Abstract
In this chapter we present the application of methods based on interval modeling and aggregation in OvaExpert computer support system [OvaExpert project homepage: http://ovaexpert.pl/en/] designed for ovarian tumor diagnosis (however applicable also in other medical fields). It was shown that such methods made it possible to reduce the negative impact of lack of data and lead to meaningful and accurate decisions [2, 3, 4, 5, 6, 7, 8, 9, 10]. Here the behavior of some new interval-valued operators in OvaExpert is shown, namely there are considered possible and necessary aggregation functions and aggregation functions with respect to admissible linear orders. These aggregation operators were not previously considered in OvaExpert. The results prove that these new aggregation operators may be competitive with others, especially if it comes to the cost matrix results.
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