Multiobjective mathematical programming problems, in particular the vector
optimization problems, define a well known and studied area because of its
relevance to numerous practical applications. In this paper vector optimiza
tion problems with a fuzzy nature are considered. In these problems usually
it is assumed that all the objective functions involved come from the same
decision maker. The problem considered here assumes, however, that the obj
ective functions can be defined by different decision makers, and that the
coefficients in each of these objective functions are fuzzy numbers. Hence,
solution methodologies for these multiobjective fuzzy mathematical program
ming problems, using different ordering methods ranking fuzzy numbers, are
proposed. As an illustration a bi-objective model for land use is presented
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