A hybrid control system is composed of three boxes which are analogous box, digital time box and decision maker box. A hierarchical structure of decision maker in hybrid control systems is presented in this paper, whi...A hybrid control system is composed of three boxes which are analogous box, digital time box and decision maker box. A hierarchical structure of decision maker in hybrid control systems is presented in this paper, which is that decision maker consists of two components, i.e., policy decision and coordination. Policy decision can design coordination and digital time box. And policy decision consists of two parts, i.e., steady policy decision and transient policy decision. In general,steady policy decision corresponds to steady requirements and transient policy decision corresponds to transient requirements in systems. A chemical concentration control system severs an illustrative example to show the features of the hierarchical decision maker.展开更多
At the first gathering of its kind on the role of science in implementing the Sendai Framework for Disaster Risk Reduction 2015–2030,over 750 scientists,policymakers,business people,and practitioners met in Geneva fr...At the first gathering of its kind on the role of science in implementing the Sendai Framework for Disaster Risk Reduction 2015–2030,over 750 scientists,policymakers,business people,and practitioners met in Geneva from January 27–29,2016.The UNISDR Science and Technology Conference on the Implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030 fea-展开更多
The final solution set given by almost all existing preference-based multi-objective evolutionary algorithms(MOEAs)lies a certain distance away from the decision makers’preference information region.Therefore,we prop...The final solution set given by almost all existing preference-based multi-objective evolutionary algorithms(MOEAs)lies a certain distance away from the decision makers’preference information region.Therefore,we propose a multi-ob jective optimization algorithm,referred to as the double-grid interactive preference based MOEA(DIPMOEA),which explicitly takes the preferences of decision makers(DMs)into account.First,according to the optimization ob jective of the practical multi-ob jective optimization problems and the preferences of DMs,the membership functions are mapped to generate a decision preference grid and a preference error grid.Then,we put forward two dominant modes of population,preference degree dominance and preference error dominance,and use this advantageous scheme to update the population in these two grids.Finally,the populations in these two grids are combined with the DMs’preference interaction information,and the preference multi-ob jective optimization interaction is performed.To verify the performance of DIP-MOEA,we test it on two kinds of problems,i.e.,the basic DTLZ series functions and the multi-ob jective knapsack problems,and compare it with several different popular preference-based MOEAs.Experimental results show that DIP-MOEA expresses the preference information of DMs well and provides a solution set that meets the preferences of DMs,quickly provides the test results,and has better performance in the distribution of the Pareto front solution set.展开更多
This paper presents an online integral reinforcement learning(RL)solution for problems with hierarchy decision makers.Specifically,we reformulate this model as a leaderfollower game,in which control input and determin...This paper presents an online integral reinforcement learning(RL)solution for problems with hierarchy decision makers.Specifically,we reformulate this model as a leaderfollower game,in which control input and deterministic disturbance act as decision makers at different levels of hierarchy:The control input plays the role of the leader,while the disturbance plays the role of the follower.The main contributions of this paper can be summarized as follows.First,we introduce online RL to deal with systems that have partially unknown information,meaning that accurate dynamic information is not required.Second,we solve the leader-follower coupled Hamilton-Jacobi(HJ)and Riccati equations approximately online using the derived algorithm.Third,we provide turning laws for cost functions and controllers,which ensure closed-loop stability simultaneously.展开更多
A distributed blackboard decision-making framework for collaborative planning based on nested genetic algorithm （NGA） is proposed. By using blackboard-based communication paradigm and shared data structure, multiple...A distributed blackboard decision-making framework for collaborative planning based on nested genetic algorithm （NGA） is proposed. By using blackboard-based communication paradigm and shared data structure, multiple decision-makers （DMs） can collaboratively solve the tasks-platforms allocation scheduling problems dynamically through the coordinator. This methodo- logy combined with NGA maximizes tasks execution accuracy, also minimizes the weighted total workload of the DM which is measured in terms of intra-DM and inter-DM coordination. The intra-DM employs an optimization-based scheduling algorithm to match the tasks-platforms assignment request with its own platforms. The inter-DM coordinates the exchange of collaborative request information and platforms among DMs using the blackboard architecture. The numerical result shows that the proposed black- board DM framework based on NGA can obtain a near-optimal solution for the tasks-platforms collaborative planning problem. The assignment of platforms-tasks and the patterns of coordination can achieve a nice trade-off between intra-DM and inter-DM coordination workload.展开更多
The popularity of self-service technologies,particularly in the banking industry,more precisely with electronic banking channel services,has undergone a major change as individuals’lifestyles develop.This change has ...The popularity of self-service technologies,particularly in the banking industry,more precisely with electronic banking channel services,has undergone a major change as individuals’lifestyles develop.This change has affected individuals’decisions about accepting any new Information Technology,and Information Communications Technology services that are electronically mediated,for example,E-Banking channel services.This study investigates the effect of Individual Factors on User Behaviour,and the moderating role of Trust in the relationship between Individual Factors,and User Behaviour based on the Unified Theory of Acceptance and Use of Technology.This research proposes a model,with a second-order components research framework.It improves current explanations of the acceptance of electronic banking channel services.Furthermore,this study highlights the role of trust on the acceptance of electronic banking channel services,which is the most crucial consideration in customers’decisions to accept electronic banking channels services.Thus,trust is the spine of the system in the Kurdistan Region of Iraq.Data were collected using an online questionnaire that received 476 valid responses from academic staff who work at the University of Sulaimani.The model tested data using the Partial Least Squares-Structural Equation Modelling approach.The results show that Individual Factors have a positive effect on User Behaviour.Besides,results show that trust moderates the relationship between Individual Factors and User Behaviour.展开更多
