劉炳勝(重慶大學公共管理學院院長)

劉炳勝(重慶大學公共管理學院院長)

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劉炳勝,男,重慶大學公共管理學院教授、院長,中國建築業協會青年委員。

基本介紹

  • 中文名:劉炳勝
  • 國籍:中國
  • 出生日期:1979.03.29
  • 畢業院校天津大學
  • 學位/學歷:博士
  • 職務:重慶大學公共管理學院院長
  • 主要成就:2017年度國家自然科學基金青年基金獲得者 
  • 性別:男
  • 職稱:教授 
  • 代表論文數量:41(截至2019年7月) 
人物經歷,教育背景,工作經歷,學術兼職,研究方向,獲獎經歷,科研項目,學術成果,

人物經歷

教育背景

2006.09-2009.06 天津大學工程管理系博士
2003.09-2006.06 河北工業大學技術經濟及管理系碩士
1998.09-2003.06 河北工業大學機械製造系學士

工作經歷

2018.05-今重慶大學公共管理學院院長
2017.09-2018.05天津大學教授
2014.06-2017.09天津大學副教授
2014.04-2015.04美國Rutgers University博士後
2014.01-2014.04香港理工大學土木與環境學院訪問學者
2013.06-2014.06天津大學講師
2010.12-2012.12中南大學商學院博士後
2009.12-2013.03河海大學商學院講師

學術兼職

2015.12-2016.12中國建築業協會管理現代化專業委員會理事
2016.01-2019.01天津市仲裁委員會仲裁員
2016.06-2017.09中國建築學會工程管理研究分會青年委員

研究方向

社會治理、可持續建設管理與政策、資源環境管理

獲獎經歷

2010.08關柯基金會優秀博士論文獎
2017.04建築與房地產管理國際會議最佳論文獎
2016.06全國BIM大賽優秀指導教師獎
2014.12中水電聖達公司水電站年度最佳科研工作者

科研項目

2018.01-2020.12國家自然科學基金優秀青年基金項目,重大公共建設項目決策與治理,主持
2016.01-2019.12國家自然科學基金面上項目,公眾參與下重大工程動態互動群體決策機制研究,主持
2012.01-2014.12國家自然科學基金青年項目,面向公眾參與的重大民生水利工程複雜模糊多屬性大群體決策系統與模型研究,主持
2010.01-2015.12國家自然科學基金創新群體基金,複雜環境下不確定性決策的理論與套用研究,參加
2016.01-2019.12國家自然科學基金面上項目,基於人因可靠度分析的工程設計與施工不安全行為關在線上理研究,參加
2015.04-2016.02天津市重點調研課題,天津市萬企轉型相關支持政策實施效果評價,主持
2017.01-2020.12天津大學北洋學者人才計畫基金項目,重大公共建設項目決策與治理,主持
2015.01-2016.12教育部哲學社會科學後資助項目,中國建築產業發展內在運行機理與轉型升級研究,主持
2016.01-2017.12企業諮詢項目,夾岩水利樞紐及黔西北供水工程移民征地補償機制最佳化研究,主持
2011.02-2015.12企業諮詢項目,面向全生命周期的大渡河安谷水電站精益建造管理模式研究,主持
2016.01-2017.12企業諮詢項目,新藥研發項目決策機制研究,參加
2015.02-2017.12寧波住房和城鄉建設委員會項目,寧波舊城改造公眾參與決策機制最佳化研究,主持
2015.01-2017.12國家自然科學基金青年基金,全生命周期視角下城鎮化基礎設施可持續性動態評價機制研究,參加
2015.01-2016.12天津大學本科教學綜合改革項目,基於MOOC仿真互動系統開發的經管類本科課程教學方式改進:以國際工程契約管理為例,主持
2011.06-2012.12中國博士後基金項目,公眾參與模式下重大公共投資項目多階段模糊多屬性大群體決策模型研究,主持
2011.01-2013.12中南大學博士後基金,複雜模糊多屬性大群體決策模型研究,主持

