Random Numbers and Monte Carlo Approximation in Fuzzy Riemann Integral

Volume 4, Issue 1, pp 93--101
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Authors

Behuroz Fathi-Vajargah - Department of statistics, University of Guilan, Iran Akram Heidary-Harzavily - Department of statistics, university of Guilan, Iran

Abstract

In this paper, we want to improve Monte Carlo approximation in fuzzy Riemann integral it means that calculate exact amount of fuzzy Riemann integral based on $\alpha$-level sets with partition of generating function of random numbers' RAND' in commercial software MATLAB.

Share and Cite

ISRP Style

Behuroz Fathi-Vajargah, Akram Heidary-Harzavily, Random Numbers and Monte Carlo Approximation in Fuzzy Riemann Integral, Journal of Mathematics and Computer Science, 4 (2012), no. 1, 93--101

AMA Style

Fathi-Vajargah Behuroz, Heidary-Harzavily Akram, Random Numbers and Monte Carlo Approximation in Fuzzy Riemann Integral. J Math Comput SCI-JM. (2012); 4(1):93--101

Chicago/Turabian Style

Fathi-Vajargah, Behuroz, Heidary-Harzavily, Akram. "Random Numbers and Monte Carlo Approximation in Fuzzy Riemann Integral." Journal of Mathematics and Computer Science, 4, no. 1 (2012): 93--101

Keywords

• fuzzy Riemann integral
• $\alpha$-level sets.

•  65C05
•  26A42
•  26E50

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