Supporting human decision making in tasks such as disaster planning and time-sensitive targeting is challenging because of the breadth and depth of knowledge that goes into the decision making process and the need to reason with this knowledge within tight time constraints. Ontologies are well suited for representing the concepts that humans use in describing the domain of interest. However, on...

spatial planning system of a country is the array of its planning systems. getting familiar with spatial planning system of different countries and their experiences could help for comparison and accommodation so that making decision and defining appropriate planning system could be done. this article has studied the spatial planning system of portugal and since there are different factors affe...

An approach to decision making that combines multi-attribute decision making techniques with expert systems is described. In this approach, knowledge about a particular decision making problem is represented in the form of tree-structured criteria and decision rules. Decision making is supported by an expert system shell. This chapter focuses on the part of the shell that supports evaluation, e...

Most research on decision making attends more to cognitive rules than to the situations in which these rules are employed. One characteristic of these situations is the correlation among the features or cues they reveal. We simulated thousands of decision situations that varied in 1) the number of alternatives, 2) the number of features, and 3) the correlations among features. Six, simple decis...

Compliance is a critical enterprise management concern, particularly in business process-oriented organizations. Compliance measures are often implemented using policies, of which decision-making requires high independence from implementation logic and high flexibility. This paper motivates the use of an event-centric approach for modeling policy decision-making. We introduce an event ontology ...

In data mining, there are several works proposed for mining the association rules which are frequent. Researchers argue that mining the infrequent item sets are also important in certain applications. Discovering association rules are based on the preset minimum support threshold given by domain experts. The accuracy in setting up this threshold directly influences the number and the quality of...