Design of a fuzzy artificial intelligence system in the selection of health technology in the foresight process
Subject Areas : Futurology
SADEGH ABEDI
1
(Faculty Member ,Industrial Management Department, Islamic Azad University, Qazvin Branch)
fatemeh hamidi
2
(information technology managment group,qazvin university,qazvin,iran)
Mohammad Reza Sanayi
3
(Faculty Member IT Department,, QIAU)
Keywords: Technologies, Foresighting, Evaluation, Fuzzy Nervous System,
Abstract :
In general, the importance of health technology in today's world can be underlined by the fact that this technology is the foundation of success in the development of medical services. One of the long-term goals set for the medical device industry in the country is to move towards self-sufficiency and reduce the need for imports. Requiring this goal requires careful and forward-looking assessment. One of the main processes in foresight is technology evaluation. In fact, when it comes to foresighting organizations, we first identify the future trends of technology and secondly measure the level of technology available. As long as the existing technology level is not measured, futures are practically meaningless. Therefore, one of the most important parts of technology foresight is the evaluation of existing technology in the field of health. Based on the D-method, the inputs are efficient R&D, technology development, engineering, manufacturing, and the level of competitiveness and overall performance of the team.
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