The Importance of Information Technology in Creating Occupation and Representation the Possibility Strategies by Using of Fuzzy Rule-Based Systems

Document Type : Research Paper


Associate Prof. in Management, Semnan Branch, Islamic Azad University, Semnan, Iran


The present study aimed to investigate the impact of Information Technology on employment using fuzzy rule-based systems. The reason for discussing occupation/employment is related to high rate of unemployment in Iran. In this regard, it was expected that information technologies could provide new jobs for educated job seekers. Fuzzy logic has been adopted in this research due to the linguistic, qualitative nature of the assessment indicators of strategies. The conceptual model of research revealed that information technology plays a dual role in job creation. In the short term, the information technology reduced the employment, however in the long time, increased the employment. In order to achieve the goal of strategy choices with the logic close to human intelligence, an 8-step process was proposed and designed. The results of fuzzy inference, indicated a better compliance with the existing realities as well as systems of human thought and the feasibility of available strategies to researcher- something not existed in the classical methods of strategy assessment.


Main Subjects

Alipoor, V., Bashokoh, M. & Shekastehband, M. (2016). Identify factors affecting the development and use of electronic services in the tourism industry (studied Ardebil). Journal of Information technology management, 4(7), 845-864. (in Persian)
Amarzadeh, M. (2006). Assessing effect of ICT on employment (case study using panel data approach). Economic Studies, 5(75), 197-221.
(in Persian)
Chengguang, Z. (2014). It training for Program with people with Disabilities. Main CRS websites, Available in:
Ijegwa, A.D., Rebecca, V.O., Olusegun, F. & Isaac, O.O. (2014). A predictive stock market technical analysis using Fuzzy Logic. Computer and Information Science, 3(7), 1-17.
Lukasiewicz, L. (1964). Elements of Mathematical Logic. Translated from Polish by Olgierd Wojtasiewicz. New York: Macmillan.
Jonathan, C. (2014). Jobs, skills and the importance of vocational education. Spencer Thompson and Craig Thorley. Available in: /files/publications/pdf/winning-global-race_June2014. pdf?noredirect=1.

Kheyrandish, M. (2013). Expaining model of affecting factors on e-learning effectiveness in post graduate courses. Journal of Information technology Management, 6(4), 629-648.

Merikull, J. (2008). The impact of innovation on employment: firm and industry level evidence from Estonia. Eesti Pank (Bank of Estonia). Available in:
Pei, Z., Resconi, G., Wal, A.V., Qin, K. & Xu, Y. (2006). Interpreting and extracting fuzzy decision rules from fuzzy information systems and their inference. Information Sciences, 176(13), 1869–1897.
Saaty, T.L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation, ISBN 0-07-054371-2, McGraw-Hill.
Sabaghi, M. (2009). Effective factors in process of using EC in Iran. MA thesis, Management Faculty of Tehran University. (in Persian)
Taghavifard, M.T., Hosieni, F.S. & Khan Babaei, M. (2014). Hybrid credit scoring model using genetic algorithms and fuzzy expert systems Case study: Ghavvamin financial and credit institution. Journal of Information Technology Management, 1(6), 31-46. (in Persian)
Taheri, S.M. (2000). An Introduction to Fuzzy Set Theory. Mashhad: Jehad Daneshgahi. (in Persian)
Talebiani, A. (2007). An introduction on IT problems is Iran. Fourth National Conference on EC. Commerse Ministry, Tehran, Iran.
(in Persian)
Vivarelli, M. (2007). Innovation and Employment: A Survey. Journal Subscription Information, IZA Discussion Paper. No. 2621.