https://jaisis.khatam.ac.ir/ Journal of Applied Intelligent Systems and Information Sciences en daily 1 Sat, 08 Mar 2025 00:00:00 +0330 Sat, 08 Mar 2025 00:00:00 +0330 https://jaisis.khatam.ac.ir/article_216879.html One of the problems of pharmaceutical companies is preventing the release of counterfeit drugs to the market during the period of drug use. Counterfeit drugs are considered as a very big challenge for pharmaceuticals all over the world. Therefore, it can be said that the pharmaceutical industry suffers from lack of transparency, problem of product tracking, lack of trust and shipment of expired products. Drug tracking should be implemented in such a way that it is economical in terms of the security of the executive network and the absence of human intervention. Drug tracking in the blockchain network platform is a potential solution to create a common platform for an immutable, reliable, accountable and transparent system. In this article, using the blockchain network, the design of a smart contract on the platform of the blockchain network has been discussed and an attempt has been made to present a real model of the drug supply contract to the customers. From the results of this article, we can mention drug safety and cost reduction. https://jaisis.khatam.ac.ir/article_218327.html With the rapid expansion of information technology and its widespread applications, organizations have become increasingly reliant on IT, and the technologies they use have grown more complex. This has made managing IT and related services within organizations more challenging. In the banking sector, the development of IT-based services, such as electronic banking, has increased the need for effective methods to evaluate and enhance the quality of these services. This study proposes a comprehensive model for more accurate measurement of electronic banking service quality. Through an extensive literature review and consultation with experts, we identified and analyzed key factors affecting service quality. Given that customer satisfaction is recognized as a critical success factor in the banking industry, this research employs a Fuzzy Inference System (FIS) to analyze and model customer satisfaction data. By analyzing data collected from customers, the fuzzy model can predict satisfaction levels based on factors such as service awareness, service usability, and awareness. Comparative results indicate that the proposed fuzzy inference system improves customer satisfaction prediction accuracy by 15% compared to similar models. The findings of this study are expected to contribute to improved banking service quality and increased customer satisfaction.