The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Agile software development (ASD) techniques are iteration based powerful methodologies to deliver high quality software. To ensure on time high quality software, the impact of factors affecting the development cycle should be evaluated constantly. Quick and precise factor evaluation results in better risk assessment, on time delivery and optimal use of resources. Such an assessment is easy to carry...
This paper uses a simple dynamic game model with incomplete information to support the decision for employee selection endogeneity. According to game theory and its application research, a perfect Bayesian equilibrium is given at first, and then the dynamic game model with incomplete information of perfect Bayesian equilibrium is demonstrated by using an example of selecting employees. The research...
Situation assessment (SA) is one of the important processes in military decision. As a component of battlefield data fusion and decision support, SA is not easy to be realized ideally by using one particular technology in practice. Like any other complex military process, it requires the cooperation of lots of information processing technology. This paper describe a mechanism for constructing probabilistic...
Rule-based classifiers allow rationalization of classifications made. This in turn improves understanding which is essential for effective decision support. As a rule based classifier, the pattern discovery (PD) algorithm functions well in discrete, nominal and continuous data domains. A drawback when using PD as a classifier for decision support is that it has an unbounded decision space that confounds...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.