caa a22 4500 605470154 CHVBK 20210128100326.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s00500-014-1402-x doi (NATIONALLICENCE)springer-10.1007/s00500-014-1402-x Triangular entropy of uncertain variables with application to portfolio selection [Elektronische Daten] [Yufu Ning, Hua Ke, Zongfei Fu] Entropy is used as a measure to characterize the uncertainty. So far, entropy for uncertain variables in the forms of logarithm function and triangular function has been proposed. This paper mainly studies the concept of triangular entropy, and verifies its properties such as translation invariance and positive linearity. As an application, this paper also considers a mean-variance portfolio selection problem with triangular entropy as a constraint. Springer-Verlag Berlin Heidelberg, 2014 Entropy nationallicence Uncertain variable nationallicence Uncertainty theory nationallicence Portfolio selection nationallicence Ning Yufu School of Information Engineering, Shandong Youth University of Political Science, 250014, Jinan, China aut Ke Hua School of Economics and Management, Tongji University, 200092, Shanghai, China aut Fu Zongfei School of Information, Renmin University of China, 100872, Beijing, China aut Soft Computing Springer Berlin Heidelberg 19/8(2015-08-01), 2203-2209 1432-7643 19:8<2203 2015 19 500 https://doi.org/10.1007/s00500-014-1402-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1402-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ning Yufu School of Information Engineering, Shandong Youth University of Political Science, 250014, Jinan, China aut NATIONALLICENCE 700 1- Ke Hua School of Economics and Management, Tongji University, 200092, Shanghai, China aut NATIONALLICENCE 700 1- Fu Zongfei School of Information, Renmin University of China, 100872, Beijing, China aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/8(2015-08-01), 2203-2209 1432-7643 19:8<2203 2015 19 500