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• W4281645892 abstract "Group decision-making is an everyday evaluation activity in which a panel of decision-makers offers their preferences for obtaining the final results to solve decision problems. In the evaluation process, negotiation is essential for consensus reaching, usually realized by constructing an optimization-based consensus model in terms of a single optimization criterion, such as the amount of adjustment, the number of experts, and the cost of adjustment. Therefore, developing a comprehensive and practical consensus optimization model is crucial to achieving consensus efficiency and exploring a more desirable optimal result. This study concentrates on designing a two-stage consensus optimization model combining minimum adjustment and minimum cost under Pythagorean fuzzy linguistic preference information for realizing the consensus of the group decision-making problems in a complex and uncertain environment. In addition, the granulation of linguistic terms is carried out to reflect the uncertainty of decision-making information and promote consensus reaching within the optimal adaptability ranges of experts’ opinions. The designed model satisfies the need for minimum costs for the mediator and considers experts’ adjustment amount to shorten the time consumption, retain initial preference, and maximize the balance between the minimum amount of adjustment and the minimum cost. Finally, a case of evaluating container ships is presented to demonstrate the designed consensus model’s practicality and effectiveness for risk evaluation by conducting comparative analyses. • Develop a two-stage consensus model under the asymmetric unit cost. • Consider the adjustment amount and cost needs of the mediator for reaching consensus. • Develop a granulation method for dealing with the Pythagorean fuzzy linguistic terms. • Experiment with selecting container ships to illustrate the model’s practicality." @default.
• W4281645892 created "2022-06-13" @default.
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• W4281645892 date "2022-08-01" @default.
• W4281645892 modified "2023-10-16" @default.
• W4281645892 title "A two-stage granular consensus model for minimum adjustment and minimum cost under Pythagorean fuzzy linguistic information" @default.
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• W4281645892 doi "https://doi.org/10.1016/j.asoc.2022.109110" @default.
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