Fuzzy Comprehensive Evaluation on the Sustainable Development of Equipment Manufacturing Industry Based on Improved Algorithm

The core of fuzzy comprehensive evaluation is membership degree transformation. But the existing transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The paper eliminated the redundant data in index membership for object classification by defining distinguishable weight, extracted valid values to compute object membership, and applied the new algorithm in fuzzy comprehensive evaluation on the sustainable development of equipment manufacturing industry.