10.30495/fomj.2023.1988350.1093

Fuzzy Analysis of the Influence of Factors on the Integration of Telecommunication Technology Infrastructure Using ANFIS

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  • Reza Talebi*1,
  • Abbas Khamseh2,
  • Mohammadhassan Cheraghali3,
  1. Department of Technology Management, Roudehen Branch, Islamic Azad University, Roudehen, Iran
  2. Department of Industrial Management, Karaj Branch, Islamic Azad University, Karaj, Iran
  3. Department of Industrial Management, South Tehran Branch, Islamic Azad University, Tehran, Iran

Revised: 2023-02-09

Accepted: 2023-03-20

Published in Issue 2023-04-01

How to Cite

Talebi, R., Khamseh, A., & Cheraghali, M. (2023). Fuzzy Analysis of the Influence of Factors on the Integration of Telecommunication Technology Infrastructure Using ANFIS. Fuzzy Optimization and Modeling Journal (FOMJ), 4(1), 57-71. https://doi.org/10.30495/fomj.2023.1988350.1093
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Abstract

The issue of integration in different industries is very important and brings many benefits at different economic and social levels. Given the size of the telecommunications industry, this industry is no exception to this rule and the integration of telecommunications infrastructure creates a lot of added value. But the interactions between tangible and intangible indicators have emerged by doing so, which policymakers must consider. Our goal is to study the integration of telecommunications infrastructure and study its interactions on factors identified by experts and then verified. To achieve the correct result, after collecting the opinions of industry experts, using the fuzzy Delphi method and after the steps of this method, the effective factors were examined and the basic indicators that should be considered were identified and ranked. Classified. Then, in order to determine the effect of each of the indicators on the integration of telecommunication technology infrastructure, by combining fuzzy logic and the formation of a neural network through the mathematical method of Enfis, the extent and how the effect of all factors was examined. These results are a new approach in the telecommunications industry and design an innovative model for this industry.
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