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Neuro-Fuzzy Approach for Technology Strategic Planning
Abstract
In the chapter, a neuro-fuzzy-based technology strategic planning model is suggested. It is the result of an integrated and systematic hybrid of existing models presented in the literature of technology strategy planning and hybrid intelligent strategic planning. The 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, the attractiveness of technology in the industry, and patent indicators are identified based on experts' 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 researchers in subsidiary companies who do research in specific fields of petrochemical industry and have the knowledge in those fields.
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