Annotation: This article presents an expert system developed based on fuzzy logic for evaluating the performance of university teachers. Unlike traditional evaluation methods, the system performs assessments by taking into account uncertain and subjective data. It was developed in the Python programming environment using the Mamdani approach and offers the capability to display results through 3D visualization. The research findings demonstrate that the fuzzy logic-based system enables a fairer and more realistic evaluation of teachers’ performance.
| Mualliflar | Nasiriddinov, Alouddin |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2025-03-23 |
| Son | 1 |
| Betlar | 87-91 |
| Til | Rus |
Ключевые слова: нечеткая логика (Fuzzy Logic), оценка деятельности преподавателей, экспертная система, преподаватели университетов, подход Мамдани, среда Python, 3D-визуализация, субъективные данные, справедливая оценка, высшие учебные заведения., Keywords: fuzzy logic, teacher performance evaluation, expert system, university teachers, Mamdani approach, Python environment, 3D visualization, subjective data, fair evaluation, higher education institutions., Kalit so‘zlar: noravshan mantiq (Fuzzy Logic), o‘qituvchilar faoliyatini baholash, ekspert tizimi, universitet o‘qituvchilari, Mamdani yondashuvi, Python muhiti, 3D vizualizatsiya, subyektiv maʼlumotlar, adolatli baholash, oliy ta’lim muassasalari.
As the complexity of ICS increases, security concerns also grow. Anomalies may indicate failures or cyberattacks, making early detection crucial. Traditional statistical and threshold-based methods are ineffective in…
Abstract: This article discusses the development of an automated system for selecting fabrics, taking into account the technical capabilities of equipment for the production of patterned fabrics. The methodology for…
This article provides an in-depth analysis of advanced algorithms for automatic object detection and classification in video imagery. The rapid advancements in artificial intelligence and deep learning have…
The rise of virtual exams has introduced new challenges in maintaining academic integrity, particularly in detecting collaborative cheating. In this study, we propose a novel framework that combines Graph Neural…
This article provides an overview of automated clinic systems and their main types. The importance of automation in healthcare lies in improving service quality, streamlining processes, and saving time. The article…
Improving the energy efficiency of Internet of Things (IoT) devices is of great importance. This article proposes an adaptive algorithm that automatically regulates the data transmission interval in accordance with the…
Abstract: The article presents a comparative analysis of the digitalization process using the example of the world's leading libraries, including the Library of Congress of the United States, the British Library, the…
This article discusses the design of a dynamic document template generation system based on existing documents and rule-based mechanisms. Methods of automating document workflows and generating flexible document…
The article studies the business cycle model for e-commerce companies in the development of the e-commerce sector, the changes in its stages under the influence of IT, the stages of the commercial cycle of companies in…
The article describes the factors that determine energy losses and the efficiency of high-power transformers, as well as an analysis of the reasons for their occurrence. Based on the analysis, the efficiency of the…