Weight Calculation and Index Ranking Study of MADM Based on AHP Optimized by Topsis

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/).

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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  -