On the linear programming problems with interval coefficients
Proceedings of the 14th annual conference on Computers and industrial engineering
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Fuzzy Sets and Systems
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Artificial Intelligence
A class of linear interval programming problems and its application to portfolio selection
IEEE Transactions on Fuzzy Systems
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Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Hybrid approaches for approximate reasoning
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In this paper, a linear programming LP problem is considered where some or all of its coefficients in the objective function and/or constraints are rough intervals. In order to solve this problem, we will construct two LP problems with interval coefficients. One of these problems is an LP where all of its coefficients are upper approximations of rough intervals and the other is an LP where all of its coefficients are lower approximations of rough intervals. Via these two LPs, two newly solutions completely and rather satisfactory are defined. Some examples are given to demonstrate the results.