Irrigation Decision-making Methods Based on Multi-source Irrigation Information Fusion

Abstract

According to the problem that uncertainty information is difficult to be merged during the decision process of multi-source irrigation information, a fusion method based on fuzzy rough sets and D-S evidence theory was proposed. Using the fuzzy rough set theory, the basic probability assignment function (BPAF) was established, the interdependence between irrigation factors and irrigation decision was calculated, and the frame of discernment was built. Using the improved Dempster-Shafer (D-S) evidence theory, the multi-source irrigation information was fused at the decision-making level, the expression and synthesis problems of uncertain information were solved. The information of cotton, such as CWSI, soil moisture, and stomatal conductance, were fused in irrigation decision. The results showed that the uncertainty of the irrigation decision decreases from 39.0% before fusion to 6.57%. The method could effectively improve the accuracy and reduce the uncertainty of irrigation decision making.