MCDM'16 - paper no. 12
ANALYSIS OF THE MULTIPLE ATTRIBUTE DECISION MAKING PROBLEM WITH INCOMPLETE INFORMATION ABOUT PREFERENCES AMONG THE CRITERIA
Maciej Wolny
Abstract:
The paper presents an overview of methods used in solving Multiple Attribute Decision Making (MADM) problems in the case of incomplete information about preferences among criteria, which are defined by explicit attributes of the problems. The paper presents the following methods: dominance, maxmin, maxmax, based on game theory, ELECTRE IV and parametric approach associated with Linear Partial Information and AHP. The presented methods focus on the problem of evaluation of investment projects in a hard coal mine.
Keywords:
incomplete inter-criteria information, ELECTRE IV, Linear Partial Information, AHP.
Reference index:
Maciej Wolny, (2016), ANALYSIS OF THE MULTIPLE ATTRIBUTE DECISION MAKING PROBLEM WITH INCOMPLETE INFORMATION ABOUT PREFERENCES AMONG THE CRITERIA, Multiple Criteria Decision Making (11), pp. 187-197
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