In a decision aiding context, knowing the preferences of the Decision Maker (DM) and determining weights of criteria are very hard questions. Several methods can be used to give an appropriate value to the weights of criteria. J. Simos proposed a very simple procedure, using a set of cards, allowing to determine indirectly numerical values for weights. The purpose of this paper is first to explain why the above method needs to be revised, and second, the revised version we propose. This new version takes into account a new kind of information from the DM and changes certain computing rules of the former method. A software has been implemented based on the revised Simos' procedure whose main features are presented in this paper. The new method has been applied to different real-life cases (public transportation problems, water resources problems, environment problems, etc); it proved to be successful.
Stochastic multicriteria acceptability analysis (SMAA) comprises a family of multiple criteria decision-aiding (MCDA) methods for problems including incomplete, imprecise, and uncertain information. Methods of the family allow solving MCDA problems of various types. Even though the methods have been applied in the past in various real-life decision-making situations, the structure of a unified SMAA framework has not been studied. In this paper we describe the methods of the family and define a unified SMAA framework. We also point out the key points in the methodology for future research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.