The purpose of this research is to reduce requirements for decision maker (DM)to supply preference information during the interactive multiojective decisionmaking process. By introducing a concept of displaced toleran...The purpose of this research is to reduce requirements for decision maker (DM)to supply preference information during the interactive multiojective decisionmaking process. By introducing a concept of displaced tolerant value, a newalsorithm (called IDTV) is presented. It allows the DM to choose convenientways and contents of supplying necessary information according to differentconditions. A detailed dexseription of the algorithm is provided and a numericalexample is also given to illustrate the procedure described.展开更多
Ice conditions on the North Sea Route are characterized by time-to-time variability;favourable ice conditions exist only in 3 out of 10 years.Navigation becomes complicated and dangerous in connection with the deterio...Ice conditions on the North Sea Route are characterized by time-to-time variability;favourable ice conditions exist only in 3 out of 10 years.Navigation becomes complicated and dangerous in connection with the deterioration of weather and ice conditions:compression of ice,visibility decline,fall of temperature and other reasons.In this case,the person who makes the decision on the departure of a cargo ship from the port should choose one of three variants of the operations.First,traffic congestion before an improvement in the ice conditions;second,the departure from a port and independent navigation on the scheduled route;or third,navigation with icebreaker assistance.Each of the variants differs in the defined risk of accident and possible economic losses,including the idle time in a port and the costs of icebreaker assistance.This paper contains a possible approach to the decision:applying the yardstick of acceptable risk that allows considering probabilities of realization of the various scenarios of the ice conditions,the probability of emergency incidents,economic losses because of idle time or repair work after damage,and readiness of the decision maker to run acceptable risks for the acceleration of delivery of the onboard cargo.展开更多
Selecting the optimal model helps decision-makers to reduce the uncertainty in the slope calculation process.The uncertainty quantification process using root-mean-square error(RMSE)has limitations.It can obscure loca...Selecting the optimal model helps decision-makers to reduce the uncertainty in the slope calculation process.The uncertainty quantification process using root-mean-square error(RMSE)has limitations.It can obscure local uncertainty features and neglect the statistical characteristics of uncertainty,which may hinder decision-makers'understanding and model selection.展开更多
The nations invoIved in the BRI are not mere receivers or recipients of the given development paradigms,but active decision-makers in their respective development models.
文摘A hybrid control system is composed of three boxes which are analogous box, digital time box and decision maker box. A hierarchical structure of decision maker in hybrid control systems is presented in this paper, which is that decision maker consists of two components, i.e., policy decision and coordination. Policy decision can design coordination and digital time box. And policy decision consists of two parts, i.e., steady policy decision and transient policy decision. In general,steady policy decision corresponds to steady requirements and transient policy decision corresponds to transient requirements in systems. A chemical concentration control system severs an illustrative example to show the features of the hierarchical decision maker.
文摘At the first gathering of its kind on the role of science in implementing the Sendai Framework for Disaster Risk Reduction 2015–2030,over 750 scientists,policymakers,business people,and practitioners met in Geneva from January 27–29,2016.The UNISDR Science and Technology Conference on the Implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030 fea-
基金supported by the National Natural Science Foundation of China(No.72101266)the Military Postgraduate Funding Project+2 种基金China(No.JY2021B042)the Hunan Provincial Postgraduate Scientific Research Innovation ProjectChina(No.CX20200029)。
文摘The final solution set given by almost all existing preference-based multi-objective evolutionary algorithms(MOEAs)lies a certain distance away from the decision makers’preference information region.Therefore,we propose a multi-ob jective optimization algorithm,referred to as the double-grid interactive preference based MOEA(DIPMOEA),which explicitly takes the preferences of decision makers(DMs)into account.First,according to the optimization ob jective of the practical multi-ob jective optimization problems and the preferences of DMs,the membership functions are mapped to generate a decision preference grid and a preference error grid.Then,we put forward two dominant modes of population,preference degree dominance and preference error dominance,and use this advantageous scheme to update the population in these two grids.Finally,the populations in these two grids are combined with the DMs’preference interaction information,and the preference multi-ob jective optimization interaction is performed.To verify the performance of DIP-MOEA,we test it on two kinds of problems,i.e.,the basic DTLZ series functions and the multi-ob jective knapsack problems,and compare it with several different popular preference-based MOEAs.Experimental results show that DIP-MOEA expresses the preference information of DMs well and provides a solution set that meets the preferences of DMs,quickly provides the test results,and has better performance in the distribution of the Pareto front solution set.
