This paper focuses on fast algorithm for computing the assignment reduct in inconsistent incomplete decision systems. It is quite inconvenient to judge the assignment reduct directly ac-cording to its definition. We p...This paper focuses on fast algorithm for computing the assignment reduct in inconsistent incomplete decision systems. It is quite inconvenient to judge the assignment reduct directly ac-cording to its definition. We propose the judgment theorem for the assignment reduct in the inconsistent incomplete decision system, which greatly simplifies judging this type reduct. On such basis, we derive a novel attribute significance measure and construct the fast assignment reduction algorithm （F-ARA）, intended for com-puting the assignment reduct in inconsistent incomplete decision systems. Final y, we make a comparison between F-ARA and the discernibility matrix-based method by experiments on 13 Univer-sity of California at Irvine （UCI） datasets, and the experimental results prove that F-ARA is efficient and feasible.展开更多
Synergistic carbon emission reduction at the urban scale is an inherent requirement for China to realize its carbon emission reduction commitments and promote sustainable and regional synergistic development.Using 16 ...Synergistic carbon emission reduction at the urban scale is an inherent requirement for China to realize its carbon emission reduction commitments and promote sustainable and regional synergistic development.Using 16 prefectural cities in Shandong Province as an example,this study defines and quantifies the regional carbon emission reduction capacity(CERC)based on the synergistic development of carbon emission reduction,environmental protection,and economic growth objectives.The spatial network characteristics of the(CERC)and its drivers were analyzed using social network analysis and quadratic assignment procedure regression methods.The results revealed that the spatial correlation of the CERC among prefectural cities has been increasing over the years.Jinan−Zibo−Qingdao is the center of the network,while the spatial linkage strength in the southwest and northeast of Shandong Province is weak.Geospatial distance and scientific development differences have a significant negative effect on the intensity of spatial association,while differences in economic and informatization developments have a considerable positive impact.Environmental regulatory differences and transportation differences are not significant.This study offers a methodological reference for similar studies in other countries or regions.At the same time,the findings provide a scientific basis for the government to rationally allocate urban resources and promote regional synergistic carbon emission reduction.展开更多
Energy saving and emission reduction for railway systems should not only be studied from a technical perspective but should also be focused on management and economics. On the basis of relevant trainscheduling models ...Energy saving and emission reduction for railway systems should not only be studied from a technical perspective but should also be focused on management and economics. On the basis of relevant trainscheduling models for train operation management, in this paper we introduce an extended multi-objective trainscheduling optimization model considering locomotive assignment and segment emission constraints for energy saving. The objective of setting up this model is to reduce the energy and emission cost as well as total passenger- time. The decision variables include continuous variables such as train arrival and departure time, and binary vari- ables such as locomotive assignment and segment occu- pancy. The constraints are concerned with train movement, trip time, headway, and segment emission, etc. To obtain a non-dominated satisfactory solution on these objectives, a fuzzy multi-objective optimization algorithm is employed to solve the model. Finally, a numerical example is performed and used to compare the proposed model with the existing model. The results show that the proposed model can reduce the energy consumption, meet exhausts emission demands effectively by optimal locomotive assignment, and its solution methodology is effective.展开更多
The meaning of the term“reduction”in Double Reduction Policy implores teachers to reflect on their teaching process and improve teaching efficiency.Not only should the quantity be reduced,but so should the behavior....The meaning of the term“reduction”in Double Reduction Policy implores teachers to reflect on their teaching process and improve teaching efficiency.Not only should the quantity be reduced,but so should the behavior.Having a comprehensive understanding of the students’learning process is actually a form of science.Therefore,we need to study and enhance its development[1].In order to reduce the learning burden and increase the efficiency of classroom teaching,we must clearly identify the inefficient and ineffective behaviors in classroom teaching,so as to avoid the following situations:a lack of deep thinking,a lack of ability in lesson preparation,fragmentation of questions and answers,a lack of questions that highlight the key points,anticlimax teaching process,and the habit of running over time in class[2,3].On this basis,this paper elaborates the current education state and clarifies the basic requirements of effective classroom teaching.Meanwhile,to reduce students’workload and increase the efficiency in carrying out assignments,much attention should be paid to optimizing assignment design and refining homework review and feedback.The purpose is to assign homework with an appropriate amount(achievable),precision(targeted),and suitability(personalized).Putting an end to the repetitious and unified training is not enough to improve the effect.展开更多
基金supported by the National Natural Science Foundation of China(61363047)the Jiangxi Education Department(GJJ13760)the Science and Technology Support Foundation of Jiangxi Province(20111BBE50008)
文摘This paper focuses on fast algorithm for computing the assignment reduct in inconsistent incomplete decision systems. It is quite inconvenient to judge the assignment reduct directly ac-cording to its definition. We propose the judgment theorem for the assignment reduct in the inconsistent incomplete decision system, which greatly simplifies judging this type reduct. On such basis, we derive a novel attribute significance measure and construct the fast assignment reduction algorithm （F-ARA）, intended for com-puting the assignment reduct in inconsistent incomplete decision systems. Final y, we make a comparison between F-ARA and the discernibility matrix-based method by experiments on 13 Univer-sity of California at Irvine （UCI） datasets, and the experimental results prove that F-ARA is efficient and feasible.
