A Hybrid Fuzzy Decision Model for Evaluating MEMS and IC Integration Technologies
Integrated devices incorporating MEMS (microelectromechanical systems) with IC (integrated circuit) components have been becoming increasingly important in the era of IoT (Internet of Things). In this study, a hybrid fuzzy MCDM (multi-criteria decision making) model was proposed to effectively evalu...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Micromachines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-666X/12/3/276 |
| _version_ | 1797412805792497664 |
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| author | Qian-Yo Lee Ming-Xuan Lee Yen-Chun Lee |
| author_facet | Qian-Yo Lee Ming-Xuan Lee Yen-Chun Lee |
| author_sort | Qian-Yo Lee |
| collection | DOAJ |
| description | Integrated devices incorporating MEMS (microelectromechanical systems) with IC (integrated circuit) components have been becoming increasingly important in the era of IoT (Internet of Things). In this study, a hybrid fuzzy MCDM (multi-criteria decision making) model was proposed to effectively evaluate alternative technologies that incorporate MEMS with IC components. This model, composed of the fuzzy AHP (analytic hierarchy process) and fuzzy VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) methods, solves the decision problem of how best to rank MEMS and IC integration technologies in a fuzzy environment. The six important criteria and the major five alternative technologies associated with our research themes were explored through literature review and expert investigations. The priority weights of criteria were derived using fuzzy AHP. After that, fuzzy VIKOR was deployed to rank alternatives. The empirical results show that development schedule and manufacturing capability are the two most important criteria and 3D (three-dimensional) SiP (system-in-package) and monolithic SoC (system-on-chip) are the top two favored technologies. The proposed fuzzy decision model could serve as a reference for the future strategic evaluation and selection of MEMS and IC integration technologies. |
| first_indexed | 2024-03-09T05:07:25Z |
| format | Article |
| id | doaj.art-dfd178056e044d46a63d6caab70a3320 |
| institution | Directory Open Access Journal |
| issn | 2072-666X |
| language | English |
| last_indexed | 2024-03-09T05:07:25Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj.art-dfd178056e044d46a63d6caab70a33202023-12-03T12:53:22ZengMDPI AGMicromachines2072-666X2021-03-0112327610.3390/mi12030276A Hybrid Fuzzy Decision Model for Evaluating MEMS and IC Integration TechnologiesQian-Yo Lee0Ming-Xuan Lee1Yen-Chun Lee2Department of Biomechatronic Engineering, National Chiayi University, No. 300, Syuefu Rd., Chiayi City 600355, TaiwanGraduate Institute of Electronics Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei City 10617, TaiwanInstitute of Management of Technology, National Yang Ming Chiao Tung University, No. 1001, University Rd., Hsinchu City 300, TaiwanIntegrated devices incorporating MEMS (microelectromechanical systems) with IC (integrated circuit) components have been becoming increasingly important in the era of IoT (Internet of Things). In this study, a hybrid fuzzy MCDM (multi-criteria decision making) model was proposed to effectively evaluate alternative technologies that incorporate MEMS with IC components. This model, composed of the fuzzy AHP (analytic hierarchy process) and fuzzy VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) methods, solves the decision problem of how best to rank MEMS and IC integration technologies in a fuzzy environment. The six important criteria and the major five alternative technologies associated with our research themes were explored through literature review and expert investigations. The priority weights of criteria were derived using fuzzy AHP. After that, fuzzy VIKOR was deployed to rank alternatives. The empirical results show that development schedule and manufacturing capability are the two most important criteria and 3D (three-dimensional) SiP (system-in-package) and monolithic SoC (system-on-chip) are the top two favored technologies. The proposed fuzzy decision model could serve as a reference for the future strategic evaluation and selection of MEMS and IC integration technologies.https://www.mdpi.com/2072-666X/12/3/276technology evaluationMEMS and IC integrationMCDMfuzzy AHPfuzzy VIKOR |
| spellingShingle | Qian-Yo Lee Ming-Xuan Lee Yen-Chun Lee A Hybrid Fuzzy Decision Model for Evaluating MEMS and IC Integration Technologies Micromachines technology evaluation MEMS and IC integration MCDM fuzzy AHP fuzzy VIKOR |
| title | A Hybrid Fuzzy Decision Model for Evaluating MEMS and IC Integration Technologies |
| title_full | A Hybrid Fuzzy Decision Model for Evaluating MEMS and IC Integration Technologies |
| title_fullStr | A Hybrid Fuzzy Decision Model for Evaluating MEMS and IC Integration Technologies |
| title_full_unstemmed | A Hybrid Fuzzy Decision Model for Evaluating MEMS and IC Integration Technologies |
| title_short | A Hybrid Fuzzy Decision Model for Evaluating MEMS and IC Integration Technologies |
| title_sort | hybrid fuzzy decision model for evaluating mems and ic integration technologies |
| topic | technology evaluation MEMS and IC integration MCDM fuzzy AHP fuzzy VIKOR |
| url | https://www.mdpi.com/2072-666X/12/3/276 |
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