A Hybrid Intuitionistic Fuzzy Group Decision Framework and Its Application in Urban Rail Transit System Selection

The selection of an urban rail transit system from the perspective of green and low carbon can not only promote the construction of an urban rail transit system but also have a positive impact on urban green development. Considering the uncertainty caused by different conflict criteria and the fuzziness of decision-making experts’ cognition in the selection process of a rail transit system, this paper proposes a hybrid intuitionistic fuzzy MCGDM framework to determine the priority of a rail transit system. To begin with, the weights of experts are determined based on the improved similarity method. Secondly, the subjective weight and objective weight of the criterion are calculated, respectively, according to the DEMATEL and CRITIC methods, and the comprehensive weight is calculated by the linear integration method. Thirdly, considering the regret degree and risk preference of experts, the COPRAS method based on regret theory is propounded to determine the prioritization of urban rail transit system ranking. Finally, urban rail transit system selection of City N is selected for the case study to illustrate the feasibility and effectiveness of the developed method. The results show that a metro system (P1) is the most suitable urban rail transit system for the construction of city N, followed by a municipal railway system (P7). Sensitivity analysis is conducted to illustrate the stability and robustness of the designed decision framework. Comparative analysis is also utilized to validate the efficacy, feasibility and practicability of the propounded methodology.

[1]  Hu-Chen Liu,et al.  New method for emergency decision making with an integrated regret theory-EDAS method in 2-tuple spherical linguistic environment , 2022, Applied Intelligence.

[2]  Rosa M. Rodríguez,et al.  A comprehensive minimum cost consensus model for large scale group decision making for circular economy measurement , 2022, Technological Forecasting and Social Change.

[3]  Arunodaya Raj Mishra,et al.  A new intuitionistic fuzzy combinative distance-based assessment framework to assess low-carbon sustainable suppliers in the maritime sector , 2021 .

[4]  Yejun Xu,et al.  Social network clustering and consensus-based distrust behaviors management for large-scale group decision-making with incomplete hesitant fuzzy preference relations , 2021, Appl. Soft Comput..

[5]  S. Wan,et al.  Personalized individual semantics based consensus reaching process for large-scale group decision making with probabilistic linguistic preference relations and application to COVID-19 surveillance , 2021, Expert Syst. Appl..

[6]  Shuhua Hou,et al.  Electric vehicle industry sustainable development with a stakeholder engagement system , 2021, Technology in Society.

[7]  Peide Liu,et al.  An integrated group decision‐making framework for selecting cloud service providers based on regret theory and EVAMIX with hybrid information , 2021, International Journal of Intelligent Systems.

[8]  Ming-Lang Tseng,et al.  Multicriteria assessment of renewable energy sources under uncertainty: Barriers to adoption , 2021 .

[9]  J. Zhan,et al.  TWD-R: A three-way decision approach based on regret theory in multi-scale decision information systems , 2021, Inf. Sci..

[10]  Lincoln C. Wood,et al.  Barriers to sustainable food consumption and production in China: A fuzzy DEMATEL analysis from a circular economy perspective , 2021 .

[11]  Gülfem Tuzkaya,et al.  Greenness assessment of supply chains via intuitionistic fuzzy based approaches , 2021, Adv. Eng. Informatics.

[12]  Serhat Yüksel,et al.  Assessment of safety management system on energy investment risk using house of quality based on hybrid stochastic interval-valued intuitionistic fuzzy decision-making approach , 2021 .

[13]  M. Paydar,et al.  Recovery solutions for ecotourism centers during the Covid-19 pandemic: Utilizing Fuzzy DEMATEL and Fuzzy VIKOR methods , 2021, Expert Systems with Applications.

[14]  N. Nawari,et al.  The DEMATEL approach for integrating resilience indicators into building sustainability assessment frameworks , 2021, Building and Environment.

[15]  Zeshui Xu,et al.  The DEMATEL–COPRAS hybrid method under probabilistic linguistic environment and its application in Third Party Logistics provider selection , 2021, Fuzzy Optimization and Decision Making.

[16]  Zheng Pei,et al.  A novel multiple attribute decision-making approach for evaluation of emergency management schemes under picture fuzzy environment , 2021, International Journal of Machine Learning and Cybernetics.

[17]  D. Pamučar,et al.  MARCOS technique under intuitionistic fuzzy environment for determining the COVID-19 pandemic performance of insurance companies in terms of healthcare services , 2021, Applied Soft Computing.

