Development of expert unstructured decisionmaking support system

Journal of Theoretical and Applied Information Technology. 2022. Vol. 100. No. 18. P. 5418–5437.

Tatiana Kravchenko, Shevgunov T.

With the advent of data warehouses and OLAP-technology, and subsequently many other systems that
output information for decision-making, all such systems began to be referred to as decision support system
(DSS). Thus, the original purpose of DSS has been forgotten: the selection of an effective solution from the
set of possible alternatives for poorly structured or unstructured management decision-making tasks based
on mathematical methods and information technology. Therefore, it would be more correct to call systems
of this class Unstructured decision-making support systems (UDMSS), and other support systems, DSS.
Currently, new terms are appearing, the purpose of which is to combine DSS into certain classes; for
example, System DSS, Business DSS and Intelligent DSS. Research objective is the following: to develop
a new UDMSS that combines elements of expert systems, data warehouses, group DMSS, author's
UDMSS, and can be called Expert UDMSS (EUDMSS). The following main results are presented in the
article: features of an expert unstructured decision making support system; system architecture; decision-
making method selection module (expert system shell); decision-making module, including 50
mathematical methods (decision-making methods using the majority principle, Pareto and Bayes principle,
in partial and full uncertainty, in dynamic formulation, vector optimization, methods combining various
principles of matching evaluations of alternatives and other methods); system functionality.

Keywords: decision support system, Decision Table, System Knowledge Base, Methods Of Decision Theory, Unstructured Decision Making Support Systems