The rise in energy crisis required clean and suitable energy resources with higher
efficiency. Due to large availability of the solar light, energy generation from solar
energy is considered as one of the most suitable energy generation method. However,
certain environmental factors affect the efficiency of the solar energy generation from
solar panel using photo-voltaic effect. In this work, a parametric estimation is carried
out using a fuzzy rule-based system to study the impact of various environmental factors
including temperature, humidity and wind velocity on the output solar PV efficiency. All
the factors equally impact the efficiency of the solar panel resulting in affecting the
efficiency of the solar panel. The simulated and calculated results are compared which
shows error less than 1%, which shows the accuracy of the soft computing technique
(fuzzy rule based system).
With the society's continual technological improvements and modernity, it is critical to stay up with the advancements in instructional tools. To address this, a comprehensive study was done to investigate the elements influencing the quality of higher education in accordance with contemporary educational systems. The study sought to uncover the precise elements that have a major influence on the progress and improvement of higher education. Soft computing approaches, such as fuzzy logic, were used to anticipate the influence of numerous criteria on higher education quality, such as teacher to student ratio, classroom atmosphere, learning materials, current tools, managerial efforts, and academic assistance. Changes in these elements can improve students' thinking and talents, resulting in a better society with more economic power. This work uses fuzzy logic system in order to found that by enhancing these elements, educational quality may be improved, resulting in high-quality instruction and a better society.
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