Evaluating clean energy alternatives for Jiangsu, China: An improved multi-criteria decision making method

Ling Zhang*, Peng Zhou, Sidney Newton, Jian xin Fang, De qun Zhou, Lu ping Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

82 Citations (Scopus)


Promoting the utilization of clean energy has been identified as one potential solution to addressing environmental pollution and achieving sustainable development in many countries around the world. Evaluating clean energy alternatives includes a requirement to balance multiple conflict criteria, including technology, environment, economy and society, all of which are incommensurate and interdependent. Traditional MCDM (multi-criteria decision making) methods, such as the weighted average method, often fail to aggregate such criteria consistently. In this paper, an improved MCDM method based on fuzzy measure and integral is developed and applied to evaluate four primary clean energy options for Jiangsu Province, China. The results confirm that the preferred clean energy option for Jiangsu is solar photovoltaic, followed by wind, biomass and finally nuclear. A sensitivity analysis is also conducted to evaluate the values of clean energy resources for Jiangsu. The ordered weighted average method is also applied to compare the method mentioned above in our empirical study. The results show that the improved MCDM method provides higher discrimination between alternative clean energy alternatives.

Original languageEnglish
Pages (from-to)953-964
Number of pages12
Publication statusPublished - 1 Oct 2015
Externally publishedYes


  • Choquet integral
  • Clean energy
  • Fuzzy measure
  • MCDM (multi-criteria decision making)


Dive into the research topics of 'Evaluating clean energy alternatives for Jiangsu, China: An improved multi-criteria decision making method'. Together they form a unique fingerprint.

Cite this