1,720,992 research outputs found
Generate two-dimensional belief function based on an improved similarity measure of trapezoidal fuzzy numbers
No full textDempster–Shafer evidence theory plays a significant role in addressing uncertain information in various data fusion application systems. Recently, a new framework to model uncertain and partially reliable information on the basis of Dempster–Shafer evidence theory is put forward, called two-dimensional belief function (TDBF). A TDBF consists of two classical belief functions, T= (mA, mB) , where mB is a measure of reliability of mA. In this paper, an approach for determining TDBF is presented based on the improved similarity measure of fuzzy numbers. The improved similarity measure is more logical, flexible and can obviously improve the effectiveness in classification problem. Compared to the classical belief function, the TDBF can achieve better classification effective. The processes of the determine approach are expounded through a classification problem of Iris data. The validity of the determine approach is further illustrated by the classification of Wheat data
Special section on emerging challenges in computational intelligence for signal processing applications
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Innovation in Electrical Power Engineering, Communication, and Computing Technology Proceedings of IEPCCT 2019
No full textSpecial Issue on Artificial Intelligence Empowered Big Data Analytical Patterns for Medical Applications
No full textGuest Editorial: Smart Measurement in Machine Vision for Challenging Applications
No full textSmart measurements are widely deployed in many applications due to the technology advancement. For various industrial applications, automated inspection and analysis based on the image is provided by machine vision. For the measurements in these applications, sensors must be connected. Machine vision tries to creatively combine already existing technology and use them to address current issues. The term "measurement" is frequently used to refer to many tasks and is the cornerstone of industrial automation and security deployment. This Special Issue of Instrumentation & Measurement Magazine addresses some novel achievements in the measurement and instrumentation science and technology fields. It advances machine vision concerning production, application of smart materials, measurement and estimation techniques, etc. The variety of selected papers reflects the efforts made by the authors to focus either on methodological aspects or technical issues. In particular, three papers have been accepted for publication, reflecting several aspects of the abovementioned fields by covering machine vision and image processing technology
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