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Measuring the perceived multiple intelligence of people with epilepsy via inverse fuzzy algorithms

Among the challenging problems faced by People with Epilepsy (PWE) are under-employment and unemployment. Regardless of their qualification and experience, many PWE claim to have been denied the same opportunities given to other people even at present when there are many suitable jobs for them to ch...

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Main Authors: Awang, Siti Rahmah, Ahmad, Tahir, Raja Mohamad Yusoff, Raja Mohamad Fairuz
Format: Conference or Workshop Item
Published: 2015
Subjects:
HD28 Management. Industrial Management
Online Access:http://eprints.utm.my/id/eprint/61664/
http://apiar.org.au/?conference=1st-international-conference-on-theory-and-practice-ictp-2015
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id my.utm.61664
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spelling my.utm.616642017-04-26T04:21:29Z http://eprints.utm.my/id/eprint/61664/ Measuring the perceived multiple intelligence of people with epilepsy via inverse fuzzy algorithms Awang, Siti Rahmah Ahmad, Tahir Raja Mohamad Yusoff, Raja Mohamad Fairuz HD28 Management. Industrial Management Among the challenging problems faced by People with Epilepsy (PWE) are under-employment and unemployment. Regardless of their qualification and experience, many PWE claim to have been denied the same opportunities given to other people even at present when there are many suitable jobs for them to choose from. Human resource personnel, however, need reliable information about the PWE before they can be hired. Inverse Ability Test of Epilepsy (i-ATIE), a psychometric test was developed to meet their need for this purpose and was constructed by combining Howard Gardner’s Multiple Intelligence theory with statistical procedures. The test development started with Fuzzy Inverse ATIE (FIA) algorithm where this algorithm was incorporated into a crisp Logistic Regression model to obtain the best intelligence parameters that would be garnered to maximize the employment probability of people with epilepsy (PWE). A computer programme using C-Sharp programming language was developed to execute the FIA. Then, the model has been coded to become a software. i-ATIE is able to measure the level of perceived intelligence of the PWE quantitatively and able to identify the skills that they are still lacking and need to be improved. With the advent of this psychometric test, it would now be possible to develop a tangible programme to enhance the employability of PWE that are problem-specific. 2015 Conference or Workshop Item PeerReviewed Awang, Siti Rahmah and Ahmad, Tahir and Raja Mohamad Yusoff, Raja Mohamad Fairuz (2015) Measuring the perceived multiple intelligence of people with epilepsy via inverse fuzzy algorithms. In: 1st International Conference on Theory and Practice, 5-6 Dec, 2015, Australia. http://apiar.org.au/?conference=1st-international-conference-on-theory-and-practice-ictp-2015
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic HD28 Management. Industrial Management
spellingShingle HD28 Management. Industrial Management
Awang, Siti Rahmah
Ahmad, Tahir
Raja Mohamad Yusoff, Raja Mohamad Fairuz
Measuring the perceived multiple intelligence of people with epilepsy via inverse fuzzy algorithms
description Among the challenging problems faced by People with Epilepsy (PWE) are under-employment and unemployment. Regardless of their qualification and experience, many PWE claim to have been denied the same opportunities given to other people even at present when there are many suitable jobs for them to choose from. Human resource personnel, however, need reliable information about the PWE before they can be hired. Inverse Ability Test of Epilepsy (i-ATIE), a psychometric test was developed to meet their need for this purpose and was constructed by combining Howard Gardner’s Multiple Intelligence theory with statistical procedures. The test development started with Fuzzy Inverse ATIE (FIA) algorithm where this algorithm was incorporated into a crisp Logistic Regression model to obtain the best intelligence parameters that would be garnered to maximize the employment probability of people with epilepsy (PWE). A computer programme using C-Sharp programming language was developed to execute the FIA. Then, the model has been coded to become a software. i-ATIE is able to measure the level of perceived intelligence of the PWE quantitatively and able to identify the skills that they are still lacking and need to be improved. With the advent of this psychometric test, it would now be possible to develop a tangible programme to enhance the employability of PWE that are problem-specific.
format Conference or Workshop Item
author Awang, Siti Rahmah
Ahmad, Tahir
Raja Mohamad Yusoff, Raja Mohamad Fairuz
author_facet Awang, Siti Rahmah
Ahmad, Tahir
Raja Mohamad Yusoff, Raja Mohamad Fairuz
author_sort Awang, Siti Rahmah
title Measuring the perceived multiple intelligence of people with epilepsy via inverse fuzzy algorithms
title_short Measuring the perceived multiple intelligence of people with epilepsy via inverse fuzzy algorithms
title_full Measuring the perceived multiple intelligence of people with epilepsy via inverse fuzzy algorithms
title_fullStr Measuring the perceived multiple intelligence of people with epilepsy via inverse fuzzy algorithms
title_full_unstemmed Measuring the perceived multiple intelligence of people with epilepsy via inverse fuzzy algorithms
title_sort measuring the perceived multiple intelligence of people with epilepsy via inverse fuzzy algorithms
publishDate 2015
url http://eprints.utm.my/id/eprint/61664/
http://apiar.org.au/?conference=1st-international-conference-on-theory-and-practice-ictp-2015
_version_ 1643655230096670720
score 13.211869

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