A comparison of fuzzy methods for modeling

Aras, Ayse Cisel; Kaynak, Okyay; Batyrshin, Ildar

doi:10.1109/iecon.2008.4757927

Cited by 10 publications

(5 citation statements)

References 5 publications

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“…This is related to the nature of certain constraints when selecting projects (considerable difficulty of their quantitative estimation) and to the desire of experts and decision-makers to operate verbal estimates. Paper [12] examined the existing and proposed new approaches of using fuzzy logic in modeling. The fuzzy approach seems a promising direction, allowing modeling the uncertainty of verbal expert estimates of the model parameters, future results of projects implementation and possible risks based on representation of parameters and functional dependencies in the form of fuzzy numbers [13][14][15].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Devising a fuzzy stakeholder model for optimizing the portfolio of projects at a fishing industrial enterprise taking risks into account

Likhosherst

Mazelis

Солодухин

2019

EEJET

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Запропоновано метод портфельного iнвестування, що дозволяє формувати оптимальну структуру портфеля з урахуванням ступенiв задоволеностi запитiв груп зацiкавлених сторiн, ризикiв i невизначеностi зовнiшнього i внутрiшнього середовища. Розглянуто модель, що представляє собою задачу нечiткого нелiнiйного програмування. В якостi цiльової функцiї використовується зважене середнє корисностей проектiв. Корисностi проектiв являють собою мультиплiкативнi функцiї типу Кобба-Дугласа, що використовують поряд з фiнансовими показниками експертнi вербальнi оцiнки якiсних показникiв задоволеностi запитiв стейкхолдерiв, перетворенi в нечiткi числа. Показники ступенiв в данiй функцiї вiдображають важливiсть стейкхолдерiв для органiзацiї з точки зору iснуючого ресурсного обмiну мiж компанiєю та стейкхолдером i ступеня взаємного впливу. Кiлькiсний облiк ризикiв здiйснюється на основi пiдходу Г. Марковiца i методу сценарiїв. Невизначенiсть i недолiк iнформацiї для показника економiчної ефективностi проектiв моделюється за допомогою використання нечiтко-множинного пiдходу. Обмеження в моделi також нечiткi. Перехiд вiд нечiткої задачi оптимiзацiї до чiткої проводиться шляхом завдання рiвнiв достовiрностi для цiльової функцiї i обмежень. Вибiр певного рiвня достовiрностi також дозволяє в деякiй мiрi враховувати невизначенiсть, що, в свою чергу, впливає на склад портфеля. Рiшення моделi знаходиться чисельно з використанням запропонованого методу, що дозволяє на основi нечiтких корисностей знаходити нечiтку цiльову функцiю та обмеження, i переводити нечiтку модель в чiтке завдання квадратичного програмування при заданих рiвнях достовiрностi. Розглянуто приклад формування оптимального портфеля iнвестицiйних проектiв рибопромислового пiдприємства Ключовi слова: оптимiзацiя портфеля проектiв, облiк запитiв стейкхолдерiв, функцiя корисностi, нечiтка модель UDC 65.

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Devising a fuzzy stakeholder model for optimizing the portfolio of projects at a fishing industrial enterprise taking risks into account

Likhosherst

Mazelis

Солодухин

2019

EEJET

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“…Special focus should be directed toward the consideration of environmental uncertainties and incomplete information. Aras et al (2008) consider the use of fuzzy logic for modeling social and economic processes. The fuzzy set approach is viewed as a promising direction, which allows the modeling of uncertainties of verbal expert estimates of model parameters and potential risks by representing parameters and functional dependencies in the form of fuzzy numbers (Carlsson et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Approach for the Formation of an Optimal Portfolio of Strategic Projects to Achieve Regional Development Targets in the Digital Economy

Mazelis¹,

Lavrenyuk²,

Krasko³

2020

IJTech

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“…Special focus should be paid to the consideration of environmental uncertainties and incomplete information that are associated with the nature of certain constraints in the formation of the investment structure and the desire of experts and decision-makers to handle verbal estimates. For example, reference [17] evaluates the existing and new approaches for the use of fuzzy logic in modeling social and economic processes. The fuzzy set approach is seen as a promising direction that allows to model the uncertainties of verbal expert estimates of the model parameters and potential risks based on the representation of parameters and functional dependencies in the form of fuzzy numbers [18].…”

Section: Introductionmentioning

confidence: 99%

Development of a Fuzzy Dynamic Model for the Formation of the Optimal Allocation of Financial Resources for the Maximum Development of Regional Human Capital

Mazelis¹,

Lavrenyuk²,

Krasko³

et al. 2020

Proceedings of the “New Silk Road: Business Cooperation and Prospective of Economic Development” (NSRBCPED 2019)

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Currently, human capital is one of the crucial factors in the sustainable development of the region; an increase in the level of human capital is an essential priority that allows to timely achieve the strategic goals of social and economic development. In this study, the issue of the optimal allocation of public financial resources that directly or indirectly affect the development of human capital was addressed. An economicmathematical model is proposed, the objective function of which is an integrated index that takes into account the degrees of achievement of strategic objectives for the development of human capital. The functional dependencies of human capital performance upon investments are represented by regression equations with lag 2. The model is a fuzzy mathematical programming problem in which the uncertainty and lack of information is modeled using a fuzzy set approach. The transition from a fuzzy optimization problem to a crisp one was performed by setting confidence levels for the objective function and constraints. For several regions of the Russian Federation, the examples of the formation of the optimal structure of public investment, which allows to obtain the maximum progress towards achieving targets in the field of human capital development, were considered over time by years for a given planning period.

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A comparison of fuzzy methods for modeling

Cited by 10 publications

References 5 publications

Devising a fuzzy stakeholder model for optimizing the portfolio of projects at a fishing industrial enterprise taking risks into account

Devising a fuzzy stakeholder model for optimizing the portfolio of projects at a fishing industrial enterprise taking risks into account

Fuzzy Approach for the Formation of an Optimal Portfolio of Strategic Projects to Achieve Regional Development Targets in the Digital Economy

Development of a Fuzzy Dynamic Model for the Formation of the Optimal Allocation of Financial Resources for the Maximum Development of Regional Human Capital

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