Real world applications are dealing now with a huge amount of data,especially in the area of high dimensional features.In this article,we depict the simplyupper,the simplylower continuous,we get several characteristic...Real world applications are dealing now with a huge amount of data,especially in the area of high dimensional features.In this article,we depict the simplyupper,the simplylower continuous,we get several characteristics and other properties with respect to upper and lower simply-continuous soft multifunctions.We also investigate the relationship between soft-continuous,simply-continuous multifunction.We also implement fuzzy soft multifunction between fuzzy soft topological spaces which is Akdag’s generation of the notion.We are introducing a new class of soft open sets,namely soft simplyopen set deduce from soft topology,and we are using it to implement the new approximation space called soft multi-function approach space.Simplyspace for approximation based on a simplyopen set.The world must adopt modern studies in order to confront epidemics.Accordingly,we presented a new decision proposal in this article,compared our proposed approach to the soft relationship introduced by approximation of Xueyou,and concluded that our approach is better.We also used our proposal in the medical application that was studied in this paper.展开更多
[Objective] To extract desertification information of Hulun Buir region based on MODIS image data. [Method] Based on MODIS image data with the spatial res- olution of 1 km, 5 indicators which could reflect different d...[Objective] To extract desertification information of Hulun Buir region based on MODIS image data. [Method] Based on MODIS image data with the spatial res- olution of 1 km, 5 indicators which could reflect different desertification features were selected to conduct inversion. The desertification information of Hulun Buir region was extracted by decision tree classification. [Result] The desertification area of Hu- lun Buir region is 33 862 km2, accounting for 24% of the total area, and it is mainly dominated by sandiness desertification. Though field verification and mining point validation of high-resolution interpretation data, the overall accuracy of this evaluation is above 89%. [Conclusion] Evaluation method used in this study is not only effectively for large scale regional desertification monitoring but also has a better evaluation performance.展开更多
基金This research received funding from Taif University,Researchers Supporting and Project number(TURSP-2020/207),Taif University,Taif,Saudi Arabia.
文摘Real world applications are dealing now with a huge amount of data,especially in the area of high dimensional features.In this article,we depict the simplyupper,the simplylower continuous,we get several characteristics and other properties with respect to upper and lower simply-continuous soft multifunctions.We also investigate the relationship between soft-continuous,simply-continuous multifunction.We also implement fuzzy soft multifunction between fuzzy soft topological spaces which is Akdag’s generation of the notion.We are introducing a new class of soft open sets,namely soft simplyopen set deduce from soft topology,and we are using it to implement the new approximation space called soft multi-function approach space.Simplyspace for approximation based on a simplyopen set.The world must adopt modern studies in order to confront epidemics.Accordingly,we presented a new decision proposal in this article,compared our proposed approach to the soft relationship introduced by approximation of Xueyou,and concluded that our approach is better.We also used our proposal in the medical application that was studied in this paper.
基金Supported by the Special Fundation of China Geological Survey(1212010911084)~~
文摘[Objective] To extract desertification information of Hulun Buir region based on MODIS image data. [Method] Based on MODIS image data with the spatial res- olution of 1 km, 5 indicators which could reflect different desertification features were selected to conduct inversion. The desertification information of Hulun Buir region was extracted by decision tree classification. [Result] The desertification area of Hu- lun Buir region is 33 862 km2, accounting for 24% of the total area, and it is mainly dominated by sandiness desertification. Though field verification and mining point validation of high-resolution interpretation data, the overall accuracy of this evaluation is above 89%. [Conclusion] Evaluation method used in this study is not only effectively for large scale regional desertification monitoring but also has a better evaluation performance.
