Rene Chelvier

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This paper describes a new algorithm for the evaluation of alternatives by a group of decision makers according to multiple criteria. The algorithm is motivated by the need to quickly evaluate a large number of ideas in the early stages of an innovation process, when little or no information about the ideas is available. The algorithm is based on a Markov(More)
The paper describes a Markov model for multi-criteria and multi-person decision making. The motivation results from a demand observed in the early stages of an innovation process. Here, many alternatives need to be evaluated by several decision makers with respect to several criteria. The model derivation and description can be split into the evaluation(More)
This paper describes a course in innovation offered to students at the University of Magdeburg in Germany. The course is based on the premise that idea generation can be viewed as a methodical discipline, and offers a unique combination of the psychological framework for creative thinking, the business background for innovation and state-of-theart(More)
The paper describes two heuristics to reduce the number of comparisons necessary to reach a certain goal for a Markov model for multi-criteria and multi-person decision making. The motivation results from a demand observed in the early stages of an innovation process. Here, many alternatives need to be evaluated by several decision makers with respect to(More)
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