New Ranking Approach for Solving Hexagonal Type Fuzzy Assignment Problems Using Branch and Bound Technique.
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| Title: | New Ranking Approach for Solving Hexagonal Type Fuzzy Assignment Problems Using Branch and Bound Technique. |
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| Authors: | Singh, Guman1 guman.202505033@muj.manipal.edu, Rizwanullah, Mohammad2 mohd.rizwanullah@jaipur.manipal.edu, Yadav, Jay Chandra1 jayc.yadav@gmail.com |
| Source: | IAENG International Journal of Applied Mathematics. Feb2026, Vol. 56 Issue 2, p491-495. 5p. |
| Subjects: | Assignment problems (Programming), Fuzzy numbers, Optimization algorithms, Resource allocation, Scheduling |
| Abstract: | The assignment problem (AP) appears in various forms within optimization and graph theory. By modifying certain constraints and incorporating additional ones, the problem can be transformed into routing, distribution, or scheduling challenges. This study applies the branch and bound (BB) method to two types of fuzzy assignment problems (FAP). The first problem deals with costs represented by hexagonal fuzzy numbers, while the second focuses on time, using pentagonal fuzzy numbers. A new ranking approach is introduced to rank these fuzzy numbers. After converting the fuzzy assignment problems into crisp form, they are solved using branch and bound approach. To handle fuzzy assignment problems with qualitative data, linguistic variables are used to translate qualitative information into quantitative data. This approach can apply to practical scenarios like task scheduling, resource allocation and routing problems where uncertainty in costs or times is prevalent. [ABSTRACT FROM AUTHOR] |
| Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 191342786 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: New Ranking Approach for Solving Hexagonal Type Fuzzy Assignment Problems Using Branch and Bound Technique. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Singh%2C+Guman%22">Singh, Guman</searchLink><relatesTo>1</relatesTo><i> guman.202505033@muj.manipal.edu</i><br /><searchLink fieldCode="AR" term="%22Rizwanullah%2C+Mohammad%22">Rizwanullah, Mohammad</searchLink><relatesTo>2</relatesTo><i> mohd.rizwanullah@jaipur.manipal.edu</i><br /><searchLink fieldCode="AR" term="%22Yadav%2C+Jay+Chandra%22">Yadav, Jay Chandra</searchLink><relatesTo>1</relatesTo><i> jayc.yadav@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Applied+Mathematics%22">IAENG International Journal of Applied Mathematics</searchLink>. Feb2026, Vol. 56 Issue 2, p491-495. 5p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Assignment+problems+%28Programming%29%22">Assignment problems (Programming)</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+numbers%22">Fuzzy numbers</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Resource+allocation%22">Resource allocation</searchLink><br /><searchLink fieldCode="DE" term="%22Scheduling%22">Scheduling</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The assignment problem (AP) appears in various forms within optimization and graph theory. By modifying certain constraints and incorporating additional ones, the problem can be transformed into routing, distribution, or scheduling challenges. This study applies the branch and bound (BB) method to two types of fuzzy assignment problems (FAP). The first problem deals with costs represented by hexagonal fuzzy numbers, while the second focuses on time, using pentagonal fuzzy numbers. A new ranking approach is introduced to rank these fuzzy numbers. After converting the fuzzy assignment problems into crisp form, they are solved using branch and bound approach. To handle fuzzy assignment problems with qualitative data, linguistic variables are used to translate qualitative information into quantitative data. This approach can apply to practical scenarios like task scheduling, resource allocation and routing problems where uncertainty in costs or times is prevalent. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 491 Subjects: – SubjectFull: Assignment problems (Programming) Type: general – SubjectFull: Fuzzy numbers Type: general – SubjectFull: Optimization algorithms Type: general – SubjectFull: Resource allocation Type: general – SubjectFull: Scheduling Type: general Titles: – TitleFull: New Ranking Approach for Solving Hexagonal Type Fuzzy Assignment Problems Using Branch and Bound Technique. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Singh, Guman – PersonEntity: Name: NameFull: Rizwanullah, Mohammad – PersonEntity: Name: NameFull: Yadav, Jay Chandra IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19929978 Numbering: – Type: volume Value: 56 – Type: issue Value: 2 Titles: – TitleFull: IAENG International Journal of Applied Mathematics Type: main |
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