| In this paper, firstly, the general approaches of fuzzy mathematical programming are introduced. Secondly, ranging fuzzy numbers are introduced by several methods. Thirdly, rangking methods of fuzzy numbers are extended and put the methods into comparition of inequality practice and the method of trapezoid fuzzy numbers comparition is extended. At last, we use two statistical confidence intervals to derive level interval- valued fuzzy numbers, and get another linear programming problem.
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