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Multi-criteria decision making based on intuitionistic cubic fuzzy numbers

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Abstract

This paper develops fuzzy multi-criteria decision making (MCDM) approach to evaluate performance of airports according to the passengers’ perspective. Assessments for qualitative measures and quantitative measures are represented by intuitionistic cubic fuzzy numbers (ICFNs), and crisp numbers represents criteria weights, which are obtained via surveys. To construct a strategy for solving MCDM problems, we have developed extended forms of VIKOR method and TOPSIS method for ICFNs and constructed ICF-VIKOR and ICF-TOPSIS algorithm under ICF information in group decision environment. We have applied these methods for an experimental analysis of 7 significant international airports in the Asia-Pacific region to evaluate their performance with conflicting criteria under ICF environment. To show the supremacy of the proposed techniques, we have presented comparative analysis with the existing techniques.

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Acknowledgements

This research work was supported by Higher Education Commission (HEC) under National Research Programme for University (NRPU), Project title, Fuzzy Mathematical Modelling for Decision Support Systems and Smart Grid Systems (No. 10701/KPK/NRPU/R&D/HEC/2017), Therefore the author grateful to NRPU, HEC.

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  1. Department of Mathematics, Abdul Wali Khan University Mardan, Mardan, Pakistan

    Muneeza, Saleem Abdullah, Muhammad Qiyas & Muhammad Ali Khan

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  1. Muneeza
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  4. Muhammad Ali Khan
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Correspondence to Muneeza.

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Muneeza, Abdullah, S., Qiyas, M. et al. Multi-criteria decision making based on intuitionistic cubic fuzzy numbers. Granul. Comput. 7, 217–227 (2022). https://doi.org/10.1007/s41066-021-00261-7

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