Hybrid subjective evaluation of rule Exraction Algorithm using Weighted Subsethood-Based (WSBA)

Fuzzy rules are important elements that being highlighted in any fuzzy expert system.This research proposes the framework of subjective performance evaluation using fuzzy technique for ranking the performance of the financial performance of a company under a multi criteria environment.There are a l...

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Main Authors: Othman, Mahmod, Ku-Mahamud, Ku Ruhana, Hawani, Shezrin, Hamzah, Amir, Khalid, Shaiful Annuar, Abdullah, Fader
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/12061/1/PID59.pdf
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author Othman, Mahmod
Ku-Mahamud, Ku Ruhana
Hawani, Shezrin
Hamzah, Amir
Khalid, Shaiful Annuar
Abdullah, Fader
author_facet Othman, Mahmod
Ku-Mahamud, Ku Ruhana
Hawani, Shezrin
Hamzah, Amir
Khalid, Shaiful Annuar
Abdullah, Fader
author_sort Othman, Mahmod
collection UUM
description Fuzzy rules are important elements that being highlighted in any fuzzy expert system.This research proposes the framework of subjective performance evaluation using fuzzy technique for ranking the performance of the financial performance of a company under a multi criteria environment.There are a lot of techniques used such as fuzzy similarity function, fuzzy synthetic decision and satisfaction function have been adopted.The framework is based on fuzzy multi-criteria decision-making that consists of fuzzy rules.The use of fuzzy rules, which were extracted directly from input data through Weighted Subsethood-based (WSBA) Rule Generation Algorithm.WSBA rule generation use the subsethood values to generate the weights which finally produced the fuzzy general rules.The rules generated through the data provided knowledge in developed fuzzy rule The fuzzy rules embedded in the framework of subjective evaluation method showed advantages in generalizing the evaluation of the performance achievement, where the evaluation process can be conducted consistently in producing good evaluation results with the use of the membership set score.The results from the numerical examples are comparable to other fuzzy evaluation methods, even with the use of small rule size.
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spelling uum-120612014-08-27T00:45:08Z https://repo.uum.edu.my/id/eprint/12061/ Hybrid subjective evaluation of rule Exraction Algorithm using Weighted Subsethood-Based (WSBA) Othman, Mahmod Ku-Mahamud, Ku Ruhana Hawani, Shezrin Hamzah, Amir Khalid, Shaiful Annuar Abdullah, Fader QA76 Computer software Fuzzy rules are important elements that being highlighted in any fuzzy expert system.This research proposes the framework of subjective performance evaluation using fuzzy technique for ranking the performance of the financial performance of a company under a multi criteria environment.There are a lot of techniques used such as fuzzy similarity function, fuzzy synthetic decision and satisfaction function have been adopted.The framework is based on fuzzy multi-criteria decision-making that consists of fuzzy rules.The use of fuzzy rules, which were extracted directly from input data through Weighted Subsethood-based (WSBA) Rule Generation Algorithm.WSBA rule generation use the subsethood values to generate the weights which finally produced the fuzzy general rules.The rules generated through the data provided knowledge in developed fuzzy rule The fuzzy rules embedded in the framework of subjective evaluation method showed advantages in generalizing the evaluation of the performance achievement, where the evaluation process can be conducted consistently in producing good evaluation results with the use of the membership set score.The results from the numerical examples are comparable to other fuzzy evaluation methods, even with the use of small rule size. 2013-08-28 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/12061/1/PID59.pdf Othman, Mahmod and Ku-Mahamud, Ku Ruhana and Hawani, Shezrin and Hamzah, Amir and Khalid, Shaiful Annuar and Abdullah, Fader (2013) Hybrid subjective evaluation of rule Exraction Algorithm using Weighted Subsethood-Based (WSBA). In: 4th International Conference on Computing and Informatics (ICOCI 2013), 28 -30 August 2013, Kuching, Sarawak, Malaysia. http://www.icoci.cms.net.my/proceedings/2013/TOC.html
spellingShingle QA76 Computer software
Othman, Mahmod
Ku-Mahamud, Ku Ruhana
Hawani, Shezrin
Hamzah, Amir
Khalid, Shaiful Annuar
Abdullah, Fader
Hybrid subjective evaluation of rule Exraction Algorithm using Weighted Subsethood-Based (WSBA)
title Hybrid subjective evaluation of rule Exraction Algorithm using Weighted Subsethood-Based (WSBA)
title_full Hybrid subjective evaluation of rule Exraction Algorithm using Weighted Subsethood-Based (WSBA)
title_fullStr Hybrid subjective evaluation of rule Exraction Algorithm using Weighted Subsethood-Based (WSBA)
title_full_unstemmed Hybrid subjective evaluation of rule Exraction Algorithm using Weighted Subsethood-Based (WSBA)
title_short Hybrid subjective evaluation of rule Exraction Algorithm using Weighted Subsethood-Based (WSBA)
title_sort hybrid subjective evaluation of rule exraction algorithm using weighted subsethood based wsba
topic QA76 Computer software
url https://repo.uum.edu.my/id/eprint/12061/1/PID59.pdf
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