Abstract
In view of the characteristics of evaluation such as subjectivity and fuzziness, the method for evaluation was studied and an improved fuzzy synthetically evaluation model (IFSE) was presented. The model processes evaluation results from the dual aspect, the credibility of appraiser’s evaluation and the data integration. Firstly, by establishing the relationship ontology, it estimated the credibility of appraiser’s evaluation. Then, this credibility was introduced into the fuzzy synthetically evaluation. This way could remove the unreasonableness and fuzziness as far as possible. Finally, the feasibility of this model was illustrated by a case.
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© 2011 Springer-Verlag Berlin Heidelberg
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Lu, DX., Weng, WY., Su, J., Wang, ZB., Yang, XJ. (2011). An Improved Fuzzy Synthetically Evaluation. In: Wu, Y. (eds) High Performance Networking, Computing, and Communication Systems. ICHCC 2011. Communications in Computer and Information Science, vol 163. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25002-6_30
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DOI: https://doi.org/10.1007/978-3-642-25002-6_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25001-9
Online ISBN: 978-3-642-25002-6
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