NDLI: A Decision Assistant Based on Evidential Reasoning

Content Provider	IEEE Xplore Digital Library
Author	Qing-Xiang Wu Bell, D. Guan, J.-W. Khokhar, R. Xi Huang Shao-Chun Zhong
Copyright Year	2006
Description	Author affiliation: Sch. of Phys. & OptoElectron. Technol., Fujian Normal Univ., Fuzhou (Qing-Xiang Wu)
Abstract	The evidence theory provides an important reasoning mechanism in artificial intelligence, and it has been applied to complex systems to handle uncertainty reasoning. Using a set of easy-to-use interfaces, we have designed a desktop decision assistant system based on the evidence theory. Through the easy-to-use interfaces, expert knowledge and opinions or political arguments can be input to the system easily. An incremental evidence combination algorithm is embedded in a reasoning module in the system. Based on the evidential reasoning module, the system can carry out uncertainty reasoning efficiently. Therefore, the system can be applied to enhance human capability to make decisions in daily life, business, or political arguments. As the easy-to-use interfaces are designed, the decision assistant can make decisions in different situations with only a few keyboard clicks. A couple of examples of applications are also demonstrated in this paper
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	1991
Ending Page	1995
File Size	251775
Page Count	5
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.259130
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Application software Artificial intelligence Humans Decision making Bayesian methods Physics Computer science Educational institutions Keyboards uncertainty reasoning Decision Assistant evidential reasoning decision making
Content Type	Text
Resource Type	Article

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