Cost–volume–profit analysis under uncertainty: a model with fuzzy estimators based on confidence intervals

DOI10.1080/00207540802112660zbMath1198.90228OpenAlexW2108573135MaRDI QIDQ3055269

Konstantinos A. Chrysafis, Basil K. Papadopoulos

Publication date: 7 November 2010

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540802112660

zbMATH Keywords

fuzzy logiccost analysisfinancial managementstatistical methodsfuzzy methodscost estimating

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Management decision making, including multiple objectives (90B50) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Cites Work

• A note on the extension principle for fuzzy sets
• Confidence intervals for optimal selection among alternatives with stochastic variable costs
• The impact of learning rate and constraints on production line performance
• Log-linear and non-log-linear learning curve models for production research and cost estimation
• Simulation-based cost estimation under economic uncertainty using kernel estimators
• Cost-tolerance analysis model based on a neural networks method

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