In order to select the best vehicle scheduling route for hazardous materials, a new method
based on uncertain operator is proposed. On the foundation of establishing the indices of …

Decision makers are often requested to make a decision in which the factors of a system are
not known or the evidence is not sufficient. The uncertainties resulting from imprecise …

Multilevel programming is used to model a decentralized planning problem with multiple
decision makers in a hierarchical system. This paper aims at providing an uncertain …

In the traditional decision theory, choice with undetermined consequence is usually
regarded as random variable, which usually describes objective uncertainty. This paper first …

This paper employs uncertain programming to deal with uncertain optimal assignment
problem in which profit is uncertain. Within the framework of uncertain programming, it gives …

In this paper, we consider three types of uncertain programming models for the purpose of
selecting appropriate suppliers and allocating order quantities to them under under …

In this paper, we propose a superiority index method for multiple attribute decisionmaking
under uncertainty. A superiority index is defined for each alternative by comparing interval …

Uncertain theory is a powerful tool for describing human uncertainty, especially in social
economic studies. In this paper, we consider finite extensive games with payoffs being …