Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/127604
Title: Scheduling Semiconductor Wafer Fabrication Using a New Fuzzy Association Classification Rules Based on Dynamic Fuzzy Partition
Authors: Long Zhang;Tao Liu;Min Liu;Xionghai Wang
Year: 2017
Publisher: IET
Abstract: 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.
URI: http://localhost/handle/Hannan/127604
volume: 26
issue: 1
More Information: 112,
117
Appears in Collections:2017

Files in This Item:
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7819714.pdf385.06 kBAdobe PDF
Title: Scheduling Semiconductor Wafer Fabrication Using a New Fuzzy Association Classification Rules Based on Dynamic Fuzzy Partition
Authors: Long Zhang;Tao Liu;Min Liu;Xionghai Wang
Year: 2017
Publisher: IET
Abstract: 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.
URI: http://localhost/handle/Hannan/127604
volume: 26
issue: 1
More Information: 112,
117
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7819714.pdf385.06 kBAdobe PDF
Title: Scheduling Semiconductor Wafer Fabrication Using a New Fuzzy Association Classification Rules Based on Dynamic Fuzzy Partition
Authors: Long Zhang;Tao Liu;Min Liu;Xionghai Wang
Year: 2017
Publisher: IET
Abstract: 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.
URI: http://localhost/handle/Hannan/127604
volume: 26
issue: 1
More Information: 112,
117
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7819714.pdf385.06 kBAdobe PDF