Weight Calculation and Index Ranking Study of MADM Based on AHP Optimized by Topsis
Authors
Ran Chen, Guangyao Lian, Shuai Shao, Huijie Li, Xingru Li
Corresponding Author
Ran Chen
Available Online April 2016.
- DOI
- 10.2991/ameii-16.2016.137How to use a DOI?
- Keywords
- multiple attribute decision making (MADM),Analytic Hierarchy Process, Topsis, Index ranking, Weight calculation
- Abstract
A analytic hierarchy process optimized by topsis was presented aiming at the disadvantages that there are inconsistency and too much subjectivity in the existing multiple attribute decision making(MADM) methods when dealing with the weight calculation and index ranking problems. This method utilizes topsis for index ranking at first, then the weight calculating could according to the ranking results and expert system by the utilize of analytic hierarchy process. Case study indicates that the above method could efficiently weaken the subjectivity, strengthen the consistency of the analytic hierarchy process, and which is easy to be utilized in engineering tests.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ran Chen AU - Guangyao Lian AU - Shuai Shao AU - Huijie Li AU - Xingru Li PY - 2016/04 DA - 2016/04 TI - Weight Calculation and Index Ranking Study of MADM Based on AHP Optimized by Topsis BT - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016) PB - Atlantis Press SP - 698 EP - 703 SN - 2352-5401 UR - https://doi.org/10.2991/ameii-16.2016.137 DO - 10.2991/ameii-16.2016.137 ID - Chen2016/04 ER -