基金supported by the Support Plan on Science and Technology for Youth Innovation of Universities in Shandong Province(No.2021KJ086)the National Natural Science Foundation of China(Nos.62003234 and 61873179)the National Natural Science Foundation of Shandong Province(No.ZR2020QF048).
文摘This paper presents an online integral reinforcement learning(RL)solution for problems with hierarchy decision makers.Specifically,we reformulate this model as a leaderfollower game,in which control input and deterministic disturbance act as decision makers at different levels of hierarchy:The control input plays the role of the leader,while the disturbance plays the role of the follower.The main contributions of this paper can be summarized as follows.First,we introduce online RL to deal with systems that have partially unknown information,meaning that accurate dynamic information is not required.Second,we solve the leader-follower coupled Hamilton-Jacobi(HJ)and Riccati equations approximately online using the derived algorithm.Third,we provide turning laws for cost functions and controllers,which ensure closed-loop stability simultaneously.
基金supported by the National Aerospace Science Foundation of China(20138053038)the Graduate Starting Seed Fund of Northwestern Polytechnical University(Z2015111)
文摘A distributed blackboard decision-making framework for collaborative planning based on nested genetic algorithm （NGA） is proposed. By using blackboard-based communication paradigm and shared data structure, multiple decision-makers （DMs） can collaboratively solve the tasks-platforms allocation scheduling problems dynamically through the coordinator. This methodo- logy combined with NGA maximizes tasks execution accuracy, also minimizes the weighted total workload of the DM which is measured in terms of intra-DM and inter-DM coordination. The intra-DM employs an optimization-based scheduling algorithm to match the tasks-platforms assignment request with its own platforms. The inter-DM coordinates the exchange of collaborative request information and platforms among DMs using the blackboard architecture. The numerical result shows that the proposed black- board DM framework based on NGA can obtain a near-optimal solution for the tasks-platforms collaborative planning problem. The assignment of platforms-tasks and the patterns of coordination can achieve a nice trade-off between intra-DM and inter-DM coordination workload.
文摘The popularity of self-service technologies,particularly in the banking industry,more precisely with electronic banking channel services,has undergone a major change as individuals’lifestyles develop.This change has affected individuals’decisions about accepting any new Information Technology,and Information Communications Technology services that are electronically mediated,for example,E-Banking channel services.This study investigates the effect of Individual Factors on User Behaviour,and the moderating role of Trust in the relationship between Individual Factors,and User Behaviour based on the Unified Theory of Acceptance and Use of Technology.This research proposes a model,with a second-order components research framework.It improves current explanations of the acceptance of electronic banking channel services.Furthermore,this study highlights the role of trust on the acceptance of electronic banking channel services,which is the most crucial consideration in customers’decisions to accept electronic banking channels services.Thus,trust is the spine of the system in the Kurdistan Region of Iraq.Data were collected using an online questionnaire that received 476 valid responses from academic staff who work at the University of Sulaimani.The model tested data using the Partial Least Squares-Structural Equation Modelling approach.The results show that Individual Factors have a positive effect on User Behaviour.Besides,results show that trust moderates the relationship between Individual Factors and User Behaviour.
文摘The purpose of this research is to reduce requirements for decision maker (DM)to supply preference information during the interactive multiojective decisionmaking process. By introducing a concept of displaced tolerant value, a newalsorithm (called IDTV) is presented. It allows the DM to choose convenientways and contents of supplying necessary information according to differentconditions. A detailed dexseription of the algorithm is provided and a numericalexample is also given to illustrate the procedure described.
文摘Ice conditions on the North Sea Route are characterized by time-to-time variability;favourable ice conditions exist only in 3 out of 10 years.Navigation becomes complicated and dangerous in connection with the deterioration of weather and ice conditions:compression of ice,visibility decline,fall of temperature and other reasons.In this case,the person who makes the decision on the departure of a cargo ship from the port should choose one of three variants of the operations.First,traffic congestion before an improvement in the ice conditions;second,the departure from a port and independent navigation on the scheduled route;or third,navigation with icebreaker assistance.Each of the variants differs in the defined risk of accident and possible economic losses,including the idle time in a port and the costs of icebreaker assistance.This paper contains a possible approach to the decision:applying the yardstick of acceptable risk that allows considering probabilities of realization of the various scenarios of the ice conditions,the probability of emergency incidents,economic losses because of idle time or repair work after damage,and readiness of the decision maker to run acceptable risks for the acceleration of delivery of the onboard cargo.
基金supported by the National Key Research and Development Program of China:Core Technologies and Software Systems of Geospatial Intelligence(Project No.:2021YFB3900900).
文摘Selecting the optimal model helps decision-makers to reduce the uncertainty in the slope calculation process.The uncertainty quantification process using root-mean-square error(RMSE)has limitations.It can obscure local uncertainty features and neglect the statistical characteristics of uncertainty,which may hinder decision-makers'understanding and model selection.
文摘The nations invoIved in the BRI are not mere receivers or recipients of the given development paradigms,but active decision-makers in their respective development models.
