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Abstract. Study of fuzzy-deterministic modeling matters of the formation and exploitation of ground water intake processes. The issues of the situational analysis on the basis of fuzzy-deterministic modeling results based on fuzzy parameters formalization of groundwater intake are abstracted. The results of computing experiments on the example of single-layer Geofiltrational systems are presented. Computing experiments are mentioned for the part applied in practice of formation flow sheet and groundwater resources exploitation. Given the acute shortage of water resources in the lease conditions, water represents a major source of potable water supply. Promising in this regard is the development of principles for establishing groundwater is abstracted complex hydrogeological and water conditions. In this paper we study projects withdrawals of groundwater is based on fuzzy-deterministic approach, i.e. on the basis of fuzzy set parameters , initial and boundary conditions geofiltration process. The algorithms of fuzzy parameters formalization of underground hydrosphere, the relationship abstraction of groundwater and its model. The algorithms of decision making in the formation and exploitation of groundwater resources, the principles of information model filtration. Keywords: hydrogeological object, fuzzy-deterministic model, information model, mathematical modeling.Introduction. Mathematical modeling and computing experiment (СE) are one of the important ways to obtain new information about the researching hydrogeological objects (HGOs). However, for most HGOs growing influence of anthropogenic factors on them, which are the causes of data unreliability, the results of the medium parameters measurement, etc. are typical. Uncertainty, ambiguity, indeterminacy, unpredictability of HGOs features behavior and their parameters explain the need for integration of modeling problem solving and decision-making within a single computing system. Thereupon, in this article aspects of fuzzy-set approach application for modeling the relationship process between HGO and its fuzzy-deterministic model are considered.

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