THE ROLE OF FUZZY LOGIC METHODS IN ASSESSING THE EFFECTIVENESS OF BUSINESS PROCESSES

Article Sidebar

PDF (Russian)
Published: 25.11.2024
DOI: https://doi.org/10.70769/3030-3214.SRT.2.4.2024.55
Keywords:
fuzzy logic, business processes, fuzzification, defuzzification, term, degree of truth, normalization, Mamdani model

Main Article Content

Mansurova, M.Y.
PhD, доцент кафедры “Информационных технологий и иностранных языков”, Diplomat University, Ташкент, Узбекистан , PhD, "Axborot texnologiyalari va xorijiy tillar" kafedrasi dotsenti, Diplomat University, Toshkent, O‘zbekiston , PhD, Associate Professor of the Department of Information Technologies and Foreign Languages, Diplomat University, Tashkent, Uzbekistan

Abstract

This article the methods of fuzzy logic from the point of view of assessing the effectiveness of the business is analyzes. The range of applications of fuzzy models and methods ranges from enterprise process control to device management. At the same time, fuzzy systems can improve product quality while reducing resource and energy costs, and provide higher resistance to interfering factors. The mathematical theory of fuzzy sets makes it possible to describe fuzzy concepts and knowledge, operating with this knowledge, and to draw fuzzy conclusions. Fuzzy logic provides an effective means of mapping the uncertainties and inaccuracies of the real world. In the course of the study within the framework of this article, the choice of the Mamdani fuzzy logic method for assessing the effectiveness of business processes in automated enterprise business process management systems (ABPMS) is substantiated.

Downloads

Download data is not yet available.

Article Details

Issue

Vol. 2 No. 4 (2024)

Section

Mining, Metallurgy, and Manufacturing Industry
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Public License Terms
(For Open Journal Systems (OJS))

  1. Copyright:
    The copyright of the published article remains with the author(s). However, after publication, the article is distributed on the OJS platform under the Creative Commons (CC BY) license.

  2. License Type:
    This article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This means users can utilize the article under the following conditions:

    • Copy and distribute: The text of the article or its parts can be freely distributed.
    • Quote and analyze: Parts of the article can be used for quoting and analysis.
    • Free use: The article can be freely used for research and educational purposes.
    • Attribution: Users must provide proper attribution and reference to the original source.

  3. Commercial use:
    The article can be used for commercial purposes, provided that authorship and source are properly cited.

  4. Document modification:
    The text or content of the article can be modified or adapted, as long as it does not harm the authorship.

  5. Liability disclaimer:
    The author(s) are responsible for the accuracy of the information contained in the article. The editorial team of the platform is not liable for any damages resulting from the use of this information.

  6. Public usage obligations:
    The content of the article must be used only in accordance with legal and ethical standards. Unauthorized use is strictly prohibited.

Note:
These license terms are designed to ensure transparency and openness in material usage. By accepting these terms, you agree to the adaptation and distribution of the article content under the terms of the Creative Commons license.

Link: Creative Commons Attribution 4.0 International (CC BY 4.0)

How to Cite

Mansurova , M. Y. (2024). THE ROLE OF FUZZY LOGIC METHODS IN ASSESSING THE EFFECTIVENESS OF BUSINESS PROCESSES. Digital Technologies in Industry, 2(4), 95-104. https://doi.org/10.70769/3030-3214.SRT.2.4.2024.55

References

1. Султанова, Б. К. Информационные процессы в системах управления бизнес-процессами предприятия / Б. К. Султанова, А. У. Нурпейсова, Г. У. Макина. — Текст: непосредственный // Молодой ученый. — 2015. — № 20 (100). — С. 82-84.

2. Елиферов, В. Г. Бизнес-процессы: Регламентация и управление: Учебник / В. Г. Елиферов. — М.: НИЦ ИНФРА-М, 2013. Федоров, И. Сравнительный анализ нотаций моделирования бизнес-процессов / И. Федоров // Открытие системы. — 2011. – № 8. — C.28.

3. Ширяев, В. И. Управление бизнес-процессами: учеб.- метод. пособие / В. И. Ширяев. — М.: ФиС, ИНФРА-М, 2009.

4. Kosko В. Fuzzy approximation theorem // IEEE Trans on Computers. 1994. Vol. 43. №11. P. 1329-1333.

5. Пшеничный, С. В. Использование графов для описания модели предприятия при оценке эффективности внедрения ERP-систем. Актуальные вопросы технических наук: материалы III Междунар. науч. конф. — Пермь: Зебра, 2015. — С. 37-41.

6. Yashnarovna, A. A. M. (2022). Mathematical modelling methods of integrated computerised e-business system. Harvard Educational and Scientific Review, 2(1).

7. Abdul-Azalova M. Ya. Issues of Creating an Intelligent Automated Business Process Management System. European Multidisciplinary Journal of “Modern Science”. Volume: 4. –P. 691-697.

8. Абдул-Азалова М.Я. Модели и программные комплексы интегрированной компьютерной системы электронного бизнеса. Монография. УДК:302.506. 2021 г.

9. Muhamediyeva, D., & Abdul-Azalova, M. (2022). Application of the theory of fuzzy logic for analysis of management systems of business processes of an enterprise. Scientific Collection «InterConf+», (22 (113)), -P. 467-471.

10. Muhamediyeva, D., & Abdul-Azalova, M. (2022). Evaluation of the efficiency of the business processes of the enterprise. Scientific Collection «InterConf+», (112), -P. 325-328.

Similar Articles

You may also start an advanced similarity search for this article.