Uncertainty Evaluation For An Ultrasonic Data Fusion Based Target Differentiation Problem Using Generalized Aggregated Uncertainty Measure 2 - Info and Reading Options

By M. Khodabandeh, A. Mohammad-Shahri

"Uncertainty Evaluation For An Ultrasonic Data Fusion Based Target Differentiation Problem Using Generalized Aggregated Uncertainty Measure 2" and the language of the book is English.

“Uncertainty Evaluation For An Ultrasonic Data Fusion Based Target Differentiation Problem Using Generalized Aggregated Uncertainty Measure 2” Metadata:

Title: ➤ Uncertainty Evaluation For An Ultrasonic Data Fusion Based Target Differentiation Problem Using Generalized Aggregated Uncertainty Measure 2
Author: ➤ M. Khodabandeh, A. Mohammad-Shahri
Language: English

“Uncertainty Evaluation For An Ultrasonic Data Fusion Based Target Differentiation Problem Using Generalized Aggregated Uncertainty Measure 2” Subjects and Themes:

Subjects: DSmT - Target differentiation - Ultrasonic

Edition Identifiers:

Internet Archive ID: ➤ if-uncertainity-evaluation-ultrasonic

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"Uncertainty Evaluation For An Ultrasonic Data Fusion Based Target Differentiation Problem Using Generalized Aggregated Uncertainty Measure 2" Description:

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Abstract The purpose of this paper is uncertainty evaluation in a target differentiation problem. In the problem ultrasonic data fusion is applied using Dezert-Smarandache theory (DSmT). Besides of presenting a scheme to target differentiation using ultrasonic sensors, the paper evaluates DSmT-based fused results in uncertainty point of view. The study obtains pattern of data for targets by a set of two ultrasonic sensors and applies a neural network as target classifier to these data to categorize the data of each sensor. Then the results are fused by DSmT to make final decision. The Generalized Aggregated Uncertainty measure named GAU2, as an extension to the Aggregated Uncertainty (AU), is applied to evaluate DSmT-based fused results. GAU2, rather than AU, is applicable to measure uncertainty in DSmT frameworks and can deal with continuous problems. Therefore, GAU2 is an efficient measure to help decision maker to evaluate more accurate results and smoother decisions are made in final decisions by DSmT in comparison to DST.

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