Application of Fuzzy Expert Systems in IT Project Management

Dudnyk, Oleksii; Sokolovska, Zoia

doi:10.5772/intechopen.102439

Cited by 4 publications

(2 citation statements)

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“…A more detailed description of the fuzzy expert system FuzzyKIDE can be found in [19,21], which prove the advantages of using the system in comparison with the classic fuzzy expert systems. Works [19,21] carefully described the structure of the knowledge base, on the basis of which the system is implemented, as well as the technology for using SNePS semantic network. Examples of the use of FuzzyKIDE to support decision-making in the IT portfolio management process are demonstrated within a typical IT company.…”

Section: The Study Materials and Methodsmentioning

confidence: 94%

Forecasting development trends in the information technology industry using fuzzy logic

Dudnyk

Sokolovska

2023

EEJET

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The IT industry occupies a significant place in the economy of the world. Trends in its development directly affect changes in various sectors of the economy. This paper considers the dynamics of IT industry under conditions of increased entropy of the functioning environment caused by crises, military conflicts, non-standard events. The mathematical basis of the study is an apparatus of fuzzy logic. The proposed technique for analyzing and forecasting the state and dynamics of the IT sector makes it possible to take into account the influences of a set of factors of different nature and direction of action, which contributes to obtaining a reasonable assessment under conditions of inaccurate information. The software platform for implementing the methodology is the authentically designed fuzzy expert system (ES) FuzzyKIDE. The conceptual foundations of the platform structure have been defined. A modification of the fuzzy inference mechanism has been proposed, which, unlike existing samples, makes it possible to eliminate saving intermediate results and reduces the load on the database. The composition and structure of the knowledge base (KB) for ES have been proposed. Fuzzy rules are based on predetermined relationships between key factors of influence. The technology of ES operation is represented using simulated scenarios with obtaining predictive results. The analysis of the final data of expert consultations proves the ES operability, providing for the possibility of KB significant expansion in the process of industrial operation. The use of ES is aimed at forming a holistic view of possible directions of IT sector development. Maintaining the actual state of ES KB is a condition for early warning of the emergent negative/crisis phenomena. The FuzzyKIDE expert consulting system is proposed as a tool to support management decision-making based on the analysis and forecasting of the state and dynamics of IT sector under conditions of high uncertainty

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Section: The Study Materials and Methodsmentioning

confidence: 94%

Forecasting development trends in the information technology industry using fuzzy logic

Dudnyk

Sokolovska

2023

EEJET

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“…Прикладами Враховуючи великий рівень невизначеності, що випливає з особливостей управління ІТпроектами та при відсутності чіткої інформації на різних етапах управління проектом сучасні дослідники рекомендують використовувати апарат нечіткої логіки та інтегрувати нечіткі експертні системи у сферу інформаційних технологій [17].…”

Section: де F -цільова функція; CI -коефіцієнти цільової функції; Xi ...unclassified

Modeling Optimization Tasks in It Project Management

Ivchenko,

Mykheliev,

Farionova

et al. 2024

ELTECS

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Abstract. The article focuses on exploring mathematical models for optimizing business processes in project management within IT companies in the context of contemporary trends and challenges. Project management involves the process of guiding and coordinating people's activities, as well as managing material and financial resources throughout the project's lifecycle. This process encompasses applying modern management methods and techniques to achieve project goals. The dynamic allocation modeling of IT projects among teams to ensure high-quality development at maximum efficiency with minimal costs is a pertinent task in IT project management. The article's objective is to select a mathematical framework for decision-making regarding the optimal IT project management program to enhance the efficiency of each IT team and the entire IT company. The research involved an analysis of scientific literature on modeling project management in IT companies. The article proposes focusing on developing dynamic multi-criteria optimization models for human resource management, emphasizing the distribution of IT projects among executing teams. The research aims to elevate the strategic and operational levels of IT personnel management to achieve optimal outcomes in information technology. The analysis concludes that despite the advantages of various mathematical modeling methods, none of them in isolation allows for constructing a sufficiently detailed mathematical model. Methods and models addressing IT enterprise modeling problems may oversimplify the issue or, conversely, overly complicate it, complicating the selection of input data. The functioning of the IT enterprise was analyzed through the lens of external and internal indicators concerning the solved task. A verbal model of IT project distribution among teams, considering the time factor, was developed. This model formulated a system of basic concepts and ideas, allowing the dynamic formulation of the problem using widely accepted linear optimization models. This will facilitate finding optimal solutions for IT project distribution tasks over a specific period. Future research should focus on selecting a solution method for the model and implementing the constructed mathematical model using appropriate tools. The research findings presented can serve as a basis for further academic exploration and practical application in the field of IT project management. Keywords: modeling, optimization, business processes, project management, labor resources, IT projects.

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