2009
MAS 2009 Proceeding
Two heuristics for improving the efficiency of a markov chain based decision making method
Authors: René Chelvier, Claudia Krull, Graham Horton
Abstract
The paper describes two heuristics to reduce the numberof comparisons necessary to reach a certain goal for aMarkov model for multi-criteria and multi-persondecision making. The motivation results from a demandobserved in the early stages of an innovation process.Here, many alternatives need to be evaluated by severaldecision makers with respect to several criteria. Withthe implementation of the heuristics the number ofcomparisons necessary could be decreased significant.By reducing the evaluation effort necessary to reach agiven goal, we will make the Markov-chain decisionmaking method applicable to real world settings with alarger number of alternatives.
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