IRRIGATION SYSTEM PROBLEM BASED ON Z-INFORMATION

Abstract

In this paper an automatic intelligent irrigation system is considered. Irrigation regimes for agricultural crops provide the determination of scientifically based norms of irrigation, depending on the soil, physiological, climatic and technical characteristics of the irrigated array. In modern irrigation systems, the parameters of irrigation regimes are calculated similarly to traditional methods. But to solve the problem of efficient irrigation, it is necessary to take into account the weak formalizability, which makes it difficult to use accurate mathematical models to describe the control system. The solution of this problem would be partially possible if there were a large number of qualified experts who, taking into account the linguistic nature of the variables, are able, using their experience without constructing any dependencies, to determine the optimal irrigation rates. In the absence to date of such reference experts in intelligent irrigation planning systems, mathematical models based on Soft Computing should come forward. Our model is based on Z-information as an important qualitative attribute of information on which decisions are based is its reliability. The concept of Z-number relates to the issue of reliability of information, especially in the realms of decision analysis. Z-number valuations, take into account the uncertаinty of the experts` opinion in estimаtion of the options. Keywords: Z-numbers, uncertainty, reliability.