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

Hossein Mombeini, Abdolreza Yazdani-Chamzini, Dalia Streimikiene and Edmundas Kazimieras Zavadskas

Energy & Environment, 2018, vol. 29, issue 4, 511-532

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.

Keywords: Technology capability assessment; renewable energy technologies; fuzzy logic; investment opportunities (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:sae:engenv:v:29:y:2018:i:4:p:511-532

DOI: 10.1177/0958305X17753698

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