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- Areeg Abdalla, James J. Buckley
- Soft Comput.
- 2007

We apply our new fuzzy Monte Carlo method to a certain fuzzy linear regression problem to estimate the best solution. Thebest solution is a vector of triangular fuzzy numbers, for the fuzzy coefficients in the model, which minimizes one of two error measures. We use a quasi-random number generator to produce random sequences of these fuzzy vectors which… (More)

- JAMES J. BUCKLEY, COMMITTEE CHAIR, +4 authors AREEG ABDALLA
- 2006

- Areeg Abdalla, James J. Buckley
- Soft Comput.
- 2008

- Sameh H. Basha, Areeg S. Abdalla, Aboul Ella Hassanien
- 2016 12th International Computer Engineering…
- 2016

In this paper, we present a hybrid intelligent system based on Neutrosophic Logic (NL). In conjunction with Genetic Algorithm(GA) for classification. The neutrosophic logic is adapted for representing different forms of knowledge. GA is used to refine the generated neutrosophic rules. The performance of the proposed system is tested on three real-world… (More)

- Areeg Abdalla, James J. Buckley
- Soft Comput.
- 2009

- Mohamed El Halaby, Areeg Abdalla
- INFOS '16
- 2016

In this paper, we extend the Maximum Satisfiability (MaxSAT) problem to Łukasiewicz logic. The MaxSAT problem for a set of formulae Φ is the problem of finding an assignment to the variables in Φ that satisfies the maximum number of formulae. Three possible solutions (encodings) are proposed to the new problem: (1) Disjunctive Linear… (More)

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