WHERE DECISION SUPPORT SYSTEMS AND MACHINE LEARNING TECHNOLOGIES MEET
WHERE DECISION SUPPORT SYSTEMS AND MACHINE LEARNING TECHNOLOGIES MEET

Summary/Abstract: The use of computers in any domain is a widely recognized fact and it has been impossible not to ask whether the computers’ capacity to learn wouldn’t increase their utility. The answer would be that as the learning capacity increases, the impact it determines is spectacular. The aim of the intelligent technologies approach in developing decision support systems has been the use of human reasoning to find solutions for complex decision problems, but also to gain extra knowledge within the organization, in order to increase the quality of the management process. The idea that intelligent systems could solve tasks that were until recently considered to be exclusively human has drawn the researchers attention, and the number of applications in the artificial intelligence field has increased and being materialized in new technologies. One of these technologies, determined by the interest in systems that are capable to learn similarly to the human beings is the Machine Learning technology. Machine Learning technologies based systems do not eliminate human intuition, but a collaborative approach between the human being and the machine is preferred, and this would be an important reason to use these technologies for the development of modern decision support systems

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