Complex investment decisions using rough set and fuzzy c-means: an example of investment in green supply chains

DOI10.1016/j.ejor.2015.07.059zbMath1346.90411DBLPjournals/eor/BaiDS16OpenAlexW2192540070WikidataQ58002108 ScholiaQ58002108MaRDI QIDQ320711

Chunguang Bai, Joseph Sarkis, Dileep G. Dhavale

Publication date: 7 October 2016

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2015.07.059

zbMATH Keywords

rough set theoryfuzzy clustering meansgreen supplier developmentinvestment managementlarge data sets

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) Multivariate analysis and fuzziness (62H86)

Related Items (9)

Stochastic internal rate of return on investments in sustainable assets generating carbon credits ⋮ Review of fuzzy investment research considering modelling environment and element fusion ⋮ Recent fuzzy generalisations of rough sets theory: a systematic review and methodological critique of the literature ⋮ A negotiation-based algorithm to coordinate supplier development in decentralized supply chains ⋮ Integrating and extending data and decision tools for sustainable third-party reverse logistics provider selection ⋮ Soft clustering-based scenario bundling for a progressive hedging heuristic in stochastic service network design ⋮ Incremental updating of rough approximations in interval-valued information systems under attribute generalization ⋮ Incremental rough set approach for hierarchical multicriteria classification ⋮ Information structure selection in a green supply chain: impacts of wholesale price and greenness level

Cites Work

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• Color image segmentation using histogram thresholding -- fuzzy C-means hybrid approach
• The superiority of three-way decisions in probabilistic rough set models
• Attribute reduction in decision-theoretic rough set models
• Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation
• Quantitative models for sustainable supply chain management: developments and directions
• Evaluating green supplier development programs with a grey-analytical network process-based methodology
• Selecting green suppliers based on GSCM practices: using fuzzy TOPSIS applied to a Brazilian electronics company
• A new method for measuring uncertainty and fuzziness in rough set theory
• Rough sets
• Fuzzy sets

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