Study on the Social Influence Evaluation of the Urban Old Industrial Zones’ Upgrade Projects Based on Fuzzy Neural Network Method

Nan Jia () and Xing Bi
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Nan Jia: Tianjin University
Xing Bi: Tianjin University

A chapter in Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 2013, pp 695-704 from Springer

Abstract: Abstract To evaluate the social influence of the urban old industrial zones’ upgrade projects, a social influence evaluation index system was constructed in this paper through combining the social influence evaluation index system of other projects and using the questionnaire survey method; through the statistical results of a questionnaire survey, the weights of all indexes of the urban old industrial zones’ upgrade projects were determined and also scored; a fuzzy neural network model was designed for the evaluation on the social influence of the urban old industrial zones’ upgrade, and also the results obtained from the analytic hierarchy process (AHP) were used as samples for training and testing the fuzzy neural network. The results of the study show that it is feasible to evaluate the social influence of the urban old industrial zones’ upgrade using this model.

Keywords: Evaluation; Fuzzy neural network; Old industrial zones; Social influence (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40063-6_69

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DOI: 10.1007/978-3-642-40063-6_69

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