With the development of information technology, DSS can be used to resolve the complex process of the feasible reasoning and scientific decision-making of projects. This paper offers 7 exploiting principles for the co...With the development of information technology, DSS can be used to resolve the complex process of the feasible reasoning and scientific decision-making of projects. This paper offers 7 exploiting principles for the computer support system on feasible reasoning and scientific decision-making of projects, that is, the principles of standardization, procedure, specification, agility, currency, practicability and development. On the basis of analysis on systematic procedure, the computer support system on feasible reasoning and scientific decision-making of projects is formed based on WEB, and its general structure, system function and the methods to be realized are introduced. The data composition of this system is analyzed following the principles of integrality, development, perspicuity and consistency. Also, the model-base management system is designed for the management of model storage and management of model operation.展开更多
Established during the long years of revolutionary struggle and the founding of the People's Republic of China (PRC), the Communist Party of China(CPC)-led decision-making system has a historical rationality. Bef...Established during the long years of revolutionary struggle and the founding of the People's Republic of China (PRC), the Communist Party of China(CPC)-led decision-making system has a historical rationality. Before China's reform and opening-up was implemented in 1978, the decision-making system highlighted centralization which led to disadvantages such as non-existent specialized division of functions, a low level of institutionalization, heavy reliance on experience, an enclosed decision-making mode and non-existent self-correction mechanisms. These disadvantages were institutional factors which ultimately caused the historic tragedy of " Cultural Revolution. "After the reform and opening-up, the decision-making structure, mode and mechanism were reformed in order to promote scientific, democratic and law-based decisions. History has shown that the reform has successfully overcome various challenges brought about by China's rapidly changing economy and society. From the perspective of political development, the reform has promoted several transitions: from individual controlled decision-making system to a more democratic decision-making process, from being empirical to scientifically-based, from highly centralized decision-making organizations to decentralized one, from an enclosed mode to an open mode, from passive to active participation in the decision-making process and from a non-institutionalized to an institutionalized system. Therefore, the CPC-led open decision-making model based on science and laws and participated by other parties has taken an initial shape.展开更多
Design frequently involves making tradeoffs to obtain the“optimal”solution to a design problem,often using intuition or past experience as a guide.Since vegetated roofing is a relatively complex and comparatively ne...Design frequently involves making tradeoffs to obtain the“optimal”solution to a design problem,often using intuition or past experience as a guide.Since vegetated roofing is a relatively complex and comparatively new technology to many practitioners,a rational,explicit method to help organize and rank the tradeoffs made during the design process is needed.This research comprises the creation of a framework diagramming the decision process involved in the selection of vegetated roofi ng systems.Through literature review,case studies and interviews with experts,the available knowledge is captured and organized to determine the critical parameters affecting design decisions.Six important evaluative categories are identifi ed and parameters within these categories are addressed in the context of a decision support system for green roof designers.A summation of the total importance of the advantages represented by each alternative is used to determine the most feasible green roof system for a particular project.The framework is demonstrated and compared with green roof designers’decision-making processes and conclusions are drawn regarding its effectiveness.展开更多
The approaches to discrete approximation of Pareto front using multi-objective evolutionary algorithms have the problems of heavy computation burden, long running time and missing Pareto optimal points. In order to ov...The approaches to discrete approximation of Pareto front using multi-objective evolutionary algorithms have the problems of heavy computation burden, long running time and missing Pareto optimal points. In order to overcome these problems, an approach to continuous approximation of Pareto front using geometric support vector regression is presented. The regression model of the small size approximate discrete Pareto front is constructed by geometric support vector regression modeling and is described as the approximate continuous Pareto front. In the process of geometric support vector regression modeling, considering the distribution characteristic of Pareto optimal points, the separable augmented training sample sets are constructed by shifting original training sample points along multiple coordinated axes. Besides, an interactive decision-making(DM)procedure, in which the continuous approximation of Pareto front and decision-making is performed interactively, is designed for improving the accuracy of the preferred Pareto optimal point. The correctness of the continuous approximation of Pareto front is demonstrated with a typical multi-objective optimization problem. In addition,combined with the interactive decision-making procedure, the continuous approximation of Pareto front is applied in the multi-objective optimization for an industrial fed-batch yeast fermentation process. The experimental results show that the generated approximate continuous Pareto front has good accuracy and completeness. Compared with the multi-objective evolutionary algorithm with large size population, a more accurate preferred Pareto optimal point can be obtained from the approximate continuous Pareto front with less computation and shorter running time. The operation strategy corresponding to the final preferred Pareto optimal point generated by the interactive DM procedure can improve the production indexes of the fermentation process effectively.展开更多
The current situation of the recreational agriculture development in Hainan was analyzed. The problems of imperfect security system,unsound policies and regulations,scant government support,low enthusiasm for developi...The current situation of the recreational agriculture development in Hainan was analyzed. The problems of imperfect security system,unsound policies and regulations,scant government support,low enthusiasm for developing recreational agriculture,lacking science and technology support and less special competitive products in Hainan were discussed. Through the reference of foreign countries and Taiwan Region policy support and legislative experience on recreational agriculture,it was recommended to perfect the policy system,develop the leading role of the government,enhance the legislation and supervision,pay attention to science and technology support,in order to promote the healthy sustainable development of recreational agriculture in Hainan.展开更多
