APPLICATION OF WEIGHT MEASURE ORDERING FOR INTUITIONISTIC FUZZY CRITICAL PATH ANALYSIS.
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| Title: | APPLICATION OF WEIGHT MEASURE ORDERING FOR INTUITIONISTIC FUZZY CRITICAL PATH ANALYSIS. |
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| Authors: | PRIYADHARSHINI, S.1 priyaseenuvasan2719@gmail.com, DEEPA, G.1 deepa.g@vit.ac.in, RAMPRASATH, S.2 ramprasath2902@gmail.com |
| Source: | Reliability: Theory & Applications. Sep2025, Vol. 20 Issue 3, p78-89. 12p. |
| Subjects: | Critical path analysis, Project management, Units of measurement, Fuzzy numbers, Fuzzy logic, Algorithms |
| Abstract: | The intuitionistic fuzzy critical path problem is a frequent and important challenge in network optimization, particularly in the planning and management of complex projects. However, the traditional critical path approach often fails to accurately reflect real-world scenarios. To address this, we have developed a critical path strategy within an intuitionistic fuzzy framework. In this study, the critical path is determined using a ranking algorithm, where the edge weights are modeled as triangular intuitionistic fuzzy numbers (ITFN). We have introduced definitions for ranking strategies that help identify the intuitionistic fuzzy critical path. Additionally, a proposed criticality degree measures that significance of each activity. Examples are provided to illustrate the proposed strategy, and the simulation results of the ranking techniques are also presented. [ABSTRACT FROM AUTHOR] |
| Copyright of Reliability: Theory & Applications is the property of International Group on Reliability 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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| Items | – Name: Title Label: Title Group: Ti Data: APPLICATION OF WEIGHT MEASURE ORDERING FOR INTUITIONISTIC FUZZY CRITICAL PATH ANALYSIS. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22PRIYADHARSHINI%2C+S%2E%22">PRIYADHARSHINI, S.</searchLink><relatesTo>1</relatesTo><i> priyaseenuvasan2719@gmail.com</i><br /><searchLink fieldCode="AR" term="%22DEEPA%2C+G%2E%22">DEEPA, G.</searchLink><relatesTo>1</relatesTo><i> deepa.g@vit.ac.in</i><br /><searchLink fieldCode="AR" term="%22RAMPRASATH%2C+S%2E%22">RAMPRASATH, S.</searchLink><relatesTo>2</relatesTo><i> ramprasath2902@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Reliability%3A+Theory+%26+Applications%22">Reliability: Theory & Applications</searchLink>. Sep2025, Vol. 20 Issue 3, p78-89. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Critical+path+analysis%22">Critical path analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Project+management%22">Project management</searchLink><br /><searchLink fieldCode="DE" term="%22Units+of+measurement%22">Units of measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+numbers%22">Fuzzy numbers</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+logic%22">Fuzzy logic</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The intuitionistic fuzzy critical path problem is a frequent and important challenge in network optimization, particularly in the planning and management of complex projects. However, the traditional critical path approach often fails to accurately reflect real-world scenarios. To address this, we have developed a critical path strategy within an intuitionistic fuzzy framework. In this study, the critical path is determined using a ranking algorithm, where the edge weights are modeled as triangular intuitionistic fuzzy numbers (ITFN). We have introduced definitions for ranking strategies that help identify the intuitionistic fuzzy critical path. Additionally, a proposed criticality degree measures that significance of each activity. Examples are provided to illustrate the proposed strategy, and the simulation results of the ranking techniques are also presented. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Reliability: Theory & Applications is the property of International Group on Reliability 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: 12 StartPage: 78 Subjects: – SubjectFull: Critical path analysis Type: general – SubjectFull: Project management Type: general – SubjectFull: Units of measurement Type: general – SubjectFull: Fuzzy numbers Type: general – SubjectFull: Fuzzy logic Type: general – SubjectFull: Algorithms Type: general Titles: – TitleFull: APPLICATION OF WEIGHT MEASURE ORDERING FOR INTUITIONISTIC FUZZY CRITICAL PATH ANALYSIS. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: PRIYADHARSHINI, S. – PersonEntity: Name: NameFull: DEEPA, G. – PersonEntity: Name: NameFull: RAMPRASATH, S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19322321 Numbering: – Type: volume Value: 20 – Type: issue Value: 3 Titles: – TitleFull: Reliability: Theory & Applications Type: main |
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