Bahri Oumayma

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This paper deals with multi-objective problems under uncertainty, using the possibilistic framework which offers a simple and natural way to express uncertainty underlying most of real-world problems. To this end, we propose new Pareto relations for ranking the generated triangular fuzzy solutions in both mono-objective and multi-objective cases. The(More)
This paper addresses multi-objective problems with fuzzy data which are expressed by means of triangular fuzzy numbers. In our previous work, we have proposed a fuzzy Pareto approach for ranking the generated triangular-valued functions. Then, since the classical multi-objective optimization methods can only use crisp values, we have applied a(More)
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