Analysis and Design an Expert System for Identifying the Types of Water Quality in the Context of Physical Indicators


  • Shah Murtaza Rashid Al Masud Najran University, Najran, KSA


Water quality, Expert system, pH, TDS, EC, Temperature, Rule-based, Knowledge


­­­The expert system (ES) proposed in this paper is able to easily identify the major types of water quality and make appropriate recommendations according to the users’ needs for bottle drinking water, sea water, and even for irrigation water.  Although water is important of all living substances human-animals-fish-plants-agriculture, water is uninterruptedly polluted naturally and artificially which finally effects on its quality. Due to the dearth of data and facts about the quality of water, the harmful effects of water to the animals’ body including human, and also necessity of perfect water for agriculture remain unknown. As a result all the creatures depend on water suffer a lot.   To identify the types of water in this research paper we analyzed the physical indicators of water namely: positive hydrogen-pH level, total dissolved solids-TDS level, electrical conductivity-EC level, and temperature-T0C level. The inspiration behind this exertion was due to the inadequate knowledge about the quality of water and the need to provide novel approaches towards water quality identification and management. A rule-based, web enabled expert system shell: expertise2go was used to design about 56 rules which involved a knowledge component, decision component, design component, graphical user interface component, and the user component.

Author Biography

Shah Murtaza Rashid Al Masud, Najran University, Najran, KSA

Interest: Wireless networking, WBAN, Expert systems, AI, S/W engineering, Cloud computing, Grid computing, Distributed systems, Reversible logic, Fuzzy systems

Faculty of Computer Science and Information systems

Department of Computer Science

Najran University, Najran, KSA


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How to Cite

Al Masud, S. M. R. (2013). Analysis and Design an Expert System for Identifying the Types of Water Quality in the Context of Physical Indicators. Asian Journal of Computer and Information Systems, 1(1). Retrieved from