Developing an intelligent information and consulting service for the agro-industrial sector

   The introduction of advanced information technologies in agriculture is facilitated by the effective organization of information and advisory services for agricultural producers. To optimize the location of information and consulting points in the region under conditions of uncertain information about the activities of agricultural producers, the authors have developed a mathematical model of the location of information and consulting pointsin the form of a fuzzy oriented graph. For this graph, all fuzzy sets with the highest degree of external stability are found and the minimal sets are selected from them. To minimize the fuzzy set, the logical rules of fuzzy absorption of elements of the set are used. These minimal sets determine the optimal placement of points that provide the maximum possible coverage of the area. To justify the developed method, the authors present an example of determining the territorial structure of the agro-industrial consulting points in the Tver region. The resulting solution presents a network of five information points providing a degree of service to the region of 0.9 under conditions of uncertain information about connections between points. The proposed method can be used not only in agriculture, but also in other areas where the task is to optimize the location of public service points and the provision of services. These can be repair shops, medical service points, network marketing facilities or mobile communication stations.

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