MATEC Web of Conferences
Volume 31, 20152015 7th International Conference on Mechanical and Electronics Engineering (ICMEE 2015)
|Number of page(s)||4|
|Section||Mechanical design manufacturing and automation|
|Published online||23 November 2015|
Green Degree Comprehensive Evaluation of Elevator Based on Fuzzy Analytic Hierarchy Process
1 Lizhen, graduate student, College of mechanical and electrical engineering, Shandong JianZhu University, Jinan 250101, China
2 Zhangruijun, Professor, College of mechanical and electrical engineering, Shandong Jianzhu University, Jinan 250101, China
3 WangChen, graduate student, College of mechanical and electrical engineering, Shandong JianZhu University, Jinan 250101, China
Corresponding author: Lizhen. email@example.com
The green design of the elevator has many characteristics which contains many factors and the combination of qualitative and quantitative. In view of the fuzzy problem of evaluation index information, fuzzy analytic hierarchy process and fuzzy comprehensive evaluation model are combined to evaluate the green degree of elevator. In this method, the weights of the indexes are calculated by using the fuzzy analytic hierarchy process and the fuzzy analytic hierarchy process is used to calculate the weights of each level. The feasibility will be defined of using green degree evaluation of elevator system as an example to verify the method.
Key words: Fuzzy analytic hierarchy process / elevator / Index system / Green Degree
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.