Providing Support for Today's Decision Making Processes Decision making

Current decision making processes often involve uncertain information obtained from a number of sources. In addition the available data might be incomplete and/or collected at different time periods, i.e. its significance may require adjustments. In many cases experiments cannot be repeated and conclusions have to be drawn based on opinions of several experts. Working with intervals instead of using crisp values provides an opportunity to accommodate several varieties of data types. This can be done by involvement of grey numbers. Their exact values are unknown but either the corresponding intervals where they possibly belong are known or some sets of numbers where they can be placed are known. Grey numbers are further divided into conceptual, layer, and prediction type according to types of uncertainty they describe. In this work we consider project proposals ranking based on multi criteria multi person decision making. Grey numbers are employed to facilitate handling imprecise data. Concept lattices are further employed for querying in a set of formal concepts extracted from available data. Such processes result in establishing whether a new element belongs to any of the existing pattern structures.