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Intuitionistic Fuzzy Capital Budgeting Problem Using Non-Linear Programming: Wallbox Fast Charging OEM Application

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dc.contributor.authorHaktanir, Elif
dc.date.accessioned2026-06-27T15:05:32Z
dc.date.issued2023
dc.description.abstractCapital budgeting is the selection of independent investment alternatives to maximize profits under a certain budget constraint. Initial investment cost, annual cash flows, interest rate and budget limit are investment parameters that involve uncertainty in real life. These parameters can be defined as a range, and their memberships and non-memberships to a fuzzy set can be specified. In this article, the capital budgeting problem is modeled as a 0-1 non-linear programming problem using intuitionistic fuzzy set theory. The validation of the model is demonstrated with a Wall -box Fast Charging OEM application problem. The sensitivities of the model parameters on the decision were also examined.en
dc.identifier.eissn1542-3999
dc.identifier.endpage461
dc.identifier.issn1542-3980
dc.identifier.issue3-5
dc.identifier.startpage441
dc.identifier.urihttps://hdl.handle.net/20.500.14981/67811
dc.identifier.volume41
dc.identifier.wos001110345900011
dc.language.isoeng
dc.publisherOLD CITY PUBLISHING INC
dc.relation.ispartofJOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING
dc.subjectIntuitionistic fuzzy sets
dc.subjectcapital budgeting
dc.subjectnon-linear programming
dc.subjectindependent projects
dc.subjectpresent worth
dc.subjectMULTIATTRIBUTE DECISION-MAKING
dc.subjectOPTIMIZATION
dc.subjectMETHODOLOGY
dc.subjectComputer Science
dc.subjectScience & Technology - Other Topics
dc.titleIntuitionistic Fuzzy Capital Budgeting Problem Using Non-Linear Programming: Wallbox Fast Charging OEM Application
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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