Two phase fuzzy multicriteria model to evaluate teaching / Mahmod Othman, Ku Ruhana Ku Muhamud and Azuraliza Abu Bakar

Two phase fuzzy multicriteria model in evaluating the quality of teaching is presented. The model based upon fuzzy sets and approximate reasoning to determine the ranking of the quality of teaching taught in several courses. The first phase uses the similarity function to dampen the fluctuation of e...

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Main Authors: Othman, Mahmod, Ku Muhamud, Ku Ruhana, Abu Bakar, Azuraliza
Format: Article
Language:English
Published: Universiti Teknologi MARA, Perlis 2006
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/11560/
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author Othman, Mahmod
Ku Muhamud, Ku Ruhana
Abu Bakar, Azuraliza
author_facet Othman, Mahmod
Ku Muhamud, Ku Ruhana
Abu Bakar, Azuraliza
author_sort Othman, Mahmod
building UiTM Institutional Repository
collection Online Access
description Two phase fuzzy multicriteria model in evaluating the quality of teaching is presented. The model based upon fuzzy sets and approximate reasoning to determine the ranking of the quality of teaching taught in several courses. The first phase uses the similarity function to dampen the fluctuation of extreme values of data. The second phase based on fuzzy synthetic and multicriteria decision to reduce sub-criteria calculation and offered the best choice in making decision. The used of the model increases the accuracy of the results made in evaluating situation that involves subjectivity, vagueness and imprecise information. Numerical examples produced are comparable to results given by other fuzzy evaluation approaches.
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spelling uitm-115602016-08-05T03:28:54Z https://ir.uitm.edu.my/id/eprint/11560/ Two phase fuzzy multicriteria model to evaluate teaching / Mahmod Othman, Ku Ruhana Ku Muhamud and Azuraliza Abu Bakar jurnalintelek Othman, Mahmod Ku Muhamud, Ku Ruhana Abu Bakar, Azuraliza Fuzzy arithmetic Fuzzy logic Two phase fuzzy multicriteria model in evaluating the quality of teaching is presented. The model based upon fuzzy sets and approximate reasoning to determine the ranking of the quality of teaching taught in several courses. The first phase uses the similarity function to dampen the fluctuation of extreme values of data. The second phase based on fuzzy synthetic and multicriteria decision to reduce sub-criteria calculation and offered the best choice in making decision. The used of the model increases the accuracy of the results made in evaluating situation that involves subjectivity, vagueness and imprecise information. Numerical examples produced are comparable to results given by other fuzzy evaluation approaches. Universiti Teknologi MARA, Perlis 2006 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/11560/1/AJ_MAHMOD%20OTHMAN%20JI%2006.pdf Othman, Mahmod and Ku Muhamud, Ku Ruhana and Abu Bakar, Azuraliza (2006) Two phase fuzzy multicriteria model to evaluate teaching / Mahmod Othman, Ku Ruhana Ku Muhamud and Azuraliza Abu Bakar. (2006) Jurnal Intelek <https://ir.uitm.edu.my/view/publication/Jurnal_Intelek.html>, 4 (1). pp. 83-94. ISSN 2231-7716
spellingShingle Fuzzy arithmetic
Fuzzy logic
Othman, Mahmod
Ku Muhamud, Ku Ruhana
Abu Bakar, Azuraliza
Two phase fuzzy multicriteria model to evaluate teaching / Mahmod Othman, Ku Ruhana Ku Muhamud and Azuraliza Abu Bakar
title Two phase fuzzy multicriteria model to evaluate teaching / Mahmod Othman, Ku Ruhana Ku Muhamud and Azuraliza Abu Bakar
title_full Two phase fuzzy multicriteria model to evaluate teaching / Mahmod Othman, Ku Ruhana Ku Muhamud and Azuraliza Abu Bakar
title_fullStr Two phase fuzzy multicriteria model to evaluate teaching / Mahmod Othman, Ku Ruhana Ku Muhamud and Azuraliza Abu Bakar
title_full_unstemmed Two phase fuzzy multicriteria model to evaluate teaching / Mahmod Othman, Ku Ruhana Ku Muhamud and Azuraliza Abu Bakar
title_short Two phase fuzzy multicriteria model to evaluate teaching / Mahmod Othman, Ku Ruhana Ku Muhamud and Azuraliza Abu Bakar
title_sort two phase fuzzy multicriteria model to evaluate teaching / mahmod othman, ku ruhana ku muhamud and azuraliza abu bakar
topic Fuzzy arithmetic
Fuzzy logic
url https://ir.uitm.edu.my/id/eprint/11560/