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Intelligent Decision Technologies - Volume Preprint, issue Preprint

Purchase individual online access for 1 year to this journal.

Price: EUR 105.00
ISSN 1872-4981 (P)
ISSN 1875-8843 (E)

A refereed international scholarly journal, Intelligent Decision Technologies (IDT) welcomes original research contributions on the fundamental concepts and applications of intelligent systems that support decision making. Manuscripts are published on such diverse areas as artificial intelligence, fuzzy techniques, genetic algorithms, intelligent agents, multi-agent systems, cognitive science, mathematical modeling, neural systems/neural networks, computer-supported cooperative work, geographic information systems, user interface management systems, informatics, knowledge representation, applications of intelligent systems and others.

The field of intelligent decision technologies is interdisciplinary in nature, bridging computer science with its development of artificial intelligence, information systems with its development of decision support systems, and engineering with its development of systems. IDT seeks to attract research that is focused on applied technology while exploring its development at a fundamental level. IDT seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision-making in industry, government and academia. IDT publishes research on all aspects of intelligent decision technologies, from fundamental development to the applied system. The journal is concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems that have the potential to support decision making in the areas of management, international business, finance, accounting, marketing, healthcare, military applications, production, networks, traffic management, crisis response, human interfaces and other applied fields.

The target audience is researchers in computer science, business, commerce, health science, management, engineering and information systems that develop and apply intelligent decision technologies. Authors are invited to submit original unpublished work that is not under consideration for publication elsewhere.

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