Aspiration-Led Decision Support Systems: Theory and Methodology

This paper presents a review of the theory and methodology of aspiration-led multi-objective decision support systems as developed during the last decade. After a short historical note on the development of decision analysis and multi-objective optimization, diverse ways of understanding the concept of rationality in decision analysis and support are discussed and the development of aspiration-led decision support systems (ALDSS) is outlined. Foundations of multi-objective optimization theory are reviewed and their relations to reference point optimization, achievement scalarizing functions and aspiration-led decision support are presented, together with their extensions to the problems of dynamics, uncertainty, multi-person decisions. Various aspects of methodology of aspiration-led decision support are discussed along with the description of theoretical results. Some further aspects, such as the phases of decision support, the questions of possible standards of model computerization, the issues of optimization tools, of interactive graphics for decision support, are only outlined. Instead of conclusions, topics for further studies are indicated.

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