A locally linear neuro-fuzzy model for supplier selection in cosmetics industry
DOI10.1016/j.apm.2011.12.006zbMath1252.90011OpenAlexW2015453663MaRDI QIDQ693628
Behnam Vahdani, M. Abdollahzade, S. Meysam Mousavi, Seyed Hossein Iranmanesh
Publication date: 7 December 2012
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.apm.2011.12.006
neural networkssupply chain managementartificial intelligence (AI)locally linear neuro-fuzzy modelsupplier selection problem
Learning and adaptive systems in artificial intelligence (68T05) Transportation, logistics and supply chain management (90B06) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Integration of particle swarm optimization-based fuzzy neural network and artificial neural network for supplier selection
- Vendor selection in outsourcing
- Multi-criteria decision making approaches for supplier evaluation and selection: a literature review
- Vendor selection and evaluation. An activity base costing approach
- Vendor evaluation with performance variability: A max-min approach
- Analytic network process in supplier selection: a case study in an electronic firm
- Selecting suppliers using a new fuzzy multiple criteria decision model: the fuzzy balancing and ranking method
- Global supplier selection: a fuzzy-AHP approach
- A model for performance monitoring of suppliers
- An application of data envelopment analytic hierarchy process for supplier selection: a case study of BEKO in Turkey
- Supplier selection using fuzzy association rules mining approach
- Vendor selection in a modified re-buy situation using a strategy-aligned fuzzy approach
This page was built for publication: A locally linear neuro-fuzzy model for supplier selection in cosmetics industry