學術成果

代表性著作與論文:
1.劉炳勝,王安民等,複雜模糊多屬性大群體決策模型與算法研究,天津大學出版社,2017
2.孫炯、劉炳勝等,四川省大渡河安谷水電站精益製造管理,中國水利水電出版社,2016
3. Liu, B., Shen, Y., Chen, X., Chen, Y., & Wang, X. (2014). A partial binary tree DEA-DA cyclic classification model for decision makers in complex multi-attribute large-group interval-valued intuitionistic fuzzy decision-making problems. Information Fusion, 18, 119-130.
4. Liu, B., Shen, Y., Chen, Y., Chen, X., & Wang, Y. (2015). A two-layer weight determination method for complex multi-attribute large-group decision-making experts in a linguistic environment. Information Fusion, 23, 156-165.
5. Liu, B., Shen, Y., Zhang, W., Chen, X., & Wang, X. (2015). An interval-valued intuitionistic fuzzy principal component analysis model-based method for complex multi-attribute large-group decision-making. European Journal of Operational Research. ( DOI: 10.1016/j.ejor.2015.02.025)
6. Liu, B., Yang, X., Huo, T., Shen, G. Q., & Wang, X. (2017). A linguistic group decision-making framework for bid evaluation in mega public projects considering carbon dioxide emissions reduction. Journal of Cleaner Production, 148, 811-825.
7. Liu, B., Fu, M.., Xue B., Zhou Q.,& Zhang S. (2018). An interval-valued 2-tuple linguistic group decision-making model based on the Choquet integral operator, International Journal of Systems Science, 49:2, 407-424.
8. Liu, B., Shen, Y., Chen, X., Sun, H., & Chen, Y. (2014). A complex multi-attribute large-group PLS decision-making method in the interval-valued intuitionistic fuzzy environment. Applied Mathematical Modelling, 38(17), 4512-4527.
9. Liu, B., Chen, Y., Shen, Y., Sun, H., & Xu, X. (2014). A complex multi-attribute large-group decision making method based on the interval-valued intuitionistic fuzzy principal component analysis model. Soft Computing, 18(11), 2149-2160.
10. Liu, B., Huo, T., Shen, Q., Yang, Z., Meng, J., & Xue, B. (2014). Which owner characteristics are key factors affecting project delivery system decision making? Empirical analysis based on the rough set theory. Journal of Management in Engineering. (DOI: 10.1061/ (ASCE) ME.1943-5479.0000298)
11. Liu, B., Huo, T., Meng, J., Gong, J., Shen, Q., & Sun, T. (2016). Identification of key contractor characteristic factors that affect project success under different project delivery systems: empirical analysis based on a group of data from china. Journal of Management in Engineering, 32(1), 05015003.
12. Liu, B., Huo, T., Liao, P., Gong, J., & Xue, B. (2014). A group decision-making aggregation model for contractor selection in large scale construction projects based on two-stage partial least squares (PLS) path modeling. Group Decision and Negotiation. (DOI: 10.1007/s10726-014-9418-2).
13. Liu, B., Huo, T., Wang, X., Shen, Q., & Chen, Y. (2013). The decision model of the intuitionistic fuzzy group bid evaluation for urban infrastructure projects considering social costs. Canadian Journal of Civil Engineering, 40(3), 263-273.
14. Liu, B., Huo, T., Liao, P. C., Yuan, J., Sun, J., & Hu, X. (2017). Special partial least squares (pls) path decision modeling for bid evaluation of large construction projects. KSCE Journal of Civil Engineering, 1-14.
15. Chen, Y., Liu, B.*, Shen, Y., & Wang, X. (2016). The energy efficiency of china’s regional construction industry based on the three-stage dea model and the dea-da model. KSCE Journal of Civil Engineering, 20(1), 34-47.
16. Liu, B., Chen, Y., Wang, R., Shen, Y., & Shen, Q. (2016). Different interaction mechanisms of market structure in the construction industry tfp from the spatial perspective: a case study in china. KSCE Journal of Civil Engineering, 20(1), 23-33.
