Rainfall prediction in Tengger region Indonesia using Tsukamoto fuzzy inference system
Rainfall Prediction in Indonesia is very important for agricultural sector. However, obtaining
an accurate prediction is difficult as there are too many input parameters including the world
climate change that affect the accuracy. An accurate prediction is required to arrange a good
schedule for planting agricultural commodities. A good approach is required to obtain a
good model as well as the accurate prediction. This paper proposes Tsukamoto fuzzy
inference system (FIS) to solve the problem. An intensive effort is put in building fuzzy …
an accurate prediction is difficult as there are too many input parameters including the world
climate change that affect the accuracy. An accurate prediction is required to arrange a good
schedule for planting agricultural commodities. A good approach is required to obtain a
good model as well as the accurate prediction. This paper proposes Tsukamoto fuzzy
inference system (FIS) to solve the problem. An intensive effort is put in building fuzzy …
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