The Application Study of Park Enterprises Credit Risk Evaluation Based on Euclid Approach Degree of Fuzzy Matter-element Model
Authors
Li Zhou, Bisong Liu, Yan Zhao, Xianghua Li
Corresponding Author
Li Zhou
Available Online May 2018.
- DOI
- 10.2991/ammsa-18.2018.58How to use a DOI?
- Keywords
- credit risk evaluation; fuzzy matter-element model; index weight
- Abstract
Based on the thorough analysis of the internal and external factors which affects the enterprise credit level, the scientific and systematic evaluation index system was established. By adopting the fuzzy matter-element analytical method which especially suits the multi-index and incompatibility issue, the evaluation model was built. The comprehensive integrated weighting method was applied for the determination of the index weight. Meanwhile, the subjective and objective information were considered comprehensively to elaborate the inherent law of the park enterprise credit risk evaluation, which provide practical approach for the park enterprise credit level rating research.
- Copyright
- © 2018, 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 - Li Zhou AU - Bisong Liu AU - Yan Zhao AU - Xianghua Li PY - 2018/05 DA - 2018/05 TI - The Application Study of Park Enterprises Credit Risk Evaluation Based on Euclid Approach Degree of Fuzzy Matter-element Model BT - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018) PB - Atlantis Press SP - 279 EP - 283 SN - 1951-6851 UR - https://doi.org/10.2991/ammsa-18.2018.58 DO - 10.2991/ammsa-18.2018.58 ID - Zhou2018/05 ER -