Integrated River Basin Management(IRBM)has been a long discussed way to sustainably manage water and land resources;yet,very few examples of effective IRBM are found because there is a lack of sufficient scientific su...Integrated River Basin Management(IRBM)has been a long discussed way to sustainably manage water and land resources;yet,very few examples of effective IRBM are found because there is a lack of sufficient scientific support,as well as institutional accommodation,to successfully implement it.This paper overviews the major challenges with IRBM,the promising scientific approaches for the implementation of IRBM,and the areas of needed research,with considerable issues and experiences from China.It is expected that novel research will draw together disparate disciplines into an integrated scientific framework,upon which better modeling tools,stakeholder involvement,and decision-making support can be built.Cutting-edge new technologies will bring ideas of IRBM forward to theory and finally to practice.The paper will prompt scientists to undertake research to fill in the gaps in the current IRBM knowledge base and provide practitioners guidance on how to incorporate scientifically based information within the IRBM decision process.展开更多
The needs of mitigating COVID-19 epidemic prompt policymakers to make public health-related decision under the guidelines of science.Tremendous unstructured COVID-19 publications make it challenging for policymakers t...The needs of mitigating COVID-19 epidemic prompt policymakers to make public health-related decision under the guidelines of science.Tremendous unstructured COVID-19 publications make it challenging for policymakers to obtain relevant evidence.Knowledge graphs(KGs)can formalize unstructured knowledge into structured form and have been used in supporting decision-making recently.Here,we introduce a novel framework that can ex-tract the COVID-19 public health evidence knowledge graph(CPHE-KG)from papers relating to a modelling study.We screen out a corpus of 3096 COVID-19 modelling study papers by performing a literature assessment process.We define a novel annotation schema to construct the COVID-19 modelling study-related IE dataset(CPHIE).We also propose a novel multi-tasks document-level information extraction model SS-DYGIE++based on the dataset.Leveraging the model on the new corpus,we construct CPHE-KG containing 60,967 entities and 51,140 rela-tions.Finally,we seek to apply our KG to support evidence querying and evidence mapping visualization.Our SS-DYGIE++(SpanBERT)model has achieved a F1 score of 0.77 and 0.55 respectively in document-level entity recognition and coreference resolution tasks.It has also shown high performance in the relation identification task.With evidence querying,our KG can present the dynamic transmissions of COVID-19 pandemic in different countries and regions.The evidence mapping of our KG can show the impacts of variable non-pharmacological interventions to COVID-19 pandemic.Analysis demonstrates the quality of our KG and shows that it has the potential to support COVID-19 policy making in public health.展开更多
文摘With the development of information technology, DSS can be used to resolve the complex process of the feasible reasoning and scientific decision-making of projects. This paper offers 7 exploiting principles for the computer support system on feasible reasoning and scientific decision-making of projects, that is, the principles of standardization, procedure, specification, agility, currency, practicability and development. On the basis of analysis on systematic procedure, the computer support system on feasible reasoning and scientific decision-making of projects is formed based on WEB, and its general structure, system function and the methods to be realized are introduced. The data composition of this system is analyzed following the principles of integrality, development, perspicuity and consistency. Also, the model-base management system is designed for the management of model storage and management of model operation.
文摘Established during the long years of revolutionary struggle and the founding of the People's Republic of China (PRC), the Communist Party of China(CPC)-led decision-making system has a historical rationality. Before China's reform and opening-up was implemented in 1978, the decision-making system highlighted centralization which led to disadvantages such as non-existent specialized division of functions, a low level of institutionalization, heavy reliance on experience, an enclosed decision-making mode and non-existent self-correction mechanisms. These disadvantages were institutional factors which ultimately caused the historic tragedy of " Cultural Revolution. "After the reform and opening-up, the decision-making structure, mode and mechanism were reformed in order to promote scientific, democratic and law-based decisions. History has shown that the reform has successfully overcome various challenges brought about by China's rapidly changing economy and society. From the perspective of political development, the reform has promoted several transitions: from individual controlled decision-making system to a more democratic decision-making process, from being empirical to scientifically-based, from highly centralized decision-making organizations to decentralized one, from an enclosed mode to an open mode, from passive to active participation in the decision-making process and from a non-institutionalized to an institutionalized system. Therefore, the CPC-led open decision-making model based on science and laws and participated by other parties has taken an initial shape.
文摘Design frequently involves making tradeoffs to obtain the“optimal”solution to a design problem,often using intuition or past experience as a guide.Since vegetated roofing is a relatively complex and comparatively new technology to many practitioners,a rational,explicit method to help organize and rank the tradeoffs made during the design process is needed.This research comprises the creation of a framework diagramming the decision process involved in the selection of vegetated roofi ng systems.Through literature review,case studies and interviews with experts,the available knowledge is captured and organized to determine the critical parameters affecting design decisions.Six important evaluative categories are identifi ed and parameters within these categories are addressed in the context of a decision support system for green roof designers.A summation of the total importance of the advantages represented by each alternative is used to determine the most feasible green roof system for a particular project.The framework is demonstrated and compared with green roof designers’decision-making processes and conclusions are drawn regarding its effectiveness.
