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Neutrosophic compromise programming approach for multiobjective nonlinear transportation problem with supply and demand following the exponential distribution

100%
ADHAMI A. Y., FAIZAN M., M A.
Operations Research and Decisions
|
2022
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vol. 32
|
issue 3
1-15
EN
Decision-making is a tedious and complex process. In the present competitive scenario, any incorrect decision may excessively harm an organization. Therefore, the parameters involved in the decision-making process should be looked into carefully as they may not always be of a deterministic nature. In the present study, a multiobjective nonlinear transportation problem is formulated, wherein the parameters involved in the objective functions are assumed to be fuzzy and both supply and demand are stochastic. Supply and demand are assumed to follow the exponential distribution. After converting the problem into an equivalent deterministic form, the multiobjective problem is solved using a neutrosophic compromise programming approach. A comparative study indicates that the proposed approach provides the best compromise solution, which is significantly better than the one obtained using the fuzzy programming approach.
2
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Wykorzystanie podejścia rozmytego do konstrukcji wskaźników oceny stanu przedsiębiorstwa

100%
Rozenberg L.
Informatyka Ekonomiczna
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2014
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issue 1(31)
384-394
EN
The paper shows an original approach concept to the problem of determining the current state of company finance, based on a theory similar to the Austrian economic school, supplemented by fuzzy approach. The article presents the analysis offering an original approach to solve the problem as well as a discussion and initial verification of such an approach.
3
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Monetary poverty in Poland – a fuzzy approach

86%
Ulman P.
Śląski Przegląd Statystyczny
|
2020
|
issue 18 (24)
219-234
EN
Poverty is still a current social issue in Poland and other countries. Due to the lack of one universally accepted definition of poverty, there are many ways to identify and measure poverty. In addition to the classic approach to identifying poor units, a fuzzy approach is also used. The aim of the article is to analyze the problem of monetary poverty in Poland in the IFR (Integrated, Fuzzy and Relative) approach using data from the Household Budget Survey, in which the risk of poverty is assessed on the basis of the cumulative distribution function of the income or expenditure and the value of Lorenz’s function. In the article, these two functions were determined on the basis of one of the theoretical distributions (the Dagum distribution). This approach allowed for the estimation of the parameters of the conditional theoretical distribution due to the characteristics of households. This provided the opportunity to determine the factors determining the risk of poverty in Poland.
PL
Ubóstwo ciągle jest aktualną kwestią społeczną zarówno w Polsce, jak i w innych państwach. Z powodu braku jednej akceptowalnej powszechnie definicji ubóstwa istnieje wiele sposobów jego rozumienia, identyfikacji i pomiaru. Poza klasycznym podejściem do identyfikacji jednostek ubogich wykorzystuje się także podejście rozmyte. Celem artykułu jest analiza problemu ubóstwa monetarnego w Polsce w podejściu IFR przy wykorzystaniu danych z badania budżetów gospodarstw domowych, na podstawie których stopień zagrożenia ubóstwem ocenia się, bazując na dystrybuantach rozkładu dochodów lub wydatków oraz wartości funkcji Lorenza. W artykule te dwie funkcje będą określone na podstawie jednego z teoretycznych rozkładów (rozkładu Daguma). Takie podejście pozwala na oszacowanie parametrów warunkowego rozkładu teoretycznego ze względu na charakterystyki gospodarstw domowych. Daje to możliwość określenia czynników determinujących stopień zagrożenia ubóstwem w Polsce.
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