Results 111 to 120 of about 362 (150)
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Fuzzy mathematical models in economics

Fuzzy Sets and Systems, 1988
This paper is a survey of three fuzzy mathematical models dealing with economic choice, economic calculation and general economic equilibrium. They are the elements of a fuzzy theory of value. The aim is to test the efficiency of the application of fuzzy subsets theory to the analysis of the foundations of economics and thus to legitimate its use in ...
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CONSTRUCTION OF MATHEMATICAL MODELS USING POLYNOMIAL FUNCTIONS AND MATRIX CALCULUS USING SYSTEMS OF FUZZY LINEAR EQUATIONS IN SOLVING ECONOMIC PROBLEMS

SOFT MEASUREMENTS AND COMPUTING, 2023
A large number of tasks in the economy are aimed at processing little formalized data. These can be tasks of analysis, planning, forecasting in the economy. The solution of these problems is reduced to the formalization of the data flow into a functional dependence.
Zulfira F. Sadykova, Vladimir A. Abaev
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A fuzzy mathematical model for the joint economic lot size problem with multiple price breaks

European Journal of Operational Research, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lam, S. Monica, Wong, Danny S.
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The impact of petrochemical industry economic activities on environmental factors using a fuzzy mathematical programming model

2022
Due to the nature of activities and processes, the petrochemical industry causes the production of industrial effluents, emissions and wastes that have adverse effects on the environment. The purpose of this study is to investigate the effect of petrochemical economic activities on environmental factors.
Vadian, Abdolkhalegh   +3 more
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Multi-objective fuzzy mathematical modelling of closed-loop supply chain considering economical and environmental factors

Annals of Operations Research, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Anil Jindal, Kuldip Singh Sangwan
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Transformation of Mathematical Methods for Assessing the State of Economic Systems in Digitalization Based on the Theory of Fuzzy Sets (Review)

2021
In the article, we analyzed existing methods for assessing the state of complex economic systems using the example of assessing their sustainable development. The analysis includes two parts. The first part is devoted to the classification of existing methods for assessing the stability of the economic system by the number of model parameters, as well ...
G. Akperov Imran, Sakharova Lyudmila
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Quantitative analysis of regional economic indicators prediction based on grey relevance degree and fuzzy mathematical model

Journal of Intelligent & Fuzzy Systems, 2019
Macroeconomics is a very complex and huge system. With the improvement of China’s market economy, it is of great theoretical significance and practical value to apply quantitative economics methods and models to study the macroeconomic state and forecast the economic development trend.
Yu Wang, Huafeng Wang
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Mathematical Modeling of Economic Order Quantity in a Fuzzy Inventory Problem Under Shortages

2018
The purpose of this article is to develop an EOQ model to find the optimal order quantity of inventory items where shortages are allowed. Here shortages are uncertain and characterized by triangular fuzzy number and all other parameters like carrying costs, ordering cost, demand and time are considered as crisp numbers.
P. K. De, A. C. Paul, Mitali Debnath
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Application of Methods of Fuzzy Mathematics and Operations Research in Economic Scheduling of Hydro-thermal Power System

IFAC Proceedings Volumes, 1989
Abstract In this paper we propose the economic scheduling problem of hydro-thermal power system including cascade hydro power stations and build the mathematical model or optimal unit commitment and active power dispatch, derive an efficient algorithm for its approximate linear integer programming.we decompose the power plants into two classes using ...
Duan Yu Rong, Wang Yong, Yang Dan
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Optimization of steel demand forecasting with complex and uncertain economic inputs by an integrated neural network–fuzzy mathematical programming approach

The International Journal of Advanced Manufacturing Technology, 2012
This study presents an integrated approach to optimize steel consumption forecasting. The unique nature of this approach lies in the integration of the artificial neural network (ANN), fuzzy linear regression (FLR), and conventional linear regression (CLR) approaches.
A. Azadeh   +3 more
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