The selection of a facility location among alternative
locations is a multi-criteria decision-making problem that includes
both subjective and objective criteria. The conventional approaches
to facility location problems tend to be less effective in dealing with
the imprecise or vagueness nature of the linguistic assessment.
Thus, this situation can be regarded as a fuzzy multiple-criteria
decision making problem considering the fuzziness and uncertainty
of subjective perception. This paper proposes an alternative
approach, the additive fuzzy integral, to cope with the evaluation of
fuzzy MCDM problems. To illustrate the proposed procedure, the
site selection of municipal waste is investigated. In this paper, the
classification of subjective and objective criteria is constructed.
Factor analysis is employed to extract four independent common
factors, subjective and objective, with seven sub-criteria for
evaluating the four location alternatives. In this paper triangular
fuzzy number is employed to represent the decision-makers
subjective preferences on the considered criteria and alternatives.
The evaluation frame is constructed by using the Analytic Hierarchy
Process which fuzzified to derive the relative weights with respect
to each type of criteria. The fuzzy synthetic evaluation is aggregated
with fuzzy performance values and the best location is chosen