Evaluation of Clean Coal Technologies in China: Based on Rough Set Theory

Abstract

It is undeniable that coal is still the main resource for production and consumption in China and will likely remain so in the coming decades. This paper proposes a new method based on rough set theory to effectively evaluate clean coal technology (CCT). Firstly a rough-set information system is built after the filtration of CCT evaluation indexes, and then we discuss the calculations of the weight of every index and evaluation result for each technology. This new method reduces the correlation among different attributes, which makes the results more precise. This data collection approach improves reliability and rationality of evaluation. The results highlight advantages and defects in each technology. This will guide entrepreneurs and scholars to improve Chinese CCT.

Hybrid Rough Set and Data Envelopment Analysis Approach to Technology Prioritisation

“…Ciflikli and Kahya-Ozyirmidokuz (2012) documented the successful reduction in the number of variables considered in the quality control in production. Similarly, to eliminate correlations between attributes and increase data precision, RS concepts were used by Wang, Jia, and Wang (2015) in assessing the efficiency of coal technologies. Sharma, Dua, Singh, Kumar, and Prakash (2018) used Fuzzy Rough Sets in eliminating the problem of data imprecision and improving the efficiency of real-time calculations in energy management systems.…”