基金Supported by the National Natural Science Foundation of China(20676013,61240047)
文摘The approaches to discrete approximation of Pareto front using multi-objective evolutionary algorithms have the problems of heavy computation burden, long running time and missing Pareto optimal points. In order to overcome these problems, an approach to continuous approximation of Pareto front using geometric support vector regression is presented. The regression model of the small size approximate discrete Pareto front is constructed by geometric support vector regression modeling and is described as the approximate continuous Pareto front. In the process of geometric support vector regression modeling, considering the distribution characteristic of Pareto optimal points, the separable augmented training sample sets are constructed by shifting original training sample points along multiple coordinated axes. Besides, an interactive decision-making(DM)procedure, in which the continuous approximation of Pareto front and decision-making is performed interactively, is designed for improving the accuracy of the preferred Pareto optimal point. The correctness of the continuous approximation of Pareto front is demonstrated with a typical multi-objective optimization problem. In addition,combined with the interactive decision-making procedure, the continuous approximation of Pareto front is applied in the multi-objective optimization for an industrial fed-batch yeast fermentation process. The experimental results show that the generated approximate continuous Pareto front has good accuracy and completeness. Compared with the multi-objective evolutionary algorithm with large size population, a more accurate preferred Pareto optimal point can be obtained from the approximate continuous Pareto front with less computation and shorter running time. The operation strategy corresponding to the final preferred Pareto optimal point generated by the interactive DM procedure can improve the production indexes of the fermentation process effectively.
基金Supported by the 2013 Authorized Project"Research on Convenient Access to Plant Genetic Resources and Interest Sharing Mechanism"of Institute of Crop Sciences of Chinese Academy of Agricultural Sciences
文摘The current situation of the recreational agriculture development in Hainan was analyzed. The problems of imperfect security system,unsound policies and regulations,scant government support,low enthusiasm for developing recreational agriculture,lacking science and technology support and less special competitive products in Hainan were discussed. Through the reference of foreign countries and Taiwan Region policy support and legislative experience on recreational agriculture,it was recommended to perfect the policy system,develop the leading role of the government,enhance the legislation and supervision,pay attention to science and technology support,in order to promote the healthy sustainable development of recreational agriculture in Hainan.
基金supported by U.S.National Science Foundation(Grant No.CBET-0747276)
文摘Integrated River Basin Management(IRBM)has been a long discussed way to sustainably manage water and land resources;yet,very few examples of effective IRBM are found because there is a lack of sufficient scientific support,as well as institutional accommodation,to successfully implement it.This paper overviews the major challenges with IRBM,the promising scientific approaches for the implementation of IRBM,and the areas of needed research,with considerable issues and experiences from China.It is expected that novel research will draw together disparate disciplines into an integrated scientific framework,upon which better modeling tools,stakeholder involvement,and decision-making support can be built.Cutting-edge new technologies will bring ideas of IRBM forward to theory and finally to practice.The paper will prompt scientists to undertake research to fill in the gaps in the current IRBM knowledge base and provide practitioners guidance on how to incorporate scientifically based information within the IRBM decision process.
基金This work was supported in part by the National Natural Science Foundation of China(Grants No.72025404 and No.71621002)Bei-jing Natural Science Foundation(L192012)Beijing Nova Program(Z201100006820085).
文摘The needs of mitigating COVID-19 epidemic prompt policymakers to make public health-related decision under the guidelines of science.Tremendous unstructured COVID-19 publications make it challenging for policymakers to obtain relevant evidence.Knowledge graphs(KGs)can formalize unstructured knowledge into structured form and have been used in supporting decision-making recently.Here,we introduce a novel framework that can ex-tract the COVID-19 public health evidence knowledge graph(CPHE-KG)from papers relating to a modelling study.We screen out a corpus of 3096 COVID-19 modelling study papers by performing a literature assessment process.We define a novel annotation schema to construct the COVID-19 modelling study-related IE dataset(CPHIE).We also propose a novel multi-tasks document-level information extraction model SS-DYGIE++based on the dataset.Leveraging the model on the new corpus,we construct CPHE-KG containing 60,967 entities and 51,140 rela-tions.Finally,we seek to apply our KG to support evidence querying and evidence mapping visualization.Our SS-DYGIE++(SpanBERT)model has achieved a F1 score of 0.77 and 0.55 respectively in document-level entity recognition and coreference resolution tasks.It has also shown high performance in the relation identification task.With evidence querying,our KG can present the dynamic transmissions of COVID-19 pandemic in different countries and regions.The evidence mapping of our KG can show the impacts of variable non-pharmacological interventions to COVID-19 pandemic.Analysis demonstrates the quality of our KG and shows that it has the potential to support COVID-19 policy making in public health.