Author/Authors :
Li, Xiang School of Economics and Management - Beijing University of Chemical Technology, Beijing, China , Ralescu, Dan 2 Department of Mathematical Sciences - University of Cincinnati, Cincinnati, OH, USA , Xu, Xiaofeng School of Economics and Management - China University of Petroleum, Qingdao, China , Li, Lei Faculty of Engineering, Hosei University, Tokyo, Japan , Diaz, Irene Department of Computer Science - University of Oviedo, Oviedo, Spain
Abstract :
Uncertain decision exists in various kinds of human behaviors, especially in coping with complex problems. There is no surprise that with the ever-increasing complexity of problems, uncertain decision will be made by different formal ways and technologies in dynamic environment, and it calls for innovative approaches to provide interpretable solutions and effective decisions. Mathematical programming with its broad ornamentation of technologies of linear programming, nonlinear programming, integer programming, uncertain programming, combinatorial optimization, and so on plays an important role in the formulating and solving uncertain problems.
