Optimized Hybrid Soft Computing Model for Weather Predictions in Delhi
Suvendra Kumar Jayasingh1, Jibendu Kumar Mantri2
Dr.Jibendu Kumar Mantri*, Reader, PG Department of Computer Application, North Orissa University, Baripada, India.

Manuscript received on November 19, 2019. | Revised Manuscript received on November 29 2019. | Manuscript published on 30 November, 2019. | PP: 9793-9798 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8996118419/2019©BEIESP | DOI: 10.35940/ijrte.D8996.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Soft computing techniques have become very popular now-a-days as these techniques have replaced the traditional and statistical prediction mechanisms in weather forecasting, stock market prediction, crop prediction, solar energy prediction, and predictions in physics and chemistry etc. Each model has its advantages and disadvantages. Hybrid soft computing model is the mechanism of designing the models by exploiting the advantages of two or more models and suppressing their disadvantages. If the advantages of two or more number of models will be taken together in the new proposed model, then the accuracy in the prediction will be enhanced with decrease in error rate. This paper intends to design a hybrid model by taking the advantages of J48 Decision Tree and Fuzzy Logic andit is used to predict the weather parameters in Delhi with better accuracy.
Keywords: Decision Tree, Fuzzy Rules, Fuzzy Rule based Decision Tree.
Scope of the Article: Cloud Computing and Networking.