Abstract
Aggregation of information is important in many fields, ranging from engineering and economics to artificial intelligence and decision making processes. Aggregation refers to the process of combining a number of values into a single value so that the final result of aggregation takes into account, in a given form, all individual values under consideration. In decision making processes the values to be aggregated are typically preference or satisfaction degrees. This paper could serve as a theoretical background for applications mainly in the area of decision analysis, decision making or decision support.
This research has been supported by GACR project No. 402090405 and the Kyoto College of Graduate Studies for Informatics.
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RamÃk, J., Vlach, M. (2010). Aggregation of Quasiconcave Functions. In: Huynh, VN., Nakamori, Y., Lawry, J., Inuiguchi, M. (eds) Integrated Uncertainty Management and Applications. Advances in Intelligent and Soft Computing, vol 68. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11960-6_22
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DOI: https://doi.org/10.1007/978-3-642-11960-6_22
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