The Application Study of Park Enterprises Credit Risk Evaluation Based on Euclid Approach Degree of Fuzzy Matter-element Model

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/).

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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  -