Designing Technology Strategic Planning Based on Hybrid Intelligence

In the present study, technology strategic planning model based on neuro – fuzzy hybrid intelligence is suggested. It is the result of an integrated and systematic hybrid of existing models presented in literature of technology strategy planning and hybrid intelligent strategic planning. Neuro-fuzzy technique is used for modeling of technology strategies with MATLAB. The model is evaluated in Iran’s petrochemical industry based on average test error and average train error which were satisfying. A list of technologies in the industry, the industry's ability in the development of technology, attractiveness of technology in the industry, and patent indicators are identified based on expert’s viewpoints. According to the location of technologies in decision matrices of technology strategies, technology strategies are proposed in three categories: research driven, investment driven, and knowledge driven. Data is collected by the total researchers in subsidiary companies who do research in specific fields of petrochemical industry and have the knowledge in those fields