Background: Today, in healthcare field that is changing rapidly, decision-makers encounter with ever-increasing inquiries on clinical and administrative information to realize customers’ legal and clinical requirements. Therefore, making decisions on healthcare has changed into a vital, complex and unstructured issue. The present paper mainly focuses on describing decisionmaking advantages, pos...

Public health emergencies are more related to the safety and of public. For management public emergencies, all parties’ cooperation is key preventing controlling emergencies. Based on assumption bounded rationality, we formulate a tripartite evolutionary game model, involving local government, enterprises, public, for emergency, e.g., COVID-19. The stable strategies under different conditions e...

Due to the opacity of machine learning technology, there is a need for explainability and fairness in decision support systems used public or private organizations. Although criteria appropriate explanations fair decisions change depending on values those who are affected by decisions, lack discussion framework consider outputs each stakeholder. In this paper, we propose that call “stakeholder-...

Due to the nature of the geological and mining activities, different input parameters in the grade estimation and mineral resource evaluation are always tainted with uncertainties. It is possible to investigate the uncertainties related to the measurements and parameters of the variogram model using the fuzzy kriging method instead of the kriging method. The fuzzy kriging theory has already bee...

Power retail companies in the electricity market make profits through buying and selling power energy wholesale markets, respectively. Traditionally, they are assumed to bid with same objective, i.e., maximize profit. This paper proposes a multiagent reinforcement learning (MRL)-based model simulate diverse bidding decision-making concerning various operation objectives profit-sharing modes of ...

Recommender systems have been successfully applied to alleviate the problem of information overload and assist users’ decision makings. Multi-stakeholder recommender produce item recommendations end user by considering perspective multiple stakeholders. Existing research on multi-stakeholder relies offline evaluations only, online studies are still under investigation. This paper made first att...