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Cooling systems are important part of our day-to-day life in summer season. In cooling systems, most challenging part is to consume the less energy with longer reliability. A multi-chiller system is analyzed in the present work. In the present problem, a fuzzy logic-based approach is used to evaluate the fuzzy reliability of multi-chiller system. The reliability of a multi-chiller system depends upon the failure with the partial (part) loading ratio (PLR). PLR is taken as fuzzy parameter in this work. In this work we also compared the results of the approach Lagrangian Method (LGM), Genetic algorithm (GA) and Teaching learning-based optimization (TBLO) with our proposed approach. [ABSTRACT FROM AUTHOR]

Wheat is the second most dominant food grain cultivated in India and also a major source of food security for the nation. After the Green Revolution, this crop witnessed remarkable growth. But, in the mid-1990s, doubts about the sustainability of its growth performance started cropping up. Consequently, methods to enhance the production through the best utilization of agricultural inputs were considered and Meditative Fuzzy Logic (MFL) was found to be a suitable method for incorporating agricultural production planning at crop level. Meditative Fuzzy Logic deals with inconsistent information; wherever a contradiction exists. Herein, MFL is used to construct an appropriate production planning technique to suggest increase in the productivity in wheat farming, by including eight input factors for five major states. The results clearly reveal that if agricultural inputs are used according to MFL technique, then output (productivity) of wheat crop will be much better as compared to existing productivity. [ABSTRACT FROM AUTHOR]

This paper presents a model based on mediative fuzzy logic in this COVID-19 pandemic. COVID-19 (novel coronavirus respiratory disease) has become a pandemic now and the whole world has been affected by this disease. Different methodologies and many prediction techniques based on various models have been developed so far. In the present article, we have developed a mediative fuzzy correlation technique based on the parameters for COVID-19 patients from different parts of India. The proposed mediative fuzzy correlation technique provides the relation between the increments of COVID-19 positive patients in terms of the passage of increment with respect to time. The peaks of infected cases in connection with the other condition are estimated from the available data. The mediative fuzzy logic mathematical model can be utilized to find a good fit or a contradictory model for any pandemic model. The proposed approach to the prediction in COVID-19 based on mediative fuzzy logic has produced promising results for the continuous contradictory prediction in India. [ABSTRACT FROM AUTHOR]