[18]  Francisco Herrera,et al.  A consensus process based on regret theory with probabilistic linguistic term sets and its application in venture capital , 2021, Inf. Sci..

[19]  L. Ramya,et al.  Use of DEMATEL and COPRAS method to select best alternative fuel for control of impact of greenhouse gas emissions , 2020 .

[20]  M. Nieuwenhuijsen,et al.  Small cities, big needs: Urban transport planning in cities of developing countries , 2020 .

[21]  Yuan Rong,et al.  Complex q‐rung orthopair fuzzy 2‐tuple linguistic Maclaurin symmetric mean operators and its application to emergency program selection , 2020, Int. J. Intell. Syst..

[22]  Peide Liu,et al.  An Improved MABAC Group Decision-Making Method Using Regret Theory and Likelihood in Probability Multi-Valued Neutrosophic Sets , 2020, Int. J. Inf. Technol. Decis. Mak..

[23]  Kumru Didem Atalay,et al.  Development of an intuitionistic fuzzy ranking model for nontraditional machining processes , 2019, Soft Computing.

[24]  Wei Wang,et al.  A novel hybrid MCDM model for machine tool selection using fuzzy DEMATEL, entropy weighting and later defuzzification VIKOR , 2020, Appl. Soft Comput..

[25]  Shyi-Ming Chen,et al.  Group decision making with heterogeneous intuitionistic fuzzy preference relations , 2020, Inf. Sci..

[26]  Arunodaya Raj Mishra,et al.  Novel Multi-Criteria Intuitionistic Fuzzy SWARA–COPRAS Approach for Sustainability Evaluation of the Bioenergy Production Process , 2020, Sustainability.

[27]  Huchang Liao,et al.  Distance-based consensus reaching process for group decision making with intuitionistic multiplicative preference relations , 2020, Appl. Soft Comput..

[28]  Shyi-Ming Chen,et al.  Multiattribute decision making based on novel score function of intuitionistic fuzzy values and modified VIKOR method , 2019, Inf. Sci..

[29]  İbrahim Zeki Akyurt,et al.  Hydrogen mobility roll-up site selection using intuitionistic fuzzy sets based WASPAS, COPRAS and EDAS , 2019, International Journal of Hydrogen Energy.

[30]  Mark Goh,et al.  Logistics provider selection for omni-channel environment with fuzzy axiomatic design and extended regret theory , 2018, Appl. Soft Comput..

[31]  Arunodaya Raj Mishra,et al.  INFORMATION MEASURES BASED TOPSIS METHOD FOR MULTICRITERIA DECISION MAKING PROBLEM IN INTUITIONISTIC FUZZY ENVIRONMENT , 2017 .

[32]  Jianjun Zhu,et al.  Regret theory-based group decision-making with multidimensional preference and incomplete weight information , 2016, Inf. Fusion.

[33]  Agatha Parks-Savage,et al.  Enhancing Interprofessional Relationships Between Nurses And Resident–Physicians In Graduate Medical Education , 2016 .

[34]  Xiaoyan Huang,et al.  How does the propensity of living near rail transit moderate the influence of rail transit on transit trip frequency in Xi'an? , 2016 .

[35]  Zeshui Xu,et al.  Intuitionistic Fuzzy Aggregation Operators , 2007, IEEE Transactions on Fuzzy Systems.

[36]  R. Sugden,et al.  Regret Theory: An alternative theory of rational choice under uncertainty Review of Economic Studies , 1982 .

[37]  David E. Bell,et al.  Regret in Decision Making under Uncertainty , 1982, Oper. Res..

[38]  Rodger Edwards,et al.  Ranking effective risks on human resources threats in natural gas supply projects using ANP-COPRAS method: Case study of Shiraz , 2021, Reliab. Eng. Syst. Saf..

[39]  Ying-Ming Wang,et al.  A probabilistic interval-valued hesitant fuzzy gained and lost dominance score method based on regret theory , 2021, Comput. Ind. Eng..

[40]  Abbas Mardani,et al.  A new Pythagorean fuzzy-based decision-making method through entropy measure for fuel cell and hydrogen components supplier selection , 2021 .

[41]  Yingming Wang,et al.  Regret Theory-Based Case-Retrieval Method with Multiple Heterogeneous Attributes and Incomplete Weight Information , 2021, Int. J. Comput. Intell. Syst..