FUZZY MULTIPLE ATTRIBUTE DECISION-MAKING - A REVIEW AND NEW PREFERENCE ELICITATION TECHNIQUES

This paper reviews the main theories and methods used for multiple att ribute decision making in a fuzzy environment. Fuzzy multiple attribut e decisions involve two processes, the rating and the ranking of alter natives. If the rating results are crisp then the ranking procedure be comes straightforward; hence, the emphasis of this paper is on obtaini ng crisp ratings for alternatives. In order to aid the decision maker to express his/her attribute preferences, new elicitation techniques t o determine attributes importance are proposed. These techniques range from statistical to scaling methods based on linguistic variables, an d so enable a more versatile elicitation procedure as well as providin g crisp preferences.