Abstract

In order to overcome the subjective randomness in traditional fuzzy comprehensive evaluation, the weight value is modified based on the differential degree of evaluation indices, a new model for comprehensive evaluation-entropy weight fuzzy comprehensive evaluation model is established by using the concept of entropy in information engineering science. Then the model is applied to the optimization of engineering machinery. Calculation and result analysis were carried out through a loader case study. Results show that fuzzy comprehensive evaluation based on entropy weight method suits with the optimization of engineering machinery in which factors interact on each other. This method ensures the validity of optimization result by combining the external and subjective evaluation together, so it has upper applied value in practice.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.