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Expert Systems and Artificial Intelligence Capabilities Empower Strategic Decisions: A Case study

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Author Affiliations

  • 1Department of Management, Marand Branch, Islamic Azad University, Marand, IRAN
  • 2Department of Management, Tabriz Branch, Islamic Azad University, Tabriz, IRAN

Res. J. Recent Sci., Volume 3, Issue (1), Pages 116-121, January,2 (2014)

Abstract

This article tries to investigate the capabilities of expert and artificial intelligence systems in organization strategic decision. An expert system is a knowledge-based computer program that achieves human expertise in a limited domain. The expert system or knowledge based systems (KBS) are originated in the study of artificial intelligence (AI). Expert systems owes their existence to the artificial intelligence and answer to inferential questions on specific issues such as the implications of the knowledge of the experts. Expert systems must be able to explain their process of reasoning and conclusion to the end user. This research indicates that expert system leads to promotion of strategic decision making quality accompanied by speed and accuracy in the principle behaviors and the root of the expert system is artificial intelligence that the computer activities like human activities are based on knowledge, accuracy, education and perception

References

  1. Ward J. and Peppard Y., Strategic Planning for Information Systems, London: John Wiley & Sons Ltd. (2002)
  2. Hamidi Zadeh M., Jafari M., Behjati M., Strategic Management Studies, 1(5), 45-27(2010)
  3. Davis S., David C. Yen., the information system consultant's handbook: System analysis and design, 5(11) 7001-8493 (1998)
  4. Zavareh A. and Kuchaki A., Introduction to expert systems and applications, new approaches to regional conference on Computer Engineering and Information Technology, ROUDSAR (2011)
  5. Elahi S. and Rajab Zadeh A., Expert systems, intelligent decision-making model, Frist Printing, Tehran, Publications Printing Co., publisher of Business (2006)
  6. Bafandeh zendeh A., developed a fuzzy expert system for design of the organizational structure, Space Management, 13(3), 41-46 (2009)
  7. Sageb Tehrani, M., Tadayon, shabnam., Information Technology Management, Tehran, kind of publishing, Frist printing, 6(12) 507-508 (2005)
  8. Mishra Aswini Kumar, G. Sri Harsha, Shivi Anand and NeilRajesh Dhruva, Analyzing Soundness in Indian Banking: ACAMEL Approach, Research Journal of Recent Sciences ,1(3), 9-14 (2012)
  9. Hosseini, A., pass on Expert Systems, Network Magazine, December (2006)
  10. Aggarwal Vijender, Aggarwal Rachna and Khanna Parul, Micro Finance and Risk Management for Poor in India, Research Journal of Recent Sciences, 1(2), 104-107 (2012)
  11. Droudi Homa and Dindar Farkoosh Firouz, An Investigationon the Relation between Human Resources Management and Organizational Developments, Research Journal of Recent Sciences, 2(2), 50-53 (2013)
  12. Yasir Arafat Elahi and Mishra Apoorva, A detail study onLength of Service and Role Stress of Banking Sector inLucknow Region, Research Journal of Recent Sciences, 1(5),15-18 (2012)
  13. Mastrobeo G., facchinetti G.,magni G.A., A proposal for modeling real option through fazzy expert system, management perspective, Journal of Product & Brand Management,3(4)1472-964(2011)
  14. Kelley, D., Loyman, S., "Introduction to Rabaties," New Jersey(1986)
  15. Radieng, A.," Knowledge management, translated by Mohammad Hossein Latifi, first published, Tehran, the publisher (2004)
  16. Stella, N., Chuks, A., Expert System: A Catalyst in Educational Development in Nigeria, Proceedings of the 1st International Technology, Education and Environment Conference (c) African Society for Scientific Research(ASSR) (2008)
  17. Hakim poor, H., Huam Hon Tat, N., Rahmandoust, M., Artificial Neural Networks’ Applications in Management, World Applied Sciences Journal, 14(7) 1008-1019, ISSN 1818-495(2011)
  18. Magni, C., Malagoli, St., Mastroleo, G., an alternative approach to firms’ evaluation: expert systems and fuzzy logic, Electronic version of an article published as, International Journal of Information Technology,1(5) 195-225(2006)
  19. Baloui Jamkhaneh, E., Nozari, A., Nadi Ghara, A., Analyzing Fuzzy System Reliability Using Confidence Interval, World Applied Sciences Journal,10 (13), 2191-2197(2011)
  20. Taghizadeh H., Soltani Fesandig, G., Assessment of the learners using fuzzy expert system, Journal of Management Tomorrow, (2010)