@article{1487,
  author = {Atallah. M. AL-Shatnawi, Wafa. S. Alsharafat, Bader. M. Al-Fawaz, Rabah Alshobul},
  title = {An Integrated Expert System for Mobile Phone Failure Diagnosis},
  journal = {Journal of Intelligent Computing},
  year = {2014},
  volume = {5},
  number = {2},
  doi = {},
  url = {http://www.dline.info/jic/fulltext/v5n2/1.pdf},
  abstract = {In this paper, an integrated knowledge base system for mobile phone failure diagnosis will be designed. ‘The Knowledge Extraction’ and ‘The System Development’ are the main two challengesfaced during the knowledge based system development.The mobile phone hardware faults detection and maintenance is a critical process which needs a high level of expertise.In this paper the mobile phone issues are clearly described and analyzed. As well as the proposed knowledge base system structure, components and functions are presented and described.The CLIPS is used as an expert system tool for designing the proposed system. The proposedsystem consists of 125 rules for the differentmobile phone hardware types of failures and reasons. It can detect all the different types of hardware failures. The developed system has been evaluated and tested by many users and mobile phone experts, positive feedback was received.},
}