ArticleApplied soft computing2021
Interactive multi-criteria group decision-making with probabilistic linguistic information for emergency assistance of COVID-19.
Article in Applied soft computing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- A method for multi-criteria decision making with probabilistic linguistic term based on cloud TOPSIS.Scientific reports · 2026Article
- AI-powered decision making for road safety optimization under probabilistic linguistic Sugeno-Weber aggregation information.Heliyon · 2024Article
- A data-driven group emergency decision-making method based on interval-valued intuitionistic hesitant fuzzy sets and its application in COVID-19 pandemic.Applied soft computing · 2023Article
- Extended Multicriteria Group Decision Making with a Novel Aggregation Operator for Emergency Material Supplier Selection.Entropy (Basel, Switzerland) · 2023Article
- Benchmarking sustainable E-commerce enterprises based on evolving customer expectations amidst COVID-19 pandemic.Business strategy and the environment · 2022Article
- A cumulative prospect theory-based method for group medical emergency decision-making with interval uncertainty.BMC medical informatics and decision making · 2022Article
- Broken-Edge Decision-Making Strategy for COVID-19 over Air Railway Composite Network.Computational intelligence and neuroscience · 2022Article
- Research on emergency management of urban waterlogging based on similarity fusion of multi-source heterogeneous data.PloS one · 2022Article
- The research for PLTS normalization method based on minimum entropy change and its application in MAGDM problem.PloS one · 2022Article
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3 authors.
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Abstract
This paper develops a new method for interactive multi-criteria group decision-making (MCGDM) with probabilistic linguistic information and applies to the emergency assistance area selection of COVID-19 for Wuhan. First, a new possibility degree for PLTSs is defined and a new possibility degree algorithm is devised to rank a series of probabilistic linguistic term sets (PLTSs). Second, some new operational laws of PLTSs based on the Archimedean copulas and co-copulas are defined. A generalized probabilistic linguistic Choquet (GPLC) operator and a generalized probabilistic linguistic hybrid Choquet (GPLHC) operator are developed and their desirable properties are discussed in details. Third, a tri-objective nonlinear programming model is constructed to determine the weights of DMs. This model is transformed into a linear programming model to solve. The fuzzy measures of criterion subsets are derived objectively by establishing a goal programming model. Fourth, using the probabilistic linguistic Gumbel weighted average (PLGWA) operator, the collective normalized decision matrix is obtained by aggregating all individual normalized decision matrices. The overall evaluation values of alternatives are derived by the probabilistic linguistic Gumbel hybrid Choquet (PLGHC) operator. The ranking order of alternatives is generated. Finally, an emergency assistance example is illustrated to validate the proposed method of this paper.
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