Hybrid Intelligent System (HIS) is the awareness in the academic communities that combined and integrated approaches are necessary for solving problems which remained unsolved in the artificial intelligence system.

Hybrid intelligent system (HIS) is a promising research field of modern artificial intelligence concerned with the development of the next generation of intelligent system. HIS is the awareness in the academic communities that combined and integrated approaches will be necessary for solving the tough problems which remained unsolved in the artificial intelligence system.Recently, hybrid intelligent systems are becoming popular due to their capabilities in handling many real world complex problems, involving imprecision, uncertainty, vagueness and high-dimensionality.

HIS is a simultaneous use of two or more intelligent techniques and approaches, such as neural networks, traditional knowledge-based methods, fuzzy technique, genetic algorithms, agent-based techniques, case-based reasoning, etc. The combination or integration of more distinct methodologies can be done in any form, either by modular integration of two or more intelligent methodologies, which maintain the identity of each methodology, or by fusing one methodology into another or by transforming the knowledge representation in one methodology into another form of representation characteristic.

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