A Review of the Application of Fuzzy Logic in Bioenergy Technology
Sibabalwe Zenani, KeChrist Obileke, O. Ndiweni, Patrick Mukumba
Abstract
Although fuzzy logic is regarded as an old modelling technique, its application in recent studies cannot be overemphasised. Therefore, the study aims to provide recent developments and ideas based on the scholarly contribution from the literature on how uncertainty can be reduced and to enhance decision-making through fuzzy logic in relation to bioenergy technologies. This is necessary to address the potential of uncertainty, inherently subjective information, and handling imprecise data, as well as identifying sustainable determinants in bioenergy technologies. Fuzzy logic application is an essential modelling technique in this regard. In this paper, a review focusing on the comprehensive and detailed applications of fuzzy logic models in bioenergy technologies is presented. From the review, it is found that the integration and combination of a fuzzy logic model plus other modelling techniques provides a better performance and is known to be effective and efficient. The review demonstrates how fuzzy logic can help to manage complicated variables, thereby ultimately promoting more effective and sustainable bioenergy solutions. Hence, for maximum attention on the review, it is suitable for stakeholders, planners, and decision makers in bioenergy research and industry.