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Transportation Mode Selection for Organ Transplant Networks by a New Multi-Criteria Group Decision Model Under Interval-Valued Intuitionistic Fuzzy Uncertainty
Volume 34, Issue 2 (2023), pp. 337–355
Pub. online: 27 March 2023      Type: Research Article      Open accessOpen Access
Received
1 October 2022
Accepted
1 March 2023
Published
27 March 2023

Abstract

This study introduces a new multi-criteria group decision-making model in organ transplant transportation networks under uncertain situations. A new combined weighting approach is presented to obtain expert weights with various kinds of opinions by integrating similarity measure and subjective judgments of experts. Also, the CRITIC approach is given to obtain transportation criteria weights. Finally, a novel integrated ranking approach is proposed to calculate the rank of each alternative based on ideal point solution and relative preference relation (RPR) methods. This study regards an interval-valued intuitionistic fuzzy set to cope with the vagueness of uncertain conditions in a real case study.

References

 
Alagoz, O., Schaefer, A.J., Roberts, M.S. (2009). Optimizing organ allocation and acceptance. In: Handbook of Optimization in Medicine. Springer, Boston, MA, pp. 1–24.
 
Atanassov, K.T. (1999). Interval valued intuitionistic fuzzy sets. In: Intuitionistic Fuzzy Sets. Physica, Heidelberg, pp. 139–177.
 
Atanassov, K., Gargov, G. (1989). Interval-valued intuitionistic fuzzy sets. Fuzzy Sets and Systems, 31(3), 343–349.
 
Chang, C.M., Ortega, O., Weidner, J. (2021). Integrating the risk of climate change into transportation asset management to support bridge network-level decision-making. Journal of Infrastructure Systems, 27(1), 04020044.
 
Davoudabadi, R., Mousavi, S.M., Mohagheghi, V., Vahdani, B. (2019). Resilient supplier selection through introducing a new interval-valued intuitionistic fuzzy evaluation and decision-making framework. Arabian Journal for Science and Engineering, 44, 7351–7360.
 
Davoudabadi, R., Mousavi, S.M., Mohagheghi, V. (2020). A new last aggregation method of multi-attributes group decision making based on concepts of TODIM, WASPAS and TOPSIS under interval-valued intuitionistic fuzzy uncertainty. Knowledge and Information Systems, 62(4), 1371–1391.
 
Davoudabadi, R., Mousavi, S.M., Mohagheghi, V. (2021). A new decision model based on DEA and simulation to evaluate renewable energy projects under interval-valued intuitionistic fuzzy uncertainty. Renewable Energy, 164, 1588–1601.
 
Dorfeshan, Y., Mousavi, S.M. (2019). A new interval type-2 fuzzy decision method with an extended relative preference relation and entropy to project critical path selection. International Journal of Fuzzy System Applications (IJFSA), 8(1), 19–47.
 
Farkas, A. (2009). Route site selection of urban transportation facilities: an integrated GIS.MCDM approach. In: 7th International Conference on Management, Enterprise and Benchmarking, pp. 5–6.
 
Fierek, S., Zak, J. (2012). Planning of an integrated urban transportation system based on macro-simulation and MCDM/A methods. Procedia-Social and Behavioral Sciences, 54, 567–579.
 
Galińska, B. (2019). MCDM as the tool of intelligent decision making in transport. Case study analysis. In: Scientific And Technical Conference Transport Systems Theory And Practice. Springer, Cham, pp. 67–79.
 
Görçün, Ö.F. (2021). Evaluation of the selection of proper metro and tram vehicle for urban transportation by using a novel integrated MCDM approach. Science Progress, 104(1), 0036850420950120.
 
Haddadsisakht, A., Ryan, S.M. (2018). Closed-loop supply chain network design with multiple transportation modes under stochastic demand and uncertain carbon tax. International Journal of Production Economics, 195, 118–131.
 
Hashemi, H., Mousavi, S.M., Zavadskas, E.K., Chalekaee, A., Turskis, Z. (2018). A new group decision model based on grey-intuitionistic fuzzy-ELECTRE and VIKOR for contractor assessment problem. Sustainability, 10, 1635–1653.
 
