A Fuzzy Logic Approach for Evaluating the Effectiveness of the Use of Information Technology in an Industrial Enterprise


Muradov N.

11th International Conference on Theory and Applications Soft Computing, Computing with Words and Perceptions and Artificial Intelligence, ICSCCW 2021, Antalya, Turkey, 23 - 24 August 2021, vol.362 LNNS, pp.697-703 identifier

  • Nəşrin Növü: Conference Paper / Full Text
  • Cild: 362 LNNS
  • Doi nömrəsi: 10.1007/978-3-030-92127-9_92
  • Çap olunduğu şəhər: Antalya
  • Ölkə: Turkey
  • Səhifə sayı: pp.697-703
  • Açar sözlər: Economy, Fuzzy logic, IT, Technology, İnformation
  • Adres: Bəli

Qısa məlumat

One of the main tasks and directions of the “Strategic Road Map” of the Republic of Azerbaijan is the application of modern information technology (IT) to increase economic efficiency in industrial enterprises of the country. The choice of this direction is the active use of all sectors of the economy, including industry. Creates conditions for intensive development. The use of information technology in industrial enterprises increases their competitiveness, expands the opportunities to integrate their relations into the international economy, as well as improves the management system of social and economic processes at the macro and microeconomic levels. However, there are a number of internal reasons, including the weak legal framework, the unwillingness of many industries to join effective management technologies, as well as ICT, the effective market for goods and services, including a single information infrastructure and e-commerce. Lack of information support: low level of training in the field of creation and use of ICT: obstacles due to shortcomings in the regulation of economic activity when exporting industrial products to domestic and foreign markets: High monopoly within the network service leads to negative consequences. To overcome this problem, it is advisable to approach the assessment of the effectiveness of the use of information technology in an industrial enterprise with fuzzy logic.