Abstract:
Many business decision problems involve multiple objectives and can be described by
multiple objective linear programming (MOLP) models, Referring to the imprecision or fuzziness
inherent in human judgments, two types of inaccuracies should be incorporated in MOLP problems,
One is the experts' ambiguous understanding of the nature of the parameters in the problem
formulation process, and the other is the fuzzy goals of the decision maker (OM) for each of the
objective functions, Consider these two fuzziness features, this paper proposes an a-fuzzy goal
approximate (a-FGA) algorithm for achieving the fuzzy goals for the objective functions specified by
the OM in dealing with fuzzy multiple objective linear programming (FMOLP) problems with fuzzy
parameters under the different satisfactory degree a. The detail description and analysis to the
algorithm are supplied.