17. Liu, B., Chen, X., Wang, X., & Chen, Y. (2014). Development potential of Chinese construction industry in the new century based on regional difference and spatial convergence analysis. KSCE Journal of Civil Engineering, 18(1), 11-18.
18. Liu, B., Wang, X., Chen, C., & Ma, Z. (2014). Research into the dynamic development trend of the competitiveness of China’s regional construction industry. KSCE Journal of Civil Engineering, 18(1), 1-10.
19. Liu, B., Wang, X., Chen, C., & Ma, Z. (2014). Erratum to: research into the dynamic development trend of the competitiveness of china’s regional construction industry. KSCE Journal of Civil Engineering, 18(2), 731-733.
20. Liu, B., Guo, S., Yan, K., Li, L., & Wang, X. (2017). Double weight determination method for experts of complex multi-attribute large-group decision-making in interval-valued intuitionistic fuzzy environment. Journal of Systems Engineering and Electronics , 28(1), 88-96.
21. Liu, B., Shen, Y., Mu, L., Chen, X., & Chen, L. (2016). A new correlation measure of the intuitionistic fuzzy sets. Journal of Intelligent & Fuzzy Systems, 30(2), 1019-1028.
22. Liu, B., Huo, T., Liang, Y., Sun, Y., & Hu, X. (2016). Key factors of project characteristics affecting project delivery system decision making in the chinese construction industry: case study using chinese data based on rough set theory. Journal of Professional Issues in Engineering Education & Practice, 142(4), 05016003.
23. Liu, B., Wang, X., Chen, Y., & Shen, Y. (2013). Market structure of China’s construction industry based on the Panzar–Rosse model. Construction Management and Economics, 31(7), 731-745.
24. Liu, B., & Xue, B. (2015). Analysis of the three-dimensional system of industry linkages with spatial difference for the chinese regional construction industry. Journal of Chongqing University, 21(1), 16-22.
25. Liu, B., Chen, X., Wang, X., & Chen, Y. (2013). Analysis on the changing trend and influencing factors of TFP about the regional construction industry in china. Systems Engineering-Theory & Practice, 33(4), 1041-1049.
26. Liu, B., Wang, X., & Cao, L. (2010). Simulation study on dynamic formation mechanism about competitiveness of china's construction industry based on the combination of sem and sd. Systems Engineering-Theory & Practice.
27. Liu B., Hu Y., Wang A., Yu Z., Yu J., Wu X. (2018). Critical Factors of Effective Public Participation in Sustainable Energy Projects. Journal of Management in Engineering. (錄用)
28. Liu B., Li Y., Xue B., Li Q., & Li L. (2018) Why Do People Engage in Collective Actions against Major Construction Projects?—An empirical analysis based on Chinese data. International Journal of Project Management. (錄用)
29.劉炳勝,薛斌.中國區域建築業的產業關聯空間差異性三維系統分析[J].重慶大學學報(社會科學版), 2015, 21(1):16-22.
30.劉炳勝,陳曉紅,王雪青,等.中國區域建築產業生產效率變動的差異與空間趨同研究[J].科研管理, 2015, V36(11):148-154.
31.劉炳勝,王雪青,陳媛,等.中國建築產業市場結構演進趨勢三維系統分析[J].重慶大學學報(社會科學版), 2014, 20(2):46-52.
32.劉炳勝,陳曉紅,王雪青,等.中國區域建築產業TFP變化趨勢與影響因素分析[J].系統工程理論與實踐, 2013, 33(4):1041-1049.
33.劉炳勝,王雪青,陳曉紅,等.空間維視角下中國建築產業競爭力形成機理差異化研究[J].系統工程理論與實踐, 2013, 33(5):1351-1360.
34.劉炳勝,霍騰飛,王雪青,等.帶有SEM約束錐的DEA模型及在建築業效率中的套用[J].北京理工大學學報, 2012, 32(8):99-104.
35.劉炳勝,申映華,王雪青,等.基於組合模型的中國區域建築產業競爭力系統評價[J].同濟大學學報(自然科學版), 2012, 40(5):800-806.
36.劉炳勝,王雪青,李冰.中國建築產業競爭力形成機理分析——基於PLS結構方程模型的實證研究[J].數理統計與管理, 2011, 30(1):12-22.
37.劉炳勝,王雪青,李冰,等.基於主成分分析與DEA-DA組合的中國區域建築產業競爭優勢系統評價[J].土木工程學報, 2011(2):143-150.
38.劉炳勝,王雪青,曹琳劍.基於SEM與SD組合的中國建築產業競爭力動態形成機理仿真[J].系統工程理論與實踐, 2010, 30(11):2063-2070.
39.劉炳勝,王雪青,程建剛.競爭力度量的一種新假說——基於結構主義方法論的研究[J].軟科學, 2010, 24(3):117-121.
40.劉炳勝,王雪青,曹琳劍.帶有主成分約束錐的DEA—DA模型設計及套用[J].系統工程, 2009(8):101-105.

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