ARTIFICIAL INTELLIGENCE TRENDS FOR INTELLIGENT DECISION SUPPORT SYSTEMS

Information Technology

Making decisions is a fundamentally human behavior that can have major effects. It is perhaps not unexpected that researchers have worked to enhance and extend human capabilities through the development of computer technologies. This objective has been achieved in several applications thanks to advancements in artificial intelligence (AI). Intelligent decision support systems (IDSS), also known as AI-integrated decision-making support systems, are rapidly being utilized to help decision-making in industries like banking, healthcare, marketing, commerce, command and control, and cybersecurity. Systems that in some way imitate human cognitive abilities are said to as intelligent. AI tools are used by these systems to reason, learn, recall, plan, and analyze. By, for instance, surveying and selecting pertinent data from extremely large and dispersed data sources, applying analytical tools to unstructured data, creating generalized solutions from rule-sets and probabilities, and identifying associations in data from multiple sources that may influence a decision, AI tools can be used to augment human capabilities. When used in conjunction with decision support systems, tools like Artificial Neural Networks, Fuzzy Logic, Intelligent Agents, Agent Teams, Case-Based Reasoning, Evolutionary Computing, and probabilistic reasoning can assist a decision maker in assessing and choosing options. These systems are especially useful for complex non-deterministic issues with lots of data and ambiguity. This study's goals are to describe current developments in the field of using AI approaches as a tool for intelligent decision support systems and to outline the potential for future research.

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