Developing effective intervention strategies to improve public participation in household waste recycling program: A data-driven agent-based behavior analysis approach DOI
Yan Xu,

Xinzhu Wu,

Meihuan Tang

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106447 - 106447

Published: May 1, 2025

Language: Английский

A group decision-making method for public opinion response plans: Herd behavior and two-stage consensus-reaching DOI
Jing Ma, Dan Wang, Edward A. McBean

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: 268, P. 126367 - 126367

Published: Jan. 2, 2025

Language: Английский

Citations

1
A novel multi-criteria decision making method to evaluate green innovation ecosystem resilience DOI
Jiafu Su, Hongyu Liu,

Yijun Chen

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 139, P. 109528 - 109528

Published: Oct. 23, 2024

Citations

4
An Likelihood Interval-Valued Intuitionistic Fuzzy DNMEREC–MULTIMOORA Method and Its Application in Enterprise Green Technology Investment Decision DOI
Yuanfei Mei, Yuanfei Mei

International Journal of Fuzzy Systems, Journal Year: 2025, Volume and Issue: unknown

Published: March 10, 2025

Language: Английский

Citations

0
A Probabilistic Hesitant Fuzzy Multi-Criteria Decision-Making Method Based on CSOGRMILP and Borda-CoCoSo DOI
Jiafu Su, Baojian Xu, Hongyu Liu

et al.

International Journal of Fuzzy Systems, Journal Year: 2025, Volume and Issue: unknown

Published: April 7, 2025

Language: Английский

Citations

0
An improved CRITIC–MARCOS method based on a group consensus model for selecting low-carbon logistics service providers DOI
Jiafu Su, Baojian Xu,

Hongyu Liu

et al.

Kybernetes, Journal Year: 2025, Volume and Issue: unknown

Published: April 15, 2025

Purpose This paper proposes a multi-criteria group decision-making (MCGDM) method that considers the trust relationships among experts and level of consensus in to help enterprises select suitable low-carbon logistics service providers achieve their sustainable development goals. Design/methodology/approach In this paper, decision information is represented by interval-valued intuitionistic fuzzy numbers (IVIFNs) (TRs) between are expressed using two-tuple linguistic terms. Considering TRs experts, we developed propagation operator supplement incomplete experts. Moreover, constructed model adjust preferences decision-makers. Finally, improved CRiteria Importance Through Intercriteria Correlation (CRITIC) employed determine weights criteria Measurement Alternatives Ranking according Compromise Solution (MARCOS) used for ranking (LCLSPs). Findings Current research on selection often overlooks two critical aspects: degree within expert group. study addresses these gaps incorporating both factors into framework, thereby significantly improving accuracy outcomes. Furthermore, through comparative analysis, proposed demonstrates enhanced acceptability results, attributable integration consensus-building process. Originality/value The MCGDM constructs an consensus-reaching model, addressing current gap neglects impact providers.

Language: Английский

Citations

0
Alliance partner selection matching decision method based on psychological expectations under uncertain information DOI

Yuwen Zhang,

Peng Li, Zhiwei Xu

et al.

Kybernetes, Journal Year: 2025, Volume and Issue: unknown

Published: April 30, 2025

Purpose The selection of alliance partners occurs in a highly uncertain environment, characterized by the uncertainty related to parties themselves and ambiguities evaluation criteria weights. Moreover, it is crucial fully consider psychological expectations involved partner process. authors focus on problem selection, considering decision makers (DMs) under information. Design/methodology/approach Interval grey numbers (IGNs) provide an effective solution this problem. Firstly, incorporate into decision-making framework utilize IGNs represent expectation information universities enterprises. Then, employ cumulative prospect theory (CPT) construct value matrices for enterprises solve two-sided matching (TSM) model with objectives minimizing losses maximizing number pairs. Findings Through comparison, evident that proposed method effectively incorporates DMs, addresses challenges cooperative improves both satisfaction stability outcomes. By integrating involved, scheme achieves level 0.99, comparatively high robustness. Originality/value In paper, propose novel uncertainty, based expectations. are used aligning real-world ambiguity. CPT then applied calculate gains loss aversion determine weights values. Furthermore, TSM enhance stability. Additionally, validated through real-case scenario compared another method.

Language: Английский

Citations

0
Decision-analytics-based green performance evaluation in the railway transportation industry – An integrated hesitant fuzzy approach DOI Creative Commons
Ashraf Norouzi, Dragan Pamučar, Vladimir Šimić

et al.

Transportation Research Interdisciplinary Perspectives, Journal Year: 2025, Volume and Issue: 31, P. 101441 - 101441

Published: May 1, 2025

Language: Английский

Citations

0
Developing effective intervention strategies to improve public participation in household waste recycling program: A data-driven agent-based behavior analysis approach DOI
Yan Xu,

Xinzhu Wu,

Meihuan Tang

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106447 - 106447

Published: May 1, 2025

Language: Английский

Citations

0