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-  2017 

STANDARD SETTING FOR POLLUTION INDICATORS OF SURFACE AND UNDERGROUND WATERS BY APPLYING ALGHORITMS OF FUZZY LOGIC

DOI: 10.21857/m8vqrt03r9

Keywords: hybrid model, pollution indicators, standards, uncertainty, fuzzy logic, linguistic variables, alghoritm

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Abstract:

Sa?etak Fuzzy logic is mathematical and logical apparatus developed for adequate uncertainty description in natural, social and technical disciplines. Under notion of uncertainty statistical uncertainty as imprecision of measurement and monitoring but even in definition of event properties are meant. Fuzzy logic describes uncertainty in the way which could be compared with statistical (probability) description but in increasing number of cases it overcomes it. Research for its application is therefore recognized as logical step in standard setting for pollution indicators for emission monitoring as well as state of environment under pollution pressure, especially for the water environment where probability monitoring is already developed. Primarily, this work gives remark on possibility of applying fuzzy logic in monitoring and control pollution indicators that should be based on developing of fuzzy standards, developing general alghoritms for the purpose. In number of literature application of fuzzy logic is described and it is used here for development of apparatus needed. The aspect of the broader approach, understanding of such standards by the general public involved in, is also not neglected

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