An approach for resilient-green supplier selection based on WASPAS, BWM, and TOPSIS under intuitionistic fuzzy sets

DOI10.1155/2020/1761893zbMath1459.90041OpenAlexW3043881060MaRDI QIDQ2193309

Sen Liu, Shuqi Zhong, Yan-Feng Li, Lei Xiong, Xiao Zhang

Publication date: 25 August 2020

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2020/1761893

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Transportation, logistics and supply chain management (90B06) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)

Related Items (1)

Comparison of macroeconomic performance of MENA countries with TOPSIS method

Uses Software

• MADM

Cites Work

• Intuitionistic fuzzy sets
• Multiple attribute decision making. Methods and applications. A state-of- the-art survey
• A scaling method for priorities in hierarchical structures
• Distances between intuitionistic fuzzy sets
• An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment
• Applying environmental criteria to supplier assessment: A study in the application of the analytical hierarchy process
• A novel method to solve supplier selection problem: hybrid algorithm of genetic algorithm and ant colony optimization
• A decision support system for multiple criteria alternative ranking using TOPSIS and VIKOR in fuzzy and nonfuzzy environments
• Control and system-theoretic identification of the supply chain dynamics domain for planning, analysis and adaptation of performance under uncertainty
• Selecting green suppliers based on GSCM practices: using fuzzy TOPSIS applied to a Brazilian electronics company
• A fuzzy goal programming approach for green supply chain optimisation under activity-based costing and performance evaluation with a value-chain structure
• Fuzzy sets

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