Green, resilient, and inclusive supplier selection using enhanced BWM-TOPSIS with scenario-varying Z-numbers and reversed PageRank
DOI10.1016/J.INS.2024.120728zbMATH Open1542.90141MaRDI QIDQ6554895
Sijun Bai, Xu Zhang, Mark Goh, Qun Wang
Publication date: 13 June 2024
Published in: Information Sciences (Search for Journal in Brave)
Management decision making, including multiple objectives (90B50) Transportation, logistics and supply chain management (90B06) Deterministic scheduling theory in operations research (90B35) Theory of fuzzy sets, etc. (03E72) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Fuzzy sets and logic (in connection with information, communication, or circuits theory) (94D05)
Cites Work
- A note on \(Z\)-numbers
- Integrating risk into estimations of project activities' time and cost: a stratified approach
- An approach for resilient-green supplier selection based on WASPAS, BWM, and TOPSIS under intuitionistic fuzzy sets
- Aggregation of infinite chains of intuitionistic fuzzy sets and their application to choices with temporal intuitionistic fuzzy information
- PageRank beyond the web
- Supplier selection to support environmental sustainability: the stratified BWM TOPSIS method
- Improvement of full consistency multiple objective optimization based on concept of stratification theory and pagerank and linguistic polytopic hesitant fuzzy sets
- Sustainable supplier selection using an intuitionistic and interval-valued fuzzy MCDM approach based on cumulative prospect theory
This page was built for publication: Green, resilient, and inclusive supplier selection using enhanced BWM-TOPSIS with scenario-varying Z-numbers and reversed PageRank
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6554895)