基金supported by the Department of Science and Technology of Shandong Province [Grant No.2021SFGC0904-05]Shandong Natural Science Foundation [Grant No.ZR2023MD079]+3 种基金Shandong Province Social Science Planning Research Project [Grant No.22CKRJ04]Taishan Scholar Project [Grant No.tsqn202103010]Zaozhuang Science and Technology Bureau [Grant No.2021GH22]the Key R&D Program of Shandong Province,China [Grant No.2023SFGC0101].
文摘Synergistic carbon emission reduction at the urban scale is an inherent requirement for China to realize its carbon emission reduction commitments and promote sustainable and regional synergistic development.Using 16 prefectural cities in Shandong Province as an example,this study defines and quantifies the regional carbon emission reduction capacity(CERC)based on the synergistic development of carbon emission reduction,environmental protection,and economic growth objectives.The spatial network characteristics of the(CERC)and its drivers were analyzed using social network analysis and quadratic assignment procedure regression methods.The results revealed that the spatial correlation of the CERC among prefectural cities has been increasing over the years.Jinan−Zibo−Qingdao is the center of the network,while the spatial linkage strength in the southwest and northeast of Shandong Province is weak.Geospatial distance and scientific development differences have a significant negative effect on the intensity of spatial association,while differences in economic and informatization developments have a considerable positive impact.Environmental regulatory differences and transportation differences are not significant.This study offers a methodological reference for similar studies in other countries or regions.At the same time,the findings provide a scientific basis for the government to rationally allocate urban resources and promote regional synergistic carbon emission reduction.
基金supported by the National Natural Science Foundation of China (No. 71101007)the National High Technology Research and Development Program of China (No. 2011AA110502)State Key Laboratory of Rail Traffic Control and Safety of Beijing Jiaotong University Program (RCS2010ZZ001)
文摘Energy saving and emission reduction for railway systems should not only be studied from a technical perspective but should also be focused on management and economics. On the basis of relevant trainscheduling models for train operation management, in this paper we introduce an extended multi-objective trainscheduling optimization model considering locomotive assignment and segment emission constraints for energy saving. The objective of setting up this model is to reduce the energy and emission cost as well as total passenger- time. The decision variables include continuous variables such as train arrival and departure time, and binary vari- ables such as locomotive assignment and segment occu- pancy. The constraints are concerned with train movement, trip time, headway, and segment emission, etc. To obtain a non-dominated satisfactory solution on these objectives, a fuzzy multi-objective optimization algorithm is employed to solve the model. Finally, a numerical example is performed and used to compare the proposed model with the existing model. The results show that the proposed model can reduce the energy consumption, meet exhausts emission demands effectively by optimal locomotive assignment, and its solution methodology is effective.
文摘The meaning of the term“reduction”in Double Reduction Policy implores teachers to reflect on their teaching process and improve teaching efficiency.Not only should the quantity be reduced,but so should the behavior.Having a comprehensive understanding of the students’learning process is actually a form of science.Therefore,we need to study and enhance its development[1].In order to reduce the learning burden and increase the efficiency of classroom teaching,we must clearly identify the inefficient and ineffective behaviors in classroom teaching,so as to avoid the following situations:a lack of deep thinking,a lack of ability in lesson preparation,fragmentation of questions and answers,a lack of questions that highlight the key points,anticlimax teaching process,and the habit of running over time in class[2,3].On this basis,this paper elaborates the current education state and clarifies the basic requirements of effective classroom teaching.Meanwhile,to reduce students’workload and increase the efficiency in carrying out assignments,much attention should be paid to optimizing assignment design and refining homework review and feedback.The purpose is to assign homework with an appropriate amount(achievable),precision(targeted),and suitability(personalized).Putting an end to the repetitious and unified training is not enough to improve the effect.
