Fuzzy Logic: adding natural uncertainties into environmental assessment

نویسندگان

چکیده

This research study sought to evaluate aimed at evaluating the possible advantages of using Fuzzy Logic as opposed Boolean assess environmental contamination and source appraisal for polycyclic aromatic hydrocarbons (PAH). Results obtained through traditional assessment tools two different tropical coastal areas clustering principal components analysis were compared with those derived from Logic, by C-means algorithm. The feedings achieved showed a greater qualitative detail than tools. abrupt unnatural changes usual classification methods avoided having membership values varying continuously in space, providing more accurate picture complex multiple sources environments. Furthermore, not depending on statistic suppositions distribution data like other methods, becomes suitable data. Although does produce quantitative interpretations, its application generates adequate needed avoid management bias inference sources.

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ژورنال

عنوان ژورنال: Ocean and Coastal Research

سال: 2022

ISSN: ['2675-2824']

DOI: https://doi.org/10.1590/2675-2824070.21080lg