Assuming we are going to predict the monthly energy consumption for households in New York from historical data (e.g. number of rooms, number of occupiers, smart meter readings), usean example of a fuzzy inference system (FIS), withparameterised membership functionsto outline how you would go about tuning such a FIS, explaining the termsexhaustive-search,Monte-Carlosearch andhill climbing.

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