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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/25129

Title: Soldier system assessment under uncertainty with evidential reasoning
Authors: Shan, Yixing
Yang, Lili
Kalawsky, Roy S.
Keywords: Soldier system
Optimization
Uncertainty
Evidential reasoning (ER)
Issue Date: 2012
Publisher: © International Association for Development of the Information Society
Citation: SHAN, Y., YANG, L. and KALAWSKY, R.S., 2012. Soldier system assessment under uncertainty with evidential reasoning. International Journal on Computer Science and Information Systems, 6(3), pp. 17-37.
Abstract: Along with the increasing of new equipment based capabilities, the physiological burden on the dismounted soldier keeps on growing, which leads to the limitation in the quantity and types of missions that can be carried out. In this research, a methodology is developed to solve the burden problem from the system assessment point of view. Comparing with other relevant research, the new methodology not only provides quantitative performance estimate of the soldier with the capability of handling fragmentary and incomplete data with hybrid format in nature (qualitative and quantitative), but also restrains the assessment complexity to an acceptable level.
Description: This paper is reproduced with kind permission of the publisher.
Version: Published
URI: https://dspace.lboro.ac.uk/2134/25129
Publisher Link: http://www.iadisportal.org/ijcsis/vol6_numb3.html
ISSN: 1646-3692
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)
Published Articles (Business School)

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