A Combination Method of Improved Grey Relational Degree and AHP for Effectiveness Evaluation
- DOI
- 10.2991/icmit-16.2016.49How to use a DOI?
- Keywords
- Delphi method; AHP; Combination weighting approach; Gray relational degree; Effectiveness evaluation
- Abstract
Aiming at the shortcoming that the calculation of the gray relational coefficient is influenced by the number of schemes and distinguishing coefficient, which causes inconsistency of the evaluation results in the traditional gray relational degree, an effectiveness evaluation method is proposed, which is based on the combination of the improved grey relational degree and the analytic hierarchy process (AHP). It uses Delphi method and AHP to establish the scientific and reasonable index system of complex systems; the combination weighting method that AHP combined with entropy method is used to determine the weights, weights can meet the subjective and objective view of demand, which makes the effectiveness evaluation results more reasonable; the compositor results are not affected by the number of schemes and distinguishing coefficient, which overcomes the shortcoming of the traditional grey relational degree. The model of the improved effectiveness evaluation method is established, and the concrete steps of the improved method are given. Three methods were used to analyze the example, the results show that the improved method is reasonable and feasible.
- 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 - Guo-Qing Huang AU - Wei-Bin Zhao AU - Shi-Hong Xu PY - 2016/04 DA - 2016/04 TI - A Combination Method of Improved Grey Relational Degree and AHP for Effectiveness Evaluation BT - Proceedings of the 2016 3rd International Conference on Mechatronics and Information Technology PB - Atlantis Press SP - 280 EP - 286 SN - 2352-538X UR - https://doi.org/10.2991/icmit-16.2016.49 DO - 10.2991/icmit-16.2016.49 ID - Huang2016/04 ER -