Infusion Seat Design Integrating AHP-CRITIC-FKM-TOPSIS Model

LIU Jing, SONG Xiuxiu, ZENG Zishan, YU Jia, SUN Wen

Packaging Engineering ›› 2025, Vol. 46 ›› Issue (12) : 144-153.

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Packaging Engineering ›› 2025, Vol. 46 ›› Issue (12) : 144-153. DOI: 10.19554/j.cnki.1001-3563.2025.12.013
Industrial Design

Infusion Seat Design Integrating AHP-CRITIC-FKM-TOPSIS Model

  • LIU Jing1, SONG Xiuxiu2, ZENG Zishan1, YU Jia1, SUN Wen1*
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Abstract

The work aims to propose a theoretical method integrating the AHP-CRITIC-FKM-TOPSIS model and apply it in the decision-making of infusion seat design solutions, so as to solve the optimization problem of infusion seat design solutions. Firstly, a hierarchical model of evaluation indicators was constructed through user interviews, expert consultations, and other methods. Then, the Analytic Hierarchy Process (AHP) and the Criteria Importance Through Intercriteria Correlation (CRITIC) Weight Method were applied to solve the subjective and objective weights of evaluation indicators to determine the combination weights, while considering user satisfaction preferences and introducing a Fuzzy Kano Model (FKM) to obtain the attribute categories of evaluation indicators, and modify the combination weights based on them. Finally, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) sorting method was used to determine the closeness of the design solution, to complete the ranking and optimization of the design solution. The AHP-CRITIC-FKM-TOPSIS integrated model helps designers solve the problem of optimal selection in the decision-making process of multiple solutions, while integrating user satisfaction preferences to make the optimal solution results more in line with user expectations.

Key words

design decisions / AHP / CRITIC / FKM / TOPSIS / weight correction / infusion seat

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LIU Jing, SONG Xiuxiu, ZENG Zishan, YU Jia, SUN Wen. Infusion Seat Design Integrating AHP-CRITIC-FKM-TOPSIS Model[J]. Packaging Engineering. 2025, 46(12): 144-153 https://doi.org/10.19554/j.cnki.1001-3563.2025.12.013

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