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Integration of Prospect Theory into the Outranking Approach PROMETHEE

  • Nils LercheEmail author
  • Jutta Geldermann
Conference paper
Part of the Operations Research Proceedings book series (ORP)

Abstract

Outranking methods as a specific application of Multi-Criteria Decision Analysis (MCDA) are applied to structure complex decision problems as well as to elicitate the decision makers preferences. Therefore, a consideration of behavioral effects within outranking-methods seems to be meaningful. Several behavioral effects and biases have been identified in previous studies, however, only few approaches exist to consider such behavioral issues within the application of MCDA-methods explicitly. The prospect theory developed by Kahneman and Tversky (1979) represents one of the most prominent theories from behavioural decision theory. Their findings concerning the decision behaviour of humans, e.g. loss aversion or reference dependency, are broadly supported and confirmed through a variety of empirical research. Hence, the aim of the presented paper is to integrate these elements from prospect theory within the outranking approach PROMETHEE. For that purpose, an additional discrete reference alternative is incorporated. A case study concerning the sustainable usage of biomass for energy conversion illustrates the new developed method.

Keywords

Preference Function Prospect Theory Loss Aversion Biogas Plant Decision Table 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This research is funded by a grant of the Ministry of Science and Culture of Lower Saxony and Volkswagenstiftung. It is part of the joint research project Sustainable use of bioenergy: bridging climate protection, nature conservation and society with a duration from 2009 till 2014.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Chair of Production and LogisticsGeorg-August-University GöttingenGöttingenGermany

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