Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Neuro-Fuzzy Approach for Technology Strategic Planning

Neuro-Fuzzy Approach for Technology Strategic Planning
View Sample PDF
Author(s): Maryam Ebrahimi (Azad University, Iran)
Copyright: 2019
Pages: 18
Source title: Private Sector Innovations and Technological Growth in the MENA Region
Source Author(s)/Editor(s): Maryam Ebrahimi (Azad University, Iran)
DOI: 10.4018/978-1-5225-7086-8.ch003


View Neuro-Fuzzy Approach for Technology Strategic Planning on the publisher's website for pricing and purchasing information.


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.

Related Content

Malak Z. Alamri, N. Z. Jhanjhi, Mamoona Humayun. © 2020. 18 pages.
Abdul Malik Omar. © 2020. 17 pages.
Bushra Hamid, N. Z. Jhanjhi, Mamoona Humayun. © 2020. 23 pages.
Kennedy Degaulle Gunawardana. © 2020. 28 pages.
Mamoona Humayun, N. Z. Jhanjhi, Malak Z. Alamri, Azeem Khan. © 2020. 20 pages.
Fatma Bouaziz. © 2020. 21 pages.
Azeem Khan, N. Z. Jhanjhi, Mamoona Humayun, Muneer Ahmad. © 2020. 23 pages.
Body Bottom