A fuzzy approach for prioritizing selection criteria

As the jobs market becomes more competitive, more students are trying to seek admission to overseas institutions for higher education. In the design of a personalized recommendation, identifying the appropriate selection criteria and providing a structured way to prioritizing them is crucial. The o...

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Main Authors: Yadav, Rinki, Khoo, Vincent KT, Shee, Mooi Yee
Format: Conference or Workshop Item
Language:English
Published: 2010
Subjects:
Online Access:http://repo.uum.edu.my/11247/1/PG666_670.pdf
http://repo.uum.edu.my/11247/
http://www.kmice.uum.edu.my
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Institution: Universiti Utara Malaysia
Language: English
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spelling my.uum.repo.112472014-06-05T01:15:22Z http://repo.uum.edu.my/11247/ A fuzzy approach for prioritizing selection criteria Yadav, Rinki Khoo, Vincent KT Shee, Mooi Yee HD28 Management. Industrial Management As the jobs market becomes more competitive, more students are trying to seek admission to overseas institutions for higher education. In the design of a personalized recommendation, identifying the appropriate selection criteria and providing a structured way to prioritizing them is crucial. The objective of this paper is to use the Fuzzy Analytic Hierarchy Process to facilitate the recommendation process.In the past, rarely have the survey questions been deliberately phrased to minimize the possible vagueness in the questions.This paper proposes an enhanced way of phrasing the questions such that the respondents would find the questions more easily understandable.It is argued that better understanding of the questions will minimize the ambiguity inherent in the questions, which would then enhance the consistency and reliability of the answers. 2010-05-25 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/11247/1/PG666_670.pdf Yadav, Rinki and Khoo, Vincent KT and Shee, Mooi Yee (2010) A fuzzy approach for prioritizing selection criteria. In: Knowledge Management International Conference 2010 (KMICe2010), 25-27 May 2010, Kuala Terengganu, Malaysia. http://www.kmice.uum.edu.my
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic HD28 Management. Industrial Management
spellingShingle HD28 Management. Industrial Management
Yadav, Rinki
Khoo, Vincent KT
Shee, Mooi Yee
A fuzzy approach for prioritizing selection criteria
description As the jobs market becomes more competitive, more students are trying to seek admission to overseas institutions for higher education. In the design of a personalized recommendation, identifying the appropriate selection criteria and providing a structured way to prioritizing them is crucial. The objective of this paper is to use the Fuzzy Analytic Hierarchy Process to facilitate the recommendation process.In the past, rarely have the survey questions been deliberately phrased to minimize the possible vagueness in the questions.This paper proposes an enhanced way of phrasing the questions such that the respondents would find the questions more easily understandable.It is argued that better understanding of the questions will minimize the ambiguity inherent in the questions, which would then enhance the consistency and reliability of the answers.
format Conference or Workshop Item
author Yadav, Rinki
Khoo, Vincent KT
Shee, Mooi Yee
author_facet Yadav, Rinki
Khoo, Vincent KT
Shee, Mooi Yee
author_sort Yadav, Rinki
title A fuzzy approach for prioritizing selection criteria
title_short A fuzzy approach for prioritizing selection criteria
title_full A fuzzy approach for prioritizing selection criteria
title_fullStr A fuzzy approach for prioritizing selection criteria
title_full_unstemmed A fuzzy approach for prioritizing selection criteria
title_sort fuzzy approach for prioritizing selection criteria
publishDate 2010
url http://repo.uum.edu.my/11247/1/PG666_670.pdf
http://repo.uum.edu.my/11247/
http://www.kmice.uum.edu.my
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