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Representation of Expert Knowledge on Product Design Problems Using Fuzzy Cognitive Maps

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Advances in Computational Intelligence. MICAI 2023 International Workshops (MICAI 2023)

Abstract

An increasing number of companies are seeking to integrate design as a strategic capability to address contemporary business and societal challenges. However, effectively integrating design into an organization poses challenges due to the limited understanding of how to manage this process and assess its impact. This study explores a model based on fuzzy cognitive maps for measuring the impact of design within projects at an organizational level. This model establishes causal relationships among four key layers: design decisions, design metrics, business metrics, and product lifecycle. These layers encompass underlying concepts that can be represented using fuzzy variables, enabling the modeling of a complex system as a Fuzzy Cognitive Map (FCM) in order to visually represent expert knowledge. This approach facilitates the visualization and examination of potential scenarios within the organizational context. The proposed model provides an alternative or complement to existing methods for measuring the impact of design on projects within an organization. To illustrate this, a real-world problem is presented by describing the application of an FCM to evaluate the workflow of a specific operation known as “Digital CVV on-off” feature.

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Notes

  1. 1.

    Data used to generate the presented FCM can be provided upon request.

References

  1. Borrero-Domínguez, C., Escobar-Rodríguez, T.: Decision support systems in crowdfunding: a fuzzy cognitive maps (FCM) approach. Decis. Support Syst. 173, 114000 (2023). https://doi.org/10.1016/j.dss.2023.114000, https://www.sciencedirect.com/science/article/pii/S0167923623000751

  2. Dickerson, J., Kosko, B.: Virtual worlds as fuzzy cognitive maps. Presence 3, 173–189 (1994). https://doi.org/10.1162/pres.1994.3.2.173

    Article  Google Scholar 

  3. Kosko, B.: Fuzzy cognitive maps. Int. J. Man-Mach. Stud. 24, 65–75 (1986)

    Article  Google Scholar 

  4. Legarda, I., Iriarte, I., Hoveskog, M., Justel-Lozano, D.: A model for measuring and managing the impact of design on the organization: insights from four companies. Sustainability 13(22) (2021). https://doi.org/10.3390/su132212580, https://www.mdpi.com/2071-1050/13/22/12580

  5. Nápoles, G., Grau, I., Concepción, L., Koutsoviti Koumeri, L., Papa, J.P.: Modeling implicit bias with fuzzy cognitive maps. Neurocomputing 481, 33–45 (2022). https://doi.org/10.1016/j.neucom.2022.01.070, https://www.sciencedirect.com/science/article/pii/S092523122200090X

  6. Osoba, O., Kosko, B.: Beyond DAGs: modeling causal feedback with fuzzy cognitive maps (2019)

    Google Scholar 

  7. Scanagatta, M., Salmerón, A., Stella, F.: A survey on Bayesian network structure learning from data. Progr. Artif. Intell. 8(4), 425–439 (2019). https://doi.org/10.1007/s13748-019-00194-y

    Article  Google Scholar 

  8. Silva, A., Wood, K., Venkatesh, S.: Measuring design impact across disciplines, industries and scale. Ph.D. thesis, Singapore University of Technology and Design (2021). https://doi.org/10.13140/RG.2.2.19484.41609

  9. Zadeh, L.: Fuzzy sets. Inf. Control (1965)

    Google Scholar 

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Acknowledgements

We extend our gratitude to three exceptional coworkers whose invaluable contributions greatly enhanced our research project. Ilse Rosas’s creativity, Nora Tejeda’s expertise, and Marlen Osorios’s commitment significantly enriched our work.

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Correspondence to Hector-Heriberto Rodriguez-Martinez .

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Rodriguez-Martinez, HH., Mejia-de Dios, JA., García-Calvillo, ID. (2024). Representation of Expert Knowledge on Product Design Problems Using Fuzzy Cognitive Maps. In: Calvo, H., Martínez-Villaseñor, L., Ponce, H., Zatarain Cabada, R., Montes Rivera, M., Mezura-Montes, E. (eds) Advances in Computational Intelligence. MICAI 2023 International Workshops. MICAI 2023. Lecture Notes in Computer Science(), vol 14502. Springer, Cham. https://doi.org/10.1007/978-3-031-51940-6_29

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  • DOI: https://doi.org/10.1007/978-3-031-51940-6_29

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-51940-6

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