Results 1 to 10 of about 362 (150)

Using fuzzy mathematics for decision making in economics [PDF]

Skola biznisa, 2012
Traditionally, economic models are based on classical mathematics and Aristotelian two-valued logic. Nevertheless, fuzzy mathematics, as a tool for modeling some types of uncertainties and incomplete phenomena, is a more appropriate framework for modeling in economics.
Ivan Pavkov, Miloš Japundžić
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Social and Economic Value Evaluation of Water Resource Based on Fuzzy Mathematics and Emergy Theory [PDF]

, 2021
Water resources is one of the important drivers of socio-economic development, but the value of water resources in society is not clear. In order to accurately describe the impact of water resources on socio-economic value, a socio-economic value evaluation index system for water resources is established.
Xiang Xu, Yongqiang Wang, Kai Li, Junsong Xin   +3 more
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Economic Order Quantity Model-Based Optimized Fuzzy Nonlinear Dynamic Mathematical Schemes

Computational Intelligence and Neuroscience, 2022
Fuzzy mathematics-informed methods are beneficial in cases when observations display uncertainty and volatility since it is of vital importance to make predictions about the future considering the stages of interpreting, planning, and strategy building.
Kalaiarasi Kalaichelvan, Nasreen Kausar, Sajida Kousar, Yeliz Karaca, Dragan Pamucar, Mohammed Abdullah Salman   +5 more
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Economic-mathematical model for complex risk assessment of the enterprise investment project using fuzzy logic [PDF]

SHS Web of Conferences, 2021
The article proposes an economic-mathematical model for determining a comprehensive risk assessment of the investment project of the enterprise which are based on the approaches of A. Nedosekin. The model is built using fuzzy logic and takes into account the probability of occurrence of each of the identified risks and the level of impact of each of ...
Chaikovska Inna, Hryhoruk Pavlo, Chaikovskyi Maksym   +2 more
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Fuzzy economic and mathematical models for planning of the technological systems' classes operation

Problemi ekonomìki transportu, 2016
Цель. Статья посвящена вопросам совершенствования экономико-математических моделей планирования оптимального распределения заказов на обслуживание. В ней исследованы процессы эксплуатации нескольких классов технических систем с учетом условий неопределенности.
Pshinko, O., Skalozub, V.
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Formation of the causal field of indicators for an organization’s intellectual capital development: A concept and a fuzzy economic and mathematical model

Business Informatics, 2023
      The development of intellectual capital theory through the introduction of the concept of implicitness involves considering intellectual capital as an implicit factor, so that the process of its formation is largely determined by the impact of specific hidden factors whose impact is expressed implicitly and is difficult to formalize.
Georgij S. Zavalin, Olga V. Nedoluzhko, Konstantin S. Solodukhin   +2 more
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Economic Management Analysis and Modeling of Rural Economic Development based on Fuzzy Mathematics Theory

WSEAS TRANSACTIONS ON SYSTEMS
The importance of agricultural production has gradually increased, and the requirements for agricultural economic development have become more and more refined. Agricultural economic management and rural economic development as a complex giant system, and how the two promote each other are related.
Liang Yin, Mengze Zhang
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Fuzzy Time Series Modeling for Predicting Economic Trends: A Mathematical Exploration

Journal of Posthumanism
In fact, this research investigates the potential use of FTS models for economic indicators prediction in the Asian area, particularly the GDP growth. However, traditional forecasting approaches tend to fail to represent the uncertainty and nonlinearity of the economic data, especially in crisis periods.
Yogeesh N, Suleiman Ibrahim Shelash Mohammad, Khaleel Ibrahim Al- Daoud, N Raja, Hanumantha Reddy D T, P. William, Asokan Vasudevan, Muhammad Turki Alshurideh   +7 more
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Fuzzy Clustering for Economic Data Mining: Mathematical Algorithmic Interpretations

Journal of Posthumanism
Fuzzy clustering techniques represent a natural extension of traditional clustering methodologies that have been developed to more accurately model uncertainty and imprecision in economic datasets. We argue that fuzzy clustering is well-suited to tackle many real-world economic problems, including, but not limited to, market segmentation and economic ...
Faisal Asad Farid Aburub, Yogeesh N, Suleiman Ibrahim Shelash Mohammad, N Raja, Lingaraju Lingaraju, P. William, Asokan Vasudevan, Mohammad Faleh Ahmmad Hunitie   +7 more
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STRUCTURING REGIONAL TV CHANNEL AUDIENCE PREFERENCES ON THE BASIS OF THE FUZZY-LOGIC DECISION TREE ECONOMIC AND MATHEMATICAL MODEL

Вестник Пермского университета. Серия «Экономика» = Perm University Herald. ECONOMY, 2017
The domestic media market is geographically concentrated. Federal channels own a significant share of TV viewers, leaving regional and local broadcasters a small part of it. To involve viewers in interaction with the media environment, companies embark on a race for the quality and interactivity of television.
Railya Khurmatovna Bakhitova, Dmitrii Vasil'evich Polupanov, Il'shat Yakhievich Islamov   +2 more
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