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New fuzzy logic approach for the capability assessment of renewable energy technologies: Case of Iran

New fuzzy logic approach for the capability assessment of renewable energy technologies: Case of... Firms need to identify their technology capability and change their productions through new reconfigurations and combinations of the existing potential capabilities with newly developed productions. Technology capability is a sophisticated, elusive, and vague concept that can be difficulty assessed. To accurately assess the technology capability, both the tangible and intangible parameters should be taken into account. The merit of employing the fuzzy set theory is to face with the vagueness and complexity imposed by the formulation process. As a result, this mathematical tool is broadly applied in wide-ranging fields. In this paper, a fuzzy-based model is developed for the renewable energy technology capability assessment to achieve clean energy generation. The logical outcomes demonstrated that the proposed model is a powerful technique for technology capability assessment in order to identify the coming opportunities, especially where there is a less or lack of information because of the complexity imposed by the ever-changing energy business world. The results show that the proposed model has a high potential for assessing the renewable energy technology capability of a firm in order to efficiently recognize the challenges related to investment in clean energy technologies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Energy & Environment SAGE

New fuzzy logic approach for the capability assessment of renewable energy technologies: Case of Iran

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References (82)

Publisher
SAGE
Copyright
© The Author(s) 2018
ISSN
0958-305X
eISSN
2048-4070
DOI
10.1177/0958305X17753698
Publisher site
See Article on Publisher Site

Abstract

Firms need to identify their technology capability and change their productions through new reconfigurations and combinations of the existing potential capabilities with newly developed productions. Technology capability is a sophisticated, elusive, and vague concept that can be difficulty assessed. To accurately assess the technology capability, both the tangible and intangible parameters should be taken into account. The merit of employing the fuzzy set theory is to face with the vagueness and complexity imposed by the formulation process. As a result, this mathematical tool is broadly applied in wide-ranging fields. In this paper, a fuzzy-based model is developed for the renewable energy technology capability assessment to achieve clean energy generation. The logical outcomes demonstrated that the proposed model is a powerful technique for technology capability assessment in order to identify the coming opportunities, especially where there is a less or lack of information because of the complexity imposed by the ever-changing energy business world. The results show that the proposed model has a high potential for assessing the renewable energy technology capability of a firm in order to efficiently recognize the challenges related to investment in clean energy technologies.

Journal

Energy & EnvironmentSAGE

Published: Jun 1, 2018

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