Spherical fuzzy TODIM method for MAGDM integrating cumulative prospect theory and CRITIC method and its application to commercial insurance selection

Zhang, Huiyuan; Wang, Hongjun

doi:10.1007/s10462-023-10409-3

Cited by 20 publications

(4 citation statements)

References 58 publications

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“…To this end, Tian et al [35] first introduced the interactive multi-criteria decision-making (TODIM) based on the cumulative prospect theory (CPT-TODIM) approach by combining the advantages of CPT and TODIM. Subsequently, the researchers extended the CPT-TODIM approach to include spherical fuzzy sets [36], intuitionistic fuzzy sets [37], two-tuple linguistic Pythagorean fuzzy sets [38], picture fuzzy set [39], and others. To date, the application of the CPT-TODIM method in a probabilistic linguistic environment is still to be explored.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Online review–driven Product Recommendation Ranking Considering Interactions Among Features and Consumers’ Psychology

Liu,

Li,

Chin

2024

Preprint

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In the digital economy, online reviews serve as valuable and real-time feedback for consumers, making them a crucial source of information for product selection. We propose a product recommendation ranking method based on sentiment analysis of online reviews to address information overload and support informed purchase decisions. The proposed model considers the interdependencies among product features and fully simulates the psychological state of consumers before and after purchasing products. First, online reviews of products are mined and preprocessed. Natural language processing techniques are employed to extract product features and perform aspect-based sentiment analysis. The results are transformed into an evaluation matrix of the probabilistic linguistic term sets (PLTSs). Then, we propose a 2-additive fuzzy measures recognition model based on multi-dimensional feature attention information to effectively identify redundant, independent, and complementary interactions among product features. Subsequently, the fuzzy weight and the proposed possibility comprehensive discrepancy measures are applied to the interactive multi-criteria decision-making based on CPT-TODIM (Cumulative Prospect Theory TODIM) method to rank the recommended priorities of alternative products. The feasibility of the proposed method is validated through a case study of smart sweeping robot products from Jingdong Mall, followed by the investigation of the impact of various psychological behaviours that influence purchase decisions on the recommendation ranking based on stochastic multi-criteria acceptability analysis (SMAA). Finally, a comparative analysis is conducted to demonstrate the advantages and effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: Online review–driven Product Recommendation Ranking Considering Interactions Among Features and Consumers’ Psychology

Liu,

Li,

Chin

2024

Preprint

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“…The IFSs [ [70] , [71] , [72] , [73] ] are an efficient tool for conducting uncertain information during the performance evaluation of CSR from the perspective of environmental accounting. Until now, no or few techniques were studied on CRITIC [ [74] , [75] , [76] , [77] , [78] , [79] , [80] ]and CoCoSo in light with CSM under IFSs. Therefore, in this study, the IFN-CSM-CoCoSo is conducted for MAGDM with IFSs.…”

Section: Introductionmentioning

confidence: 99%

A novel IFN-CSM-CoCoSo approach for multiple-attribute group decision-making with intuitionistic fuzzy sets: An application in assessing corporate social responsibility performance

Nie

2024

Heliyon

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“…Currently, the relative theories and methods on MAGDM (Y. Ning et al, 2023;Zhang et al, 2023) are widely applied in fields such as investment risk and economic management. Moreover, MAGDM technology can utilize a systematic and logical approach to collect and process multidimensional fuzzy evaluation information to determine the best alternative.…”

Section: Introductionmentioning

confidence: 99%

An Extended EDAS Approach Based on Cumulative Prospect Theory for Multiple Attributes Group Decision Making with Interval-Valued Intuitionistic Fuzzy Information

Wang,

Cai,

Wei

et al. 2024

Informatica

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The interval-valued intuitionistic fuzzy sets (IVIFSs), based on the intuitionistic fuzzy sets (IFSs), combine the classical decision method and its research and application is attracting attention. After a comparative analysis, it becomes clear that multiple classical methods with IVIFSs’ information have been applied to many practical issues. In this paper, we extended the classical EDAS method based on the Cumulative Prospect Theory (CPT) considering the decision experts (DEs)’ psychological factors under IVIFSs. Taking the fuzzy and uncertain character of the IVIFSs and the psychological preference into consideration, an original EDAS method, based on the CPT under IVIFSs (IVIF-CPT-EDAS) method, is created for multiple-attribute group decision making (MAGDM) issues. Meanwhile, the information entropy method is used to evaluate the attribute weight. Finally, a numerical example for Green Technology Venture Capital (GTVC) project selection is given, some comparisons are used to illustrate the advantages of the IVIF-CPT-EDAS method and a sensitivity analysis is applied to prove the effectiveness and stability of this new method.

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Spherical fuzzy TODIM method for MAGDM integrating cumulative prospect theory and CRITIC method and its application to commercial insurance selection

Cited by 20 publications

References 58 publications

RETRACTED: Online review–driven Product Recommendation Ranking Considering Interactions Among Features and Consumers’ Psychology

RETRACTED: Online review–driven Product Recommendation Ranking Considering Interactions Among Features and Consumers’ Psychology

A novel IFN-CSM-CoCoSo approach for multiple-attribute group decision-making with intuitionistic fuzzy sets: An application in assessing corporate social responsibility performance

An Extended EDAS Approach Based on Cumulative Prospect Theory for Multiple Attributes Group Decision Making with Interval-Valued Intuitionistic Fuzzy Information

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