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

文献类型： 外文期刊

第一作者： Chen, Zhifang

作者： Chen, Zhifang;Wu, Xiaolei;Chen, Zhifang;Wang, Jinglei;Sun, Jingsheng;Song, Ni

作者机构：

关键词： fuzzy rough sets;Dempster-Shafer evidential theory;uncertain information;multi-source information fusion;weight coefficient

期刊名称：PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY AND ENVIRONMENTAL SCIENCE 2015

ISSN： 2352-5401

年卷期： 2015 年 31 卷

页码：

收录情况： SCI

摘要： 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.

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