Supplier Selection Using Fuzzy Risk Analysis

DOI10.1007/978-81-322-2452-5_22zbMath1323.90029OpenAlexW2473398076MaRDI QIDQ3449430

Shyamal Kumar Mondal, Kartik Patra

Publication date: 4 November 2015

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-81-322-2452-5_22

zbMATH Keywords

possibilityrisknecessitysupplier selectionMOGA

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)

Cites Work

• A deterministic, multi-item inventory model with supplier selection and imperfect quality
• A production-recycling-inventory system with imprecise holding costs
• Ranking fuzzy numbers in the setting of possibility theory
• Default reasoning and possibility theory
• Fuzzy sets and systems. Theory and applications
• Fuzzy sets as a basis for a theory of possibility
• The concept of a linguistic variable and its application to approximate reasoning. I
• Chance constrained programming with fuzzy parameters
• Fuzzy decision modeling for supply chain management
• An integrated approach for supplier selection in multi-item/multi-supplier environment
• Supplier selection and order allocation problem using a two-phase fuzzy multi-objective linear programming
• A note on chance constrained programming with fuzzy coefficients
• L-fuzzy sets
• The logic of inexact concepts
• RISK ANALYSIS IN DIABETES PREDICTION BASED ON A NEW APPROACH OF RANKING OF GENERALIZED TRAPEZOIDAL FUZZY NUMBERS
• Fuzzy sets

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