FUZZY APPROACH IN IMPLEMENTATION OF E-GOVERNMENT IN THE FIELD OF REGIONAL DEVELOPMENT REGULATION

Year 2010, Volume: 2 Issue: 1, 31 - 44, 01.06.2010

Elchin Alıyev Ramin Rzayev

Abstract

Sensible regional policy administration should be based on analytical implementations and
software on preparation of «an electronic portrait» of the state subjects. Therefore it is
necessary to create an information society which would push the municipal organizations
to join the concept of «e-Government».
In order to avoid and overcome an information inequality and to create a form of regions
management in the field of the regional policy, e-government can give opportunity to
receive the information in the integrated electronic type. Particularly, electronic regulation
of regions by e-Government assumes solution of three types of IT-problems: infrastructure
creation, public portals and announcement of vertical solutions.
Obtained implementations of automation control of the regions afford to government sector
the opportunity to consolidate the central and periphery informational societies and
provide with the software for rendering the services accessible anytime in anyplace and by
any device. To announce the vertical solutions in the field of regional policy the programs
which enable to perform the transition to distributed computing operation of local
government employees (considering the Internet being the environment of their interactive
communication) was developed on the basis of Neuro-Fuzzy technologies.

Keywords

e-Government, neural network, fuzzy set, differential and integral indexes of region development, utility function.

References

• Averkin, A. (1995) Decision Making Based on Multivalued Logic and Fuzzy Logic.
• Architectures for Semiotic Modeling and Situation Analysis in Large Complex Systems, Proceedings of the 1995 ISIC Workshop, 27-29 August, Monterey, California.
• Knight, F. (1921) “Risk, Uncertainty and Profit”, Boston: 210 – 232.
• Lvov, D. (1999) A way to XXI century: Strategic problems and prospects of the Russian economy. “Publishing house” Press, Russia, M. (in Rus.)
• Yager, R., Zadeh, L. (1994) Fuzzy Sets, Neural Networks, and Soft Computing. Van Nostrand Reinhold.
• Zadeh, L. (1974) The concept of a linguistic variable and its application to approximate reasoning. American Elsevier Publishing Company, N.Y.