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Editorial
Authors:Michael Smithson
Institution:Behavioral Sciences, James Cook University, Queensland, Australia
Abstract:Linear programming problems with fuzzy parameters are formulated by fuzzy functions. The ambiguity considered here is not randomness, but fuzziness which is associated with the lack of a sharp transition from membership to nonmembership. Parameters on constraint and objective functions are given by fuzzy numbers. In this paper, our object is the formulation of a fuzzy linear programming problem to obtain a reasonable solution under consideration of the ambiguity of parameters. This fuzzy linear programming problem with fuzzy numbers can be regarded as a model of decision problems where human estimation is influential.
Keywords:Fuzzy linear programming  Fuzzy numbers  Fuzzy parameters  Fuzzy decision  Fuzzy function
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