Sudha M

Department of Information Technology

School of Information Technology and Engineering

Vellore Campus

Fulltext

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Decision Science Letters

Uncertain atmosphere is a prevalent factor affecting the existing prediction approaches. Rough set and fuzzy set theories as proposed by Pawlak and Zadeh have become an effective tool for handling vagueness and fuzziness in the real world scenarios. This research work describes the impact of Hybrid Intelligent System (HIS) for strategic decision support in meteorology. In this research a novel exhaustive search based Rough set reduct Selection using Genetic Algorithm (RSGA) is introduced to identify the significant input feature subset. The proposed model could identify the most effective weather parameters efficiently than other existing input techniques. In the model evaluation phase two adaptive techniques were constructed and investigated. The proposed Artificial Neural Network based on Back Propagation learning (ANN-BP) and Adaptive Neuro Fuzzy Inference System (ANFIS) was compared with existing Fuzzy Unordered Rule Induction Algorithm (FURIA), Structural Learning Algorithm on Vague Environment (SLAVE) and Particle Swarm OPtimization (PSO). The proposed rainfall prediction models outperformed when trained with the input generated using RSGA. A meticulous comparison of the performance indicates ANN-BP model as a suitable HIS for effective rainfall prediction. The ANN-BP achieved 97.46% accuracy with a nominal misclassification rate of 0.0254%.

Agris on-line Papers in Economics and Informatics

Impact of Hybrid Intelligent Computing in Identifying Constructive Weather Parameters for Modeling Effective Rainfall Prediction

International Journal of Multimedia and Ubiquitous Engineering

Development of Temperature-based Weather Forecasting Models Using Neural Networks and Fuzzy Logic

Energy

Prediction, operations, and condition monitoring in wind energy

2013 5th International Conference on Computer Science and Information Technology

Evaluation of discernibility matrix based reduct computation techniques

Applied Soft Computing

Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification

Intelligent decision support system based on rough set and fuzzy logic approach for efficacious precipitation forecast

Journal	Data powered by TypesetDecision Science Letters
Publisher	Data powered by TypesetGrowing Science
ISSN	1929-5804
Open Access	Yes