Abstract
Consensus, traditionally understood as a full and unanimous agreement, is a utopia in virtually all practical cases. A degree of consensus to indicate how far one is from complete agreement does therefore make sense. We present a ‘soft’ consensus measure which is basically a degree to which, say, “most pairs of individuals agree as to their preferences between almost all relevant options”. The point of departure is the set of individual preference relations. A fuzzy-logic-based calculus of linguistically quantified proposition is employed.
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Fedrizzi, M., Kacprzyk, J. (1988). On Measuring Consensus in the Setting of Fuzzy Preference Relations. In: Kacprzyk, J., Roubens, M. (eds) Non-Conventional Preference Relations in Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 301. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-51711-2_10
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DOI: https://doi.org/10.1007/978-3-642-51711-2_10
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