Comparison of Fuzzy and Crisp Random Variables by Monte Carlo Simulations

DOI10.1007/978-3-319-10765-3_2zbMath1385.60004OpenAlexW122973452MaRDI QIDQ2808093

Olgierd Hryniewicz

Publication date: 26 May 2016

Published in: Strengthening Links Between Data Analysis and Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-10765-3_2

zbMATH Keywords

Monte Carlo simulationrandom variablecomparison of fuzzy and crisp random variables

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Fuzzy probability (60A86)

Related Items (2)

The likelihood interpretation as the foundation of fuzzy set theory ⋮ Interval-based, nonparametric approach for resampling of fuzzy numbers

Cites Work

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• Simulation of fuzzy random variables
• Statistics with vague data
• Fuzzy random variables - I. Definitions and theorems
• Fuzzy random variables

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