Application of fuzzy linear regression in modeling epoxy dispensing process

H. Bai; Chun Kit Kwong

Application of fuzzy linear regression in modeling epoxy dispensing process

H. Bai
, Chun Kit Kwong

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

This paper develops a process modeling method of epoxy dispensing for microchip encapsulation based on Tanaka's fuzzy regression approach, in which the deviations between the observed values and the estimated values are expressed as the possibilities using fuzzy concept rather than statistical. In the paper, two kinds of fuzzy regression models for Fill and Dam processes of Epoxy dispensing process, expressing the correlation between various process parameters and the two quality characteristics respectively, have been developed. Validation experiments have been performed to demonstrate the effectiveness of the process modeling method.

Original language	English
Title of host publication	IEEE International Engineering Management Conference
Pages	1121-1125
Number of pages	5
Publication status	Published - 1 Dec 2004
Event	Proceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004 - , Singapore Duration: 18 Oct 2004 → 21 Oct 2004

Conference

Conference	Proceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004
Country/Territory	Singapore
Period	18/10/04 → 21/10/04

Keywords

Epoxy dispensing process
Fuzzy linear regression

ASJC Scopus subject areas

General Engineering
Management Science and Operations Research

Cite this

@inproceedings{aa116d4ea104479d87768e920553155b,

title = "Application of fuzzy linear regression in modeling epoxy dispensing process",

abstract = "This paper develops a process modeling method of epoxy dispensing for microchip encapsulation based on Tanaka's fuzzy regression approach, in which the deviations between the observed values and the estimated values are expressed as the possibilities using fuzzy concept rather than statistical. In the paper, two kinds of fuzzy regression models for Fill and Dam processes of Epoxy dispensing process, expressing the correlation between various process parameters and the two quality characteristics respectively, have been developed. Validation experiments have been performed to demonstrate the effectiveness of the process modeling method.",

keywords = "Epoxy dispensing process, Fuzzy linear regression",

author = "H. Bai and Kwong, \{Chun Kit\}",

year = "2004",

month = dec,

day = "1",

language = "English",

pages = "1121--1125",

booktitle = "IEEE International Engineering Management Conference",

note = "Proceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004 ; Conference date: 18-10-2004 Through 21-10-2004",

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TY - GEN

T1 - Application of fuzzy linear regression in modeling epoxy dispensing process

AU - Bai, H.

AU - Kwong, Chun Kit

PY - 2004/12/1

Y1 - 2004/12/1

N2 - This paper develops a process modeling method of epoxy dispensing for microchip encapsulation based on Tanaka's fuzzy regression approach, in which the deviations between the observed values and the estimated values are expressed as the possibilities using fuzzy concept rather than statistical. In the paper, two kinds of fuzzy regression models for Fill and Dam processes of Epoxy dispensing process, expressing the correlation between various process parameters and the two quality characteristics respectively, have been developed. Validation experiments have been performed to demonstrate the effectiveness of the process modeling method.

AB - This paper develops a process modeling method of epoxy dispensing for microchip encapsulation based on Tanaka's fuzzy regression approach, in which the deviations between the observed values and the estimated values are expressed as the possibilities using fuzzy concept rather than statistical. In the paper, two kinds of fuzzy regression models for Fill and Dam processes of Epoxy dispensing process, expressing the correlation between various process parameters and the two quality characteristics respectively, have been developed. Validation experiments have been performed to demonstrate the effectiveness of the process modeling method.

KW - Epoxy dispensing process

KW - Fuzzy linear regression

UR - https://www.scopus.com/pages/publications/17644364789

M3 - Conference article published in proceeding or book

SP - 1121

EP - 1125

BT - IEEE International Engineering Management Conference

T2 - Proceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004

Y2 - 18 October 2004 through 21 October 2004

ER -

Application of fuzzy linear regression in modeling epoxy dispensing process

Abstract

Conference

Keywords

ASJC Scopus subject areas

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