The aim of the subject is to introduce main problems of Computer-aided Decision Making -- a discipline that – when a group of decision makers is involved - provides organization of a process leading to the final decision and arms it with appropriate methods in the computerized form.
Decision aiding (DA) contribution to a decision process. Structure of the process (potential actions, alternatives, family of criteria, their scales, problematic of DA). Imperfect knowledge of DA. Multicriteria DA methods: outranking methods (Electre), multiattribute utility and value theories (Promethe), non-classical MCDA approaches. Contribution of multiobjective mathematical programming and heuristic searching in MCDA. Multiobjective programming (decision and objective spaces, nondominated outcomes and efficient solutions). Pareto preference relation, cone, solutions. Scalarization and nonscalarization methods. Experimental realization of software tools implementing chosen methods. General requirements for computerized decision aiding systems. Conformity to organization of the decision process.
Charakterystyka pozostałych zajęć
1. Jose Figueira, Salvatore Greco, and Matthias Ehrgott, editors. MULTIPLE CRITERIA DECISION ANALYSIS: State of the Art Surveys. Springer, 2005.
2. Edmund K. Burke and Graham Kendall, editors. SEARCH METHODOLOGIES. Introductory Tutorials in Optimization and Decision Support Techniques. Springer, 2005.