Abstract
This paper offers a brief and nontechnical introduction to the use of conjoint measurement in multiple criteria decision making. The emphasis is on the, central, additive value function model. We outline its axiomatic foundations and present various possible assessment techniques to implement it. Some extensions of this model, e.g., nonadditive models or models tolerating intransitive preferences are then briefly reviewed.
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Acknowledgements
We thank two anonymous referees for their very helpful comments and suggestions. Part of this work was accomplished while Denis Bouyssou was visiting the Service de Mathématique de la Gestion at the Université Libre de Bruxelles (Brussels, Belgium). The warm hospitality of the Service de Mathématique de la Gestion, the support of the Belgian Fonds National de la Recherche Scientistic and the Brussels-Capital Region through a “Research in Brussels” action grant are gratefully acknowledged. Many Figures in this text were inspired by the ones drawn by Christophe Gonzales in [110].
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Bouyssou, D., Pirlot, M. (2016). Conjoint Measurement Tools for MCDM. In: Greco, S., Ehrgott, M., Figueira, J. (eds) Multiple Criteria Decision Analysis. International Series in Operations Research & Management Science, vol 233. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-3094-4_4
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