为了使突变模糊评价指数公式不受指标数多少的限制和评价指数值的分级标准不随指标的不同和指标数的不同而变化,通过适当设定海水各项指标的参照值及指标值的规范变换式,使海水不同指标的同级标准的规范值差异较小,从而用规范值表示的不同指标皆"等效"于某个规范指标,因此,只需构建海水水质评价的尖点突变和燕尾突变2种突变模糊模型。任意多项指标的海水水质评价可以分解为若干个尖点突变和(或)燕尾突变2种突变模糊评价模型的组合表示。将基于指标规范值的突变模糊指数公式应用于珠江口及青岛某海区的海水水质评价,并将评价结果与BP网络及模糊综合评价法评价结果进行了比较。结果表明,突变模糊指数公式的评价结果与其他方法的评价结果基本一致。与传统的其他评价方法相比,基于指标规范值的突变模糊指数公式具有通用性、普适性和简便性的特点。
This study aims to set up two index formulae of fuzzy catastrophe used for seawater quality evaluation, which is not subject to the limitations of the number of indictors, and to set up grading standards on index values, which do not vary with the changes of index and index numbers. With properly setting the reference values and transforming forms for each seawater index, the difference in the same grade standard value with different indexes of seawater could be weakened, so the different indexes with normalized values were equivalent to a certain normalized index. Therefore, only two fuzzy catastrophe models of cusp catastrophe and swallowtail catastrophe were needed to build for seawater quality evaluation. Seawater quality evaluation for any indexes can be represented with multi-composition models of cusp catastrophe and (or) swallowtail catastrophe. Indexes formula of seawater quality evaluation with normalized index values based on catastrophe fuzzy applied to seawater quality evaluation of Pearl River Estuary and Qingdao sea area, and the results compared with BP artificial neural network and fuzzy comprehensive evaluation showed that the results are basically the same. Comparing with other traditional evaluation methods, indexes formula of fuzzy catastrophe based on normalized index values exhibit characteristics of universality and simplicity.