A data-driven design module development for enhancing multi-attribute decision-making (MADM) efficacy

Mohd Zulfadli Rozali, Mohd Zulfadli Rozali and Zakaria, Anies Fazihan (2024) A data-driven design module development for enhancing multi-attribute decision-making (MADM) efficacy. In: THE 9TH INTERNATIONAL STEM EDUCATION CONFERENCE 2024 (ISTEM-ED 2024 ).

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Abstract

The development of decision-making modules that leverage data-driven design principles is crucial for enhancing the efficacy of multi-attribute decision-making (MADM) systems. This paper discussed modules, focusing on the integration of diverse attributes into the decision-making process. Five distinct modules are proposed within this framework, each tailored to address specific aspects of MADM, thereby offering a comprehensive approach to decision support. The proposed modules are conceptualized based on a thorough analysis of existing datadriven design methodologies and MADM theories, ensuring their relevance and applicability to real-world decision-making scenarios. The effectiveness and validity of the proposed framework and its modules are assessed through expert reviews. These reviews involve subject matter experts evaluating the content structure, usability, and applicability of the modules in various decisionmaking contexts. The feedback obtained from these reviews is integral to refining the modules, ensuring their alignment with the needs and expectations of end-users. For practitioners, the framework provides a structured approach to developing decision-making modules that are both robust and adaptable, capable of accommodating a wide range of decision attributes. For researchers, it offers a conceptual and methodological foundation for further exploration into data-driven design and its application in MADM. This paper contributes to the evolving field of decision support systems, highlighting the importance of structured content development in enhancing the decisionmaking capabilities of organizations and individuals alike.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Data-Driven Design, Engineering Education, MADM, Decision Making, Module Development
Subjects:	Q Science > QA Mathematics
Divisions:	Faculty of Technical and Vocational Education > FPTV
Depositing User:	Mrs. Sabarina Che Mat
Date Deposited:	21 Jan 2025 07:15
Last Modified:	21 Jan 2025 07:15
URI:	http://eprints.uthm.edu.my/id/eprint/11999

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