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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ashok, P. Tesar, D. |
| Copyright Year | 2007 |
| Abstract | Human beings have the capacity to make quick and accurate decisions when multiple objectives are involved provided they have access to all the relevant information. Accurate visual measures/decision surfaces (maps) are critical to the effectiveness of this process. This paper introduces a methodology that allows one to create a visual decision making interface for any multi-input multi-output (MIMO) system. In this case, the MIMO is thought of in the broadest sense to include battlefield operations, complex system design, and human support systems (rehabilitation). Our methodology starts with a Bayesian causal network approach to modeling the MIMO system. Various decision making scenarios in a typical MIMO system are presented. This is then followed by a description of the framework that allows for the presentation of the relevant scenario dependent data to the human decision maker (HDM). This presentation is in the form of 3-D surface plots called decision surfaces. Additional decision making tools (norms) are then presented. These norms allow for single value numbers to be presented along with the decision surfaces to better aid the HDM. We then present some applications of the framework to representative MIMO systems. This methodology easily adapts to systems that grow bigger and also when two or more systems are combined to form a larger system. |
| Sponsorship | IEEE Systems Council |
| Starting Page | 129 |
| Ending Page | 145 |
| Page Count | 17 |
| File Size | 2858733 |
| File Format | |
| ISSN | 19328184 |
| Volume Number | 2 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-03-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Real time systems Decision making MIMO Humans Displays Bayesian methods Graphics Concrete Decision support systems performance maps 3-D visualization decision making decision scenarios decision surface norms decision surfaces large multi-input multi-output (MIMO) systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Control and Systems Engineering Information Systems Electrical and Electronic Engineering Computer Science Applications |
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