Jia, F., Liu, Y., Wang, X. (2019). An extended MABAC method for multi-criteria group decision making based on intuitionistic fuzzy rough numbers. Expert Systems with Applications, 127, 241–255.
 
Kaya, S.K., Pamucar, D., Aycin, E. (2022). A new hybrid fuzzy multi-criteria decision methodology for prioritizing the antivirus mask over COVID-19 pandemic. Informatica, 33(3), 545–572.
 
Kengpol, A., Tuammee, S., Tuominen, M. (2014). The development of a framework for route selection in multimodal transportation. The International Journal of Logistics Management, 25(3), 581–610.
 
Krishankumar, R., Mishra, A.R., Cavallaro, F., Zavadskas, E.K., Antuchevičienė, J., Ravichandran, K.S. (2022). A new approach to the viable ranking of zero-carbon construction materials with generalized fuzzy information. Sustainability, 14(13), 7691.
 
Kumru, M., Kumru, P.Y. (2014). Analytic hierarchy process application in selecting the mode of transport for a logistics company. Journal of Advanced Transportation, 48(8), 974–999.
 
Kundu, P., Kar, S., Maiti, M. (2014). A fuzzy MCDM method and an application to solid transportation problem with mode preference. Soft Computing, 18(9), 1853–1864.
 
Liu, S.L., Qiu, W.H. (1998). Studies on the basic theories for MADM. Systems Engineering-Theory and Practice, 18(1), 38–43.
 
Liu, Y., Jiang, W. (2020). A new distance measure of interval-valued intuitionistic fuzzy sets and its application in decision making. Soft Computing, 24(9), 6987–7003.
 
Mohammadian, A., Heidary Dahooie, J., Qorbani, A.R., Zavadskas, E.K., Turskis, Z. (2021). A new multi-attribute decision-making framework for policy-makers by using interval-valued triangular fuzzy numbers. Informatica, 32(3), 583–618.
 
Nassereddine, M., Eskandari, H. (2017). An integrated MCDM approach to evaluate public transportation systems in Tehran. Transportation Research Part A: Policy and Practice, 106, 427–439.
 
Peng, X., Garg, H. (2022). Intuitionistic fuzzy soft decision making method based on CoCoSo and CRITIC for CCN cache placement strategy selection. Artificial Intelligence Review, 55, 1567–1604.
 
Qi, Q.S. (2021). GRA and CRITIC method for intuitionistic fuzzy multiattribute group decision making and application to development potentiality evaluation of cultural and creative garden. Mathematical Problems in Engineering, 2021, 9957505. https://doi.org/10.1155/2021/9957505.
 
Qu, L., Chen, Y. (2008). A hybrid MCDM method for route selection of multimodal transportation network. In: International Symposium on Neural Networks. Springer, Berlin, Heidelberg, pp. 374–383.
 
Rouyendegh, B.D., Yildizbasi, A., Üstünyer, P. (2020). Intuitionistic fuzzy TOPSIS method for green supplier selection problem. Soft Computing, 24(3), 2215–2228.
 
Salimian, S., Mousavi, S.M. (2022a). A multi-criteria decision-making model with interval-valued intuitionistic fuzzy sets for evaluating digital technology strategies in COVID-19 pandemic under uncertainty. Arabian Journal for Science and Engineering. https://doi.org/10.1007/s13369-022-07168-8.
 
Salimian, S., Mousavi, S.M. (2022b). A new scenario-based robust optimization approach for organ transplantation network design with queue condition and blood compatibility under climate change. Journal of Computational Science, 62, 101742.
 
Salimian, S., Mousavi, S.M. (2022c). A robust possibilistic optimization model for organ transplantation network design considering climate change and organ quality. Journal of Ambient Intelligence and Humanized Computing, 1(24). https://doi.org/10.1007/s12652-022-03863-4. Article in Press.
 
Salimian, S., Mousavi, S.M., Antucheviciene, J. (2022). An interval-valued intuitionistic fuzzy model based on extended VIKOR and MARCOS for sustainable supplier selection in organ transplantation networks for healthcare devices. Sustainability, 14(7), 3795.
 
Simic, V., Gokasar, I., Deveci, M., Karakurt, A. (2021). An integrated CRITIC and MABAC based Type-2 neutrosophic model for public transportation pricing system selection. Socio-Economic Planning Sciences, 80, 101157.
 
