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Intelligent Decision Making Support Systems: Issues and Challenges

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This paper critically analyses the nature and state of Intelligent Systems (IS) and Decision Support Systems (DSS) theories, research and applications. A brief historical review of DSS and how Artificial Intelligence (AI) has been embedded into the DSS and generated the interesting scientific area of Intelligent Decision Support Systems (IDSS) is provided. The challenge and absolute need for “Making Decisions” is briefly outlined. The challenge now is to make sense of DSS in “Decision Making” by planning it in understanding context and by searching new ways to utilize other advanced methodologies to the challenging issues in the future. The possibility of using Fuzzy Logic, Fuzzy Cognitive Maps and Intelligent Systems in DSS is reviewed and analyzed. The new generic method for DSS been proposed before, the Decision Making Support System (DMSS) is briefly presented. A new two-level DMSS using intelligent systems and exploiting the scientific power of Experts, the I-DMSS method is introduced. Finally a new dynamical state mathematical formulation of FCMs is given for first time, the so called DYnamic FUzzy Knowledge Networks (DYFUKN).
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Document Type: Research Article

Publication date: June 1, 2014

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  • JOURNAL OF COMPUTATIONAL INTELLIGENCE AND ELECTRONIC SYSTEMS publishes emerging research in the areas of the computational intelligence and electronic systems. JCIES publishes in all areas of computational intelligence design and applications: applications oriented developments, successful industrial implementations, design tools, technology reviews, computational intelligence education, and applied research, specific emphasis on power electronics, embedded systems, semiconductor devices, analogue circuits, digital electronics, microwave and millimeter-wave techniques, wireless and optical communications, sensors, instrumentation and medical electronics much more.
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