4.2. Comprehensive evaluation method
In FCED, some uncertain problems are determined according to the basic
theory of fuzzy mathematics and the principle of fuzzy relationship. The
evaluation results are more accurate, but the difficulty in weight
determination and the ambiguous statistical interrelationships between
indices also affect the evaluation process.
In CA, according to the principle of “type-clustering”, similar data
are acquired for the purpose of analyzing the inherent characteristics
and laws of things. The analysis process of CA is simple and intuitive,
but it requires a sample size, which increases the difficulty in
obtaining the clustering conclusion.
Through the improvement in basic evaluation methods, many comprehensive
evaluation methods are gradually obtained. These evaluation methods can
avoid excessive subjective influences and improve the accuracy of
results. The analysis process is relatively simple and applicable to
many problems. In the evaluation process of blue-green spaces, it is
necessary to comprehensively consider its ecological background status,
local social and economic conditions, residents’ experiences and
feelings. Index selection and weight determination should be based on
expert consultation and AHP, so the subjective factors affect the
accuracy of evaluation results. Without comparison results, the
rationality of evaluation results cannot be verified. Therefore, the AHP
can be combined with the fuzzy evaluation method or the CA in order to
improve evaluation results. In the future, according to the structures
and functions of evaluation objects, based on the existing evaluation
methods, combined evaluation methods can be used. In addition, more
practical and convenient evaluation methods can be developed.