The polling system has a considerable role in the democratic nation. The uncertainty of the people’s participation in polling generally affects the electoral-based system. Therefore, PFS (picture fuzzy set) is the furthermost efficient and useful extension of IFS (intuitionistic fuzzy set) in a fuzzy system capable of precisely handling human perception in the decision-making system. The PFS structure involves the different degrees, i.e., membership, nonmembership, neutral, and hesitancy which are comprehensively applied to such types of complex practical problems in the real-life scenario. This advantage of PFS motivates the author to propose PFSs centred novel entropy measure via this communication, which is comparatively more generalized, reliable, and simplified in place of the existing uncertain measures. The practicability of the proposed present research work is to deal with real-world problems pertaining to the relative importance of the attributes. Therefore, certainly, the proposed novel entropy developed a different approach to handle the uncertainty more precisely as a part of the existing approaches. The validation proof of the proposed entropy measure is proved in an organized manner and practically employed in the perspective of the polling data outcomes about the people’s opinions with the VIKOR-TOPSIS approach.
Edge detection is an image processing method used for discover the limitations of objects within the image. It works by sensing incoherence in illumination. Edge detection is used for image segmentation and data extraction in areas such as image processing, computer vision and machine vision. In these four techniques such as Sobel Operator, Robert Operator, Prewitt Operator, and Canny Operator are used for detection of edge detection in which the canny operator is the most effective manner of finding the edge detection using X-rays. The key aim of this task is to sense human minor leg bone fracture from X-Ray imageries. The suggested structure has two steps namely pre-processing segmentation and fracture detection. Canny method produces very effective image. This paper compares the various edge detection techniques for detecting the bone fracture of lower leg bone and finds effective. The performance of the four segmentation techniques are compared based on the execution time and accuracy. The execution speed of Canny operator is 32.5 seconds and accuracy is 88.7%.
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