An automated spatial decision support system for the relocation of Army Reserve Units - Info and Reading Options
By Mark A. Murphy

"An automated spatial decision support system for the relocation of Army Reserve Units" was published by Naval Postgraduate School in 1997 - Monterey, Calif, it has 129 pages and the language of the book is English.
“An automated spatial decision support system for the relocation of Army Reserve Units” Metadata:
- Title: ➤ An automated spatial decision support system for the relocation of Army Reserve Units
- Author: Mark A. Murphy
- Language: English
- Number of Pages: 129
- Publisher: Naval Postgraduate School
- Publish Date: 1997
- Publish Location: Monterey, Calif
“An automated spatial decision support system for the relocation of Army Reserve Units” Subjects and Themes:
- Subjects: DECISION SUPPORT SYSTEMS - MILITARY RESERVES - MANPOWER UTILIZATION
Edition Specifications:
- Pagination: x, 129 p. ;
Edition Identifiers:
- The Open Library ID: OL25310404M - OL16630110W
- Online Computer Library Center (OCLC) ID: 640490177
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"An automated spatial decision support system for the relocation of Army Reserve Units" Description:
The Open Library:
This research analyzes the process used to evaluate potential relocation sites for Army Reserve units from the perspective of military readiness. A comparative decision model (based upon Multi-Attribute Utility Theory), augmented by a Geographic Information System (GIS), was designed and implemented in an automated Spatial Decision Support System (SDSS). This SDSS provides a flexible structure that can be generalized to serve as an executable conceptual model for a wide range of decisions containing significant geographic or location related components. The Army Reserve Installation Evaluation System (ARIES) integrates several commercial software products in a seamless and synergistic manner. Data extracted from numerous large databases is spatially processed by a commercial mapping engine, and then overlaid onto a formal decision model. The decision maker can rely on a single, simplified interface that consistently applies the professional judgement of a panel of experts to produce standardized reports, or choose from a robust suite of methods for model management, sensitivity analysis, and the display of results. A process that previously required weeks can now be completed in minutes. More important, this approach improves the decision maker's effectiveness by conveniently providing insights into the nature of the source data and the decision process.
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