Fuzzy expert system for drinking water quality index

Authors

  • Nidhi Mishra Raipur Institute of Technology & Engineering College, Chhattisgarh, India.
  • P Jha J. Y. Chhattisgarh College, Chhattisgarh, India.

Keywords:

Water Quality Index, Fuzzy Logic, Fuzzy Expert System, Water Quality Classification. Drinking water Quality Index.

Abstract

The role of water in human life is significant as it plays a very essential role in the procedure of human body. Fuzzy logic provides an efficient and useful device for classifying drinking water quality based on limited observations. In this study, a Fuzzy Drinking Water Quality Index (FDWQI) is proposed for evaluation of water quality for drinking purpose. Fuzzy expert system makes it possible to combine the certainty levels for the acceptability of water based on an approved parameter.

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Author Biographies

Nidhi Mishra, Raipur Institute of Technology & Engineering College, Chhattisgarh, India.

Raipur Institute of Technology & Engineering College, Chhattisgarh, India.

P Jha, J. Y. Chhattisgarh College, Chhattisgarh, India.

J. Y. Chhattisgarh College, Chhattisgarh, India.

Published

04-09-2014

How to Cite

Mishra, N., & Jha, P. (2014). Fuzzy expert system for drinking water quality index. Recent Research in Science and Technology, 6(1). Retrieved from https://updatepublishing.com/journal/index.php/rrst/article/view/1180

Issue

Section

Articles