthermore, a Harmony search (HS) algorithm is designed to determine the rule parameters including the minimum fuzzy support and the total number of linguistic values of each condition attribute for the simple fuzzy partition. At last, computational simulations and comparisons based on the practical data are provided. It is shown that the proposed FACRs can generate better results for almost all problem instances.

Inspec keywords: data mining; scheduling; search problems; electronic engineering computing; semiconductor technology; fuzzy set theory

Other keywords: FACRs; fuzzy association classification rules; minimum fuzzy support; HS algorithm; linguistic values; Apriori algorithm; semiconductor wafer fabrication scheduling; harmony search algorithm; attribute domain; dynamic fuzzy partition method; SWF; data mining method

Subjects: General fabrication techniques; Optimisation techniques; Optimisation techniques; Data handling techniques; Semiconductor technology; Combinatorial mathematics; Knowledge engineering techniques; Combinatorial mathematics; Electronic engineering computing

http://iet.metastore.ingenta.com/content/journals/10.1049/cje.2016.11.006
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