NDLI: Evidence combination using fuzzy linguistic terms in a dynamic, multisensor environment

Content Provider	IEEE Xplore Digital Library
Author	Hussien, B. Ismael, F. Bender, M.
Copyright Year	1994
Description	Author affiliation: Integrated Syst. Inc., Santa Clara, CA, USA (Hussien, B.; Ismael, F.; Bender, M.)
Abstract	There have been few procedures that effectively manage certainty for real-time multi-sensor environments such as battlefield decision making. In these environments inferences are rarely certain due to: unreliable data, inappropriate inference rules, and indeterminate temporal nature of data. Thus, there is a vital need for an effective certainty management scheme for these real-world applications. This paper presents extensions to our earlier paper (1989) and presents a formalism for computing membership functions as a mechanism for combining evidence. It proposes a "unified" methodology that combines certainties associated with evidence and rules for a given proposition, and systematically propagates these certainties down the (rule-based) decision tree. The methodology takes into account the relative importance of the propositions as well as the rules. The proposed methodology supports both numeric certainty values and linguistic variables that model human cognition. In addition, the methodology supports "confirmation" and "disconfirmation" constructs that are very useful for knowledge engineering.
Starting Page	387
Ending Page	394
File Size	616448
Page Count	8
File Format	PDF
ISBN	0780320727
DOI	10.1109/MFI.1994.398428
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-10-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Uncertainty Decision making Humans Cognition Fuzzy systems Environmental management Real time systems Decision trees Knowledge engineering
Content Type	Text
Resource Type	Article

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