Using Metric Distance Ranking Method to Find Intuitionistic Fuzzy Critical Path

Network analysis is a technique which determines the various sequences of activities concerning a project and the project completion time. The popular methods of this technique which is widely used are the critical path method and program evaluation and review techniques. The aim of this paper is to...

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Main Authors: P. Jayagowri, G. Geetharamani
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2015/952150
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author P. Jayagowri
G. Geetharamani
author_facet P. Jayagowri
G. Geetharamani
author_sort P. Jayagowri
collection DOAJ
description Network analysis is a technique which determines the various sequences of activities concerning a project and the project completion time. The popular methods of this technique which is widely used are the critical path method and program evaluation and review techniques. The aim of this paper is to present an analytical method for measuring the criticality in an (Atanassov) intuitionistic fuzzy project network. Vague parameters in the project network are represented by (Atanassov) intuitionistic trapezoidal fuzzy numbers. A metric distance ranking method for (Atanassov) intuitionistic fuzzy numbers to a critical path method is proposed. (Atanassov) Intuitionistic fuzzy critical length of the project network is found without converting the (Atanassov) intuitionistic fuzzy activity times to classical numbers. The fuzzified conversion of the problem has been discussed with the numerical example. We also apply four different ranking procedures and we compare it with metric distance ranking method. Comparison reveals that the proposed ranking method is better than other raking procedures.
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spelling doaj-art-217e64ea65c94e2aaf7ce16a5ed7e73d2025-08-20T03:54:42ZengWileyJournal of Applied Mathematics1110-757X1687-00422015-01-01201510.1155/2015/952150952150Using Metric Distance Ranking Method to Find Intuitionistic Fuzzy Critical PathP. Jayagowri0G. Geetharamani1Department of Mathematics, Sudharsan Engineering College, Tamil Nadu 622501, IndiaDepartment of Mathematics, Anna University Chennai, BIT Campus, Tamil Nadu 620024, IndiaNetwork analysis is a technique which determines the various sequences of activities concerning a project and the project completion time. The popular methods of this technique which is widely used are the critical path method and program evaluation and review techniques. The aim of this paper is to present an analytical method for measuring the criticality in an (Atanassov) intuitionistic fuzzy project network. Vague parameters in the project network are represented by (Atanassov) intuitionistic trapezoidal fuzzy numbers. A metric distance ranking method for (Atanassov) intuitionistic fuzzy numbers to a critical path method is proposed. (Atanassov) Intuitionistic fuzzy critical length of the project network is found without converting the (Atanassov) intuitionistic fuzzy activity times to classical numbers. The fuzzified conversion of the problem has been discussed with the numerical example. We also apply four different ranking procedures and we compare it with metric distance ranking method. Comparison reveals that the proposed ranking method is better than other raking procedures.http://dx.doi.org/10.1155/2015/952150
spellingShingle P. Jayagowri
G. Geetharamani
Using Metric Distance Ranking Method to Find Intuitionistic Fuzzy Critical Path
Journal of Applied Mathematics
title Using Metric Distance Ranking Method to Find Intuitionistic Fuzzy Critical Path
title_full Using Metric Distance Ranking Method to Find Intuitionistic Fuzzy Critical Path
title_fullStr Using Metric Distance Ranking Method to Find Intuitionistic Fuzzy Critical Path
title_full_unstemmed Using Metric Distance Ranking Method to Find Intuitionistic Fuzzy Critical Path
title_short Using Metric Distance Ranking Method to Find Intuitionistic Fuzzy Critical Path
title_sort using metric distance ranking method to find intuitionistic fuzzy critical path
url http://dx.doi.org/10.1155/2015/952150
work_keys_str_mv AT pjayagowri usingmetricdistancerankingmethodtofindintuitionisticfuzzycriticalpath
AT ggeetharamani usingmetricdistancerankingmethodtofindintuitionisticfuzzycriticalpath