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In the recent years, the scope of environmental studies has expanded dramatically all over the world. This paper aims to build a system based on fuzzy models that can be implemented in the assessment of ecological systems, to determine appropriate methods of action for reducing adverse effects on environmental and implicit the population. It is noted that this subject of research represent a high interest current in the world. In situations difficult to approach methods with modeling conventional, are proposed as a reliable alternative pathways to fuzzy logic-based modeling. Information systems may determine, based on data supplied by the beneficiary (government agencies, local authorities, economic agents), appropriate methods of action for reducing adverse effects on industry, agriculture, forestry, water management and human settlements. Fuzzy algorithms in this field is new, and presume definition, clear delimitation and the analysis of the system which performing the tasks specified. [ABSTRACT FROM AUTHOR]