TY - GEN
T1 - Application of Fuzzy Logic in Decision-Making for Product Concept Design
AU - Hsiao, Shih Wen
AU - Su, Kuan Yun
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - We explored the feasibility and benefits of the fuzzy theory for decision-making for product conceptual design. In a highly competitive market environment, it is crucial to understand consumers' needs for the success of a product. By comprehending consumers' needs, the intended market can be targeted from the early stages of product development. If designers reflect on their ideas in design ignoring customers' expectations, they overlook technical feasibility. This also limits the innovation potential of the product. To overcome such situations, the design process needs to be established considering various factors including technology, market, competitive environment, and more. Many factors are not easily quantifiable for analysis. Therefore, we developed a set of design evaluation methods based on fuzzy theory to support product conceptual design and decision-making. The professional assessments of the design are enabled with the developed method considering the needs of the consumers. By evaluating design options with quantitative analysis, designers can enhance the competitiveness of products from the conceptual design phase.
AB - We explored the feasibility and benefits of the fuzzy theory for decision-making for product conceptual design. In a highly competitive market environment, it is crucial to understand consumers' needs for the success of a product. By comprehending consumers' needs, the intended market can be targeted from the early stages of product development. If designers reflect on their ideas in design ignoring customers' expectations, they overlook technical feasibility. This also limits the innovation potential of the product. To overcome such situations, the design process needs to be established considering various factors including technology, market, competitive environment, and more. Many factors are not easily quantifiable for analysis. Therefore, we developed a set of design evaluation methods based on fuzzy theory to support product conceptual design and decision-making. The professional assessments of the design are enabled with the developed method considering the needs of the consumers. By evaluating design options with quantitative analysis, designers can enhance the competitiveness of products from the conceptual design phase.
UR - http://www.scopus.com/inward/record.url?scp=85193257440&partnerID=8YFLogxK
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U2 - 10.1109/ECEI60433.2024.10510839
DO - 10.1109/ECEI60433.2024.10510839
M3 - Conference contribution
AN - SCOPUS:85193257440
T3 - 2024 IEEE 7th Eurasian Conference on Educational Innovation: Educational Innovations and Emerging Technologies, ECEI 2024
SP - 81
EP - 86
BT - 2024 IEEE 7th Eurasian Conference on Educational Innovation
A2 - Meen, Teen-Hang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE Eurasian Conference on Educational Innovation, ECEI 2024
Y2 - 26 January 2024 through 28 January 2024
ER -