Tuzkaya, U.R. (2009). Evaluating the environmental effects of transportation modes using an integrated methodology and an application. International Journal of Environmental Science & Technology, 6(2), 277–290.
 
Wang, T., Qu, Z., Yang, Z., Nichol, T., Dimitriu, D., Clarke, G., Bowden, D. (2019). How can the UK road system be adapted to the impacts posed by climate change? By creating a climate adaptation framework. Transportation Research Part D: Transport and Environment, 77, 403–424.
 
Yue, Z. (2011). An extended TOPSIS for determining weights of decision makers with interval numbers. Knowledge-Based Systems, 24(1), 146–153.
 
Zahiri, B., Tavakkoli-Moghaddam, R., Pishvaee, M.S. (2014). A robust possibilistic programming approach to multi-period location-allocation of organ transplant centers under uncertainty. Computers & Industrial Engineering, 74, 139–148.
 
Żak, J., Węgliński, S. (2014). The selection of the logistics center location based on MCDM/A methodology. Transportation Research Procedia, 3, 555–564.
 
Zavadskas, E.K., Stević, Ž., Turskis, Z., Tomašević, M. (2019). A novel extended EDAS in Minkowski Space (EDAS-M) method for evaluating autonomous vehicles. Studies in Informatics and Control, 28(3), 255–264.
 
Zavadskas, E.K., Antucheviciene, J., Turskis, Z. (2021). Symmetric and asymmetric data in solution models. Symmetry, 13(6), 1045.
 
Zhang, X., Xu, Z. (2015). Soft computing based on maximizing consensus and fuzzy TOPSIS approach to interval-valued intuitionistic fuzzy group decision making. Applied Soft Computing, 26, 42–56.
 
Zhang, X., Lu, J., Peng, Y. (2021). Hybrid MCDM model for location of logistics hub: a case in China under the belt and road initiative. IEEE Access, 9, 41227–41245.
 
Zheng, J.H. (2015). A fuzzy TOPSIS approach based to evaluate the transportation mode selection: an experience in a suburban university. Advances in Transportation Studies. http://www.atsinternationaljournal.com/index.php/2015-issues/special-issue-2015-vol1/770-a-fuzzy-topsis-approach-based-to-evaluate-the-transportation-mode-selection-an-experience-in-a-suburban-university.

Biographies

Salimian Sina

S. Salimain obtained PhD from the Department of Industrial Engineering, Faculty of Engineering, Shahed University in Tehran, Iran, in 2022. His main research interests include healthcare systems, supply chain management, fuzzy sets theory, multi-criteria decision-making under uncertainty, and applied operations research. He has published several papers in reputable journals and international conference proceedings.

Mousavi Seyed Meysam
https://orcid.org/0000-0003-0253-6944
sm.mousavi@shahed.ac.ir

S.M. Mousavi is an associate professor at the Department of Industrial Engineering, Faculty of Engineering, Shahed University in Tehran, Iran. His main research interests include: cross-docking systems planning, quantitative methods in project management, logistics planning and scheduling, fuzzy sets theory, multiple criteria decision making under uncertainty, and applied soft computing. He has published many papers and book chapters in reputable journals and international conference proceedings.

Turskis Zenonas
https://orcid.org/0000-0002-5835-9388

Z. Turskis is a professor, Dr. of technical sciences, chief research fellow at the Laboratory of Operations Research, Institute of Sustainable Construction, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Lithuania. Research interests: operation research; optimization and decision analysis; multicriteria decision making (MCDM); multiple-criteria optimization; multiattribute decision making (MADM); multiobjective optimization (MODM); approximations; mathematics for decision making; decision support systems; evaluation sustainable development; civil engineering; management; knowledge management; game theory and economical computing; finance engineering; algorithms and software engineering; energy; fuzzy set theory; negotiations; the consensus in groups. He has published many papers in reputable journals and international conference proceedings.


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Open access article under the CC BY license.

Keywords
organ transplant transportation planning transportation mode selection problem multi-criteria group decision-making CRITIC method relative preference relation (RPR) interval-valued intuitionistic fuzzy sets (IVIFSs)

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