A knowledge-driven DSS provides specialized problem solving expertise stored as facts, rules, procedures, or in similar
structures and it suggests or recommends actions to managers [8].
A KD-DSS is a knowledge driven decision support system, which has problem solving expertise. The KD-DSS can give
suggestions or recommendations based on several criteria’s. These systems require human-computer interaction.
Advanced analytical tools like data mining can be integrated with the KD-DSS to find hidden patterns. Knowledge
Driven DSS is also called as Intelligent Decision Support methods, and it is analogues to the knowledge warehouse
strategy work. We choose KD-DSS model, because it has capacity to self-learn, identify associations between the data,
and perform heuristic operations, if required. These abilities turn the DSS system into intelligent, increase the capacity of
problem solving and improve suggestion accuracy. It is important to mention that the Knowledge representation play key
role in KD-DSS. Well-defined knowledge representations include rule-based systems, semantic web and frame systems. A
rule-based system contains rules in the database