NDLI: The combined use of evidence theory and vague sets to interpret multimodal inspection data

Content Provider	IEEE Xplore Digital Library
Author	Bai Hua
Copyright Year	2009
Description	Author affiliation: School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China (Bai Hua)
Abstract	Several measurement modalities have been applied for the safety and reliability evaluation of complex system. A great deal of information can be obtained by multimodal inspection. But different sensors can only capture part of the exterior and interior geometry since the limitations of its involved physical phenomena. So a challenging problem is how to effectively interpret the available multimodal inspection data, especially when the data show vague, uncertain and even conflict information. In this paper, a combined vague sets/ D-S evidence theory approach is proposed to make more reasonable inferences using multi-source information fusion. Since the D-S theory shares the similar form in the fundamental definition of the measure of a proposition to that in the definition of grade membership of an element in vague sets, the relationship between the true-membership function and false-membership function of vague sets and belief/plausibility functions of D-S theory is discussed. Based on the feature of vague sets, the true-membership function and false-membership function are used to describe the belief level of fusion target. Then they are combined by an enhanced combination algorithm based on D-S evidence conventional combination rule. Finally, an example is conducted to demonstrate the effectiveness of the proposed combined vague sets/ D-S evidence theory. According to its firm mathematical foundation, the proposed approach can express and handle uncertain and vague information effectively, and can be applied to fuse any bodies of multimodal inspection data without changing the recursive combination algorithm.
Starting Page	4596
Ending Page	4600
File Size	155951
Page Count	5
File Format	PDF
ISBN	9781424427932
ISSN	1062922X
DOI	10.1109/ICSMC.2009.5346767
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Inspection Fuzzy sets Sensor phenomena and characterization Pipelines Safety Geometry Fuses Cybernetics USA Councils Mechatronics vague sets multimodal inspection data fusion
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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