RT Book, Section
T1 On the structure of the k-additive fuzzy measures
A1 Combarro, Elías F.
A1 Miranda Menéndez, Pedro
A2 Carvalho, J.P.
A2 Dubois, D.
A2 Kaymak, U.
A2 Sousa, J.M.C.
AB The family of k-additive measures has been introduced as a midterm between probabilities and general fuzzy measures and finds a wide number of applications in practice. However, its structure is different from other families of fuzzy measures and is certainly more complex (for instance, its vertices are not always {0, 1}-valued), so it has not been yet fully studied. In this paper we present some results concerning the extreme points of the k-additive fuzzy measures. We give a characterization of these vertices as well as an algorithm to compute them. We show some examples of the results of this algorithm and provide lower bounds on the number of vertices of the n - 1-additive measures, proving that it grows much faster than the number of vertices of the general fuzzy measures. This suggests that k-additive measures might not be a good choice in modeling certain decision problems when the value of k is high but not equal to n.
PB International Fuzzy Systems Association (IFSA); European Society for Fuzzy Logic and Technology (EUSFLAT
SN 978-989-95079-6-8.
YR 2009
FD 2009
LK https://hdl.handle.net/20.500.14352/53176
UL https://hdl.handle.net/20.500.14352/53176
LA eng
NO Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, Lisbon, Portugal, July 20-24, 2009
NO MEC
NO FEDER
DS Docta Complutense
RD 21 abr 2025