JDecisiontable2.3.3

When it comes to decision-making processes, users often must resort to sophisticated approaches that involve traditional comparison tables. Fortunately, there are alternative software solutions and one of them is JDecisiontable. It will allow people to improve their decision-making process by eliminating the traditional approach and constructing process-oriented decision tables.

Minimalist interface that offers plenty of customization for the decision tables and their elements

The application comes packed with a simple interface that offers a clean layout and accessible menus. One will be able to easily create new decision tables, with custom number of nodes, descriptions, probabilities, conditions and comparisons.To match the nodes, the application allows users to add custom rules, which can be filled with true/false type operators. Once the preferred decision table has been created, its validity can be verified, on different levels: all checks, nodes, rules, etc.

Create process-oriented decision tables and verify their integrity with ease, by using this clever utility

Users will be able to perform the checkups for different table elements, individually, this way ensuring the integrity of their tables. They will be able to verify all nodes, if all rules are disjunct, as well as the actual number of rules.Furthermore, the application allows them to easily sum all the assigned probabilities, check if they add up to 100% and display the nodes that have the “true” condition in their corresponding rule. All these validation steps will increase the efficiency with which users can construct decision tables, allowing them to export the tables to CSV format safely, knowing they are error-free.

Intuitive software solution that will help users design process-oriented decision tables with ease

For those who decision making processes are an important aspect, this application could allow them to construct better decision tables. It will offer them a different approach, which is based on process-oriented decision tables and it will allow them to easily add the preferred nodes, rules and corresponding probabilities. Featuring an intuitive handling and easy-to-use tools, it also supports exporting to CSV file format for further processing in external applications.