Abstract

An online evaluation method for carbon performance of coal mines owned by the coal industry group based on combination of subjective and objective weights is proposed. Firstly, the evaluation method for carbon performance of coal mines owned by the coal industry group based on combination of subjective and objective weights is proposed: (1) The index system of carbon performance evaluation of coal mines owned by the coal industry group is constructed. (2) The objective weight of each index is obtained by entropy weight method. (3) The subjective weight of each index is obtained by Delphi method. (4) The comprehensive weight of each index is obtained by weighted average method. (5) The score of each index of each coal mine is obtained by linear interpolation method. (6) The comprehensive evaluation score of each coal mine is obtained by weighted average method. Secondly, taking Sql server as the database management system, ASP and C# as the development language, Dreamweaver and Visual Studio as the development platform, the system of carbon performance evaluation of coal mines owned by the coal industry group based on B/S structure is designed, and the system can realize online evaluation for carbon performance of coal mines. Finally, the application analysis results show that the method can ensure the objectivity of carbon performance evaluation of coal mines, greatly improve the efficiency of evaluation, and realize sharing and comparison of the evaluation results.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.