Enhanced Combined Techniques for Interval-Valued Intuitionistic Fuzzy Multiple-Attribute Group Decision-Making and Applications to Quality Evaluation of Large-Scale Multi-View 3D Reconstruction

With the widespread application of computer vision in many fields, quickly and accurately obtaining the three-dimensional information covered by the target object has become a concern in the field of vision research. Large scale multi view Iterative reconstruction refers to obtaining multiple images of the target object through the camera, then obtaining the corresponding relationship between points and spatial mapping relationship between each image through the pixel information on the image, and then obtaining the 3D information of the target object through the relationship between points and space, finally completing the multi view Iterative reconstruction of the target object. Multi view Iterative reconstruction has a wide range of applications, and has very important applications in medical treatment, industrial detection, space technology, etc. Compared with binocular or multi camera stereo vision, monocular stereo vision has obvious advantages in terms of cost, structure and the way to obtain pictures. Multi view Iterative reconstruction of objects can be completed by processing multiple images to achieve the effect of multi camera stereo vision. The quality evaluation of large-scale multi-view 3D reconstruction is the MAGDM. Recently, the TODIM and EDAS technique has been employed to manage MAGDM. The interval-valued intuitionistic fuzzy sets (IVIFSs) are employed as a useful tool for portraying uncertain information during the quality evaluation of large-scale multi-view 3D reconstruction. In this paper, the interval-valued intuitionistic fuzzy TODIM-EDAS (IVIF-TODIM-EDAS) technique is built to manage the MAGDM under IVIFSs. At last, the numerical example for quality evaluation of large-scale multi-view 3D reconstruction is employed to show the IVIF-TODIM-EDAS decision technique. The main contribution of this paper is outlined: (1) the TODIM technique based on EDAS has been extended to IVIFSs based on Entropy technique; (2) the Entropy technique is employed to manage weight based on score values under IVIFSs. (3) the IVIF-TODIM-EDAS technique is founded to manage the MAGDM under IVIFSs; (4) a numerical example for quality evaluation of large-scale multi-view 3D reconstruction and some comparative analysis is supplied to verify the proposed technique.