QUALITATIVE MULTICRITERIA METHODS FOR FUZZY-EVALUATION PROBLEMS - AN ILLUSTRATION OF ECONOMIC-ECOLOGICAL EVALUATION

It is nowadays increasingly realised that environmental and resource problems generally have complicated economic and ecological dimensions. Therefore, there is a clear need for models offering a comprehensible and operational representation of a real-world environmental system. A great variety of quantitative (descriptive and forecasting) models has been developed for compound environmental systems, but there is still a need in a planning context for evaluation methods taking into account information of a mixed (qualitative and quantitative) type. This paper presents a new discrete multicriteria evaluation model whose impact (or evaluation) matrix may include either crisp, stochastic or fuzzy measurements of the performance of an alternative a(n) with respect to a criterion g(m). No traditional weighting of criteria is used in this method. From an empirical point of view, this model is particularly suitable for economic-ecological modelling incorporating various degrees of precision of the variables measured. From a methodological point of view, two main issues will be faced here: (i) the problem of equivalence of the used procedures in order to standardise the various evaluations (of a mixed type) of the performance of alternatives according to different criteria; (ii) the problem of comparison of fuzzy numbers typical of all fuzzy multicriteria methods. An illustrative numerical example will be presented at the end of the paper.