NDLI: Capabilities-based force aggregation using random sets

Content Provider	IEEE Xplore Digital Library
Author	Svenson, P.
Copyright Year	2005
Description	Author affiliation: Dept. of Data & Inf. Fusion, Swedish Defense Res. Agency, Stockholm, Sweden (Svenson, P.)
Abstract	Force aggregation is one of the most important functionalities of a situation analysis system. In order to reduce the amount of information displayed for an analyst, it is vitally important to cluster information that belongs together and display the aggregated information for the cluster instead of all the original objects. In order to do this, two different kinds of algorithms are necessary. First, we must have a method for grouping objects that belong together. This problem is often referred to as clustering or association; it is a variant of the NP-complete graph coloring problem. Second, a group of objects that belong together must be classified. There have been some methods proposed for doing this. All of the present alternatives for aggregation rely on doctrinal information. However, in the new kind of situations that face us, it is increasingly likely that we will meet organizations that do not follow a strict doctrine in their organization. Instead, they will use task-forces or ad-hoc forces that are organized to solve a specific objective. Here, we present formalism for doing classification of task-forces based on less amount of doctrinal knowledge. The kind of doctrinal knowledge required by the approach suggested here is similar to the one needed to put together task-forces for solving a specific mission, i.e., it is capabilities oriented. Using random set theory, we describe several different ways of force aggregation and present results from experiments performed with them. User interaction could be used to further enhance the method presented here.
File Size	2671333
File Format	PDF
ISBN	0780392868
DOI	10.1109/ICIF.2005.1591950
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Information analysis Clustering algorithms Intelligent sensors Set theory Humans Force sensors Mathematics Computer simulation Computer displays Law
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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