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Intuitionistic fuzzy decision support based on EDAS and grey relational degree for historic bridges reconstruction priority

  • Soft computing in decision making and in modeling in economics
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Abstract

Bridge management includes all actions in the life cycle of the bridge, to ensure its safety, stability, and functionality. Numerous problems have been identified that are primarily related to the organization of planning and the role of decision-making in the reconstruction of the historic pedestrian bridges. The planning process for the reconstruction of these bridges is crucial due to increased traffic load, poor condition, or damage to bridges. Some of these bridges are part of the cultural heritage, while some are unfairly neglected. The motivation for this research arose from the need to establish the priority for the reconstruction of historic pedestrian bridges to achieve their safety, stability, functionality, and cultural preservation. For this reason, a new decision support model based on intuitionistic fuzzy group decision-making to the multi-criteria analysis is created. The model combines multi-criteria method Evaluation Based on Distance from Average Solution and grey relational degree (GRD) with intuitionistic fuzzy theory. Three relevant decision groups of experts are formed, with the knowledge and expertise in the area of research problematic, establishing criteria for the evaluation. A new approach to the consistency of criteria weights is proposed. The intuitionistic fuzzy likelihood function is developed for the aggregation of bridge evaluations. Furthermore, GRD values are calculated to determine the reconstruction priority ranking of bridge for each decision group. The final ranking is defined by integrating Integer Linear Programming (ILP) and Ant Colony Optimization (ACO), determining spatial-functional, time, and financial constraints.

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Acknowledgements

This research is partially supported through project KK.01.1.1.02.0027, a project co-financed by the Croatian Government and the European Union through the European Regional Development Fund—the Competitiveness and Cohesion Operational Programme.

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The study received no external funding.

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Authors and Affiliations

  1. Faculty of Civil Engineering, Architecture and Geodesy, University of Split, Matice hrvatske 15, 21000, Split, Croatia

    Katarina Rogulj & Jelena Kilić Pamuković

  2. Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Sauletekio al. 11, LT–10223, Vilnius, Lithuania

    Jurgita Antucheviciene

  3. Institute of Sustainable Construction, Vilnius Gediminas Technical University, Sauletekio al. 11, 10223, Vilnius, Lithuania

    Edmundas Kazimieras Zavadskas

Authors
  1. Katarina Rogulj
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  2. Jelena Kilić Pamuković
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  3. Jurgita Antucheviciene
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  4. Edmundas Kazimieras Zavadskas
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Contributions

All authors contributed to the study conception and design. Material preparation and data collection were performed by KR and JKP. The analysis and algorithm were done by KR. The first draft of the manuscript was written by KR and JKP, then polished by JA and EKZ. All authors read and approved the final manuscript.

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Correspondence to Katarina Rogulj.

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Rogulj, K., Kilić Pamuković, J., Antucheviciene, J. et al. Intuitionistic fuzzy decision support based on EDAS and grey relational degree for historic bridges reconstruction priority. Soft Comput 26, 9419–9444 (2022). https://doi.org/10.1007/s00500-022-07259-6

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