APPLICATION OF WEIGHT MEASURE ORDERING FOR INTUITIONISTIC FUZZY CRITICAL PATH ANALYSIS.

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Bibliographic Details
Title:	APPLICATION OF WEIGHT MEASURE ORDERING FOR INTUITIONISTIC FUZZY CRITICAL PATH ANALYSIS.
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]
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Database:	Engineering Source

Description
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]
ISSN:	19322321