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Faculty

Xiangqian Feng Associate Professor

Academic Area: 
Decision Making
Research Interests: 
  • Decision Making
  • Information Fusion
  • Multiple Criterion Decision Making
  • Linguistic Decision Making
Bio: 

Educational Background:

PhD, Management Science and Engineering, Nanjing University of Aeronautics and Astronautics (2004-2008)
MA, Operational Research, Qufu Normal University (2001-2004)

 

Research 

Research Projects:

 

Research on the Countermeasures of college teaching resources sharing based on DEA evaluation model, by Nanjing Normal University (2015-2017)

University Social Sciences Project of Jiangsu Province An empirical study on the information performance of high tech enterprises in Jiangsu province based on the integration of information and industrialization, by Jiangsu Province Department of Education (2013-2016)

University Science Research Project of Jiangsu Province, Fuzzy reliability multi attribute group decision making method, by Jiangsu Province Department of Education (2011-2013)

 

Journal Articles:

 

Tan Qianyun, Cuiping Wei, Liu QI, Feng Xiangqian*. The Hesitant Fuzzy Linguistic TOPSIS Method Based on Novel Information Measures. Asia-Pacific Journal of Operational Research, in press.

Liu QI, Feng Xiangqian*, Zhang Huarong. Multiple attribute decision making of hesitant fuzzy linguistic based on similarity. Statistics & Decision, in press.

Feng Xiangqian*, Tan Qianyun, Qian Gang. Possibility degree methods for ranking hesitant fuzzy linguistic sets. Control and Decision, 2016,31(4): 640-646

Tan Qianyun, Feng Xiangqian*, Zhang Huarong. PROMETHEE Method for Hesitant Fuzzy Linguistic Multiple criteria Based on Possibility Degree. Statistics & Decision, 2016, 9: 82-85.

Feng Xiangqian*, Tan Qianyun, Zhang Huarong. PROMETHEE method for hesitant fuzzy multi-criteria decision making based on possibility degree. Science and Technology Review, 2015, 33(11): 90-93

   Feng Xiangqian*,Qian Xiaohua,Wu Qiang,A DS-AHP approach for multi-attribute decision making problem with intuitionistic fuzzy information,Information Technology Journal,2012,11(12):1764-1769。

 

Contact:

+86 025 85891990

Feng_xq@njnu.edu.cn