Sensitivity analysis using fuzzy linguistic hedges

This paper proposed a new sensitivity analysis approach using the linguistic hedges in fuzzy environment. At the first place, the linguistic hedge was briefly described with emphasis on the two types, namely concentration and dilation. Afterwards the power of concentration or dilation was employ...

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Main Authors: Zamali, T., Lazim, M. A., Md Tap, Abu Osman
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
Online Access:http://irep.iium.edu.my/29246/
http://irep.iium.edu.my/29246/
http://irep.iium.edu.my/29246/1/Sensitivity_Analysis_using_Fuzzy_Linguistic_Hedges.pdf
id iium-29246
recordtype eprints
spelling iium-292462013-03-01T01:38:18Z http://irep.iium.edu.my/29246/ Sensitivity analysis using fuzzy linguistic hedges Zamali, T. Lazim, M. A. Md Tap, Abu Osman QA75 Electronic computers. Computer science This paper proposed a new sensitivity analysis approach using the linguistic hedges in fuzzy environment. At the first place, the linguistic hedge was briefly described with emphasis on the two types, namely concentration and dilation. Afterwards the power of concentration or dilation was employed to represent the strength of the hedges. A fully linguistic variable was used to assess the entire investigation attribute in a case study. Lastly, the power of both hedge will changed into one level up or down from the basis power for testing purposes. The results show that, changing one level up or down power of the hedge cause only small variations of the performance values and the final ranking remains unchanged. Thus, it shows that our proposed approach can be utilised to derive the robust model for decision-making purposes. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/29246/1/Sensitivity_Analysis_using_Fuzzy_Linguistic_Hedges.pdf Zamali, T. and Lazim, M. A. and Md Tap, Abu Osman (2012) Sensitivity analysis using fuzzy linguistic hedges. In: 2012 IEEE Symposium on Humanities, Science and Engineering Research, 24-27 June 2012, Kuala Lumpur. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6268902
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Zamali, T.
Lazim, M. A.
Md Tap, Abu Osman
Sensitivity analysis using fuzzy linguistic hedges
description This paper proposed a new sensitivity analysis approach using the linguistic hedges in fuzzy environment. At the first place, the linguistic hedge was briefly described with emphasis on the two types, namely concentration and dilation. Afterwards the power of concentration or dilation was employed to represent the strength of the hedges. A fully linguistic variable was used to assess the entire investigation attribute in a case study. Lastly, the power of both hedge will changed into one level up or down from the basis power for testing purposes. The results show that, changing one level up or down power of the hedge cause only small variations of the performance values and the final ranking remains unchanged. Thus, it shows that our proposed approach can be utilised to derive the robust model for decision-making purposes.
format Conference or Workshop Item
author Zamali, T.
Lazim, M. A.
Md Tap, Abu Osman
author_facet Zamali, T.
Lazim, M. A.
Md Tap, Abu Osman
author_sort Zamali, T.
title Sensitivity analysis using fuzzy linguistic hedges
title_short Sensitivity analysis using fuzzy linguistic hedges
title_full Sensitivity analysis using fuzzy linguistic hedges
title_fullStr Sensitivity analysis using fuzzy linguistic hedges
title_full_unstemmed Sensitivity analysis using fuzzy linguistic hedges
title_sort sensitivity analysis using fuzzy linguistic hedges
publishDate 2012
url http://irep.iium.edu.my/29246/
http://irep.iium.edu.my/29246/
http://irep.iium.edu.my/29246/1/Sensitivity_Analysis_using_Fuzzy_Linguistic_Hedges.pdf
first_indexed 2023-09-18T20:42:55Z
last_indexed 2023-09-18T20:42:55Z
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