Decision-making information support methodology for protective measures implementation in the AIC

Abstract

Abstract The article describes the methodology of decision-making information support for protective measures implementation in the agro-industrial complex (AIC). The aim is to determine the rational area of treated land plots for protective measures implementation as components of cultivated crop area-based industrial technology. The methodology is based on the method of analytic hierarchy process (AHP) constructing and analyzing of multicriteria decision-making task solving in the selection of a rational land plot area for protection treatment. The following selection criteria are used: land plots route survey results giving the information about crops diseases throughout the area under study; affected plant damage degree; diseases harmfulness; environmental conditions (air temperature, precipitation (humidity)); probable losses. A hierarchical estimation of the used criteria importance is obtained, and an information model is formed. The model made it possible to establish a rational land plot option recommended for treatment. The novelty of the proposed methodology for solving the task is the following: the rationale for information technology (IT) application for a new class of tasks dealt with by the AIC and the technology practical focus on environmental friendliness ensuring and resources saving; on the basis of the methodology, the scientifically-based method, that does not require the involvement of a large number of experts, is used; the software implementation of the methodology on a PC does not impose special requirements for computing resources.