A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit <a rel="external noopener" href="http://www.cisiad.uned.es/techreports/dans.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
Decision analysis networks
<span title="">2018</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sy2zvsxl4vdejh3zsp3utmplry" style="color: black;">International Journal of Approximate Reasoning</a>
</i>
Preserved Fulltext
This paper presents decision analysis networks (DANs) as a new type of probabilistic graphical model. Like influence diagrams (IDs), DANs are much more compact and easier to build than decision trees, and are able to represent conditional independencies. Both IDs and DANs can represent symmetric problems, but DANs can also represent problems involving restrictions between the values of the variables (structural asymmetry) and partial orderings of the decisions (order asymmetry). Therefore, DANs
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ijar.2018.02.007">doi:10.1016/j.ijar.2018.02.007</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6rdtipqgfbabjfsgusaensgamu">fatcat:6rdtipqgfbabjfsgusaensgamu</a>
</span>
more »
... can easily model and solve many real-world problems that IDs cannot. We argue that DANs compare favorably with other formalisms proposed for modeling asymmetric decision problems. Additionally, we offer Open-Markov as an open source software tool for editing and evaluating DANs.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808055842/http://www.cisiad.uned.es/techreports/dans.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/76/23/762344c848547382cc14381aeb21eebe7ce01987.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ijar.2018.02.007">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="external alternate icon"></i>
elsevier.com
</button>
</a>