Fuzzy multi criteria evaluation for performance of bus companies
A multi criteria decision making in ranking the bus companies using fuzzy rule is proposed. The proposed method uses the application of fuzzy sets and approximate reasoning in deciding the ranking of the performance of several bus companies. The proposed method introduces data normalization using si...
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Format: | Article |
Language: | English |
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Academic Journals Database
2010
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Online Access: | https://repo.uum.edu.my/id/eprint/4032/1/kumo.pdf |
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author | Othman, Mahmod Ku-Mahamud, Ku Ruhana |
author_facet | Othman, Mahmod Ku-Mahamud, Ku Ruhana |
author_sort | Othman, Mahmod |
collection | UUM |
description | A multi criteria decision making in ranking the bus companies using fuzzy rule is proposed. The proposed method uses the application of fuzzy sets and approximate reasoning in deciding the ranking of the performance of several bus companies. The proposed method introduces data normalization using similarity function which dampens extreme values that exist in the data. The use of the model is suitable in evaluating situation that involves subjectivity, vagueness and imprecise information. Experimental results are comparable to several previous methods. |
first_indexed | 2024-07-04T05:23:39Z |
format | Article |
id | uum-4032 |
institution | Universiti Utara Malaysia |
language | English |
last_indexed | 2024-07-04T05:23:39Z |
publishDate | 2010 |
publisher | Academic Journals Database |
record_format | eprints |
spelling | uum-40322013-01-16T04:10:55Z https://repo.uum.edu.my/id/eprint/4032/ Fuzzy multi criteria evaluation for performance of bus companies Othman, Mahmod Ku-Mahamud, Ku Ruhana QA75 Electronic computers. Computer science A multi criteria decision making in ranking the bus companies using fuzzy rule is proposed. The proposed method uses the application of fuzzy sets and approximate reasoning in deciding the ranking of the performance of several bus companies. The proposed method introduces data normalization using similarity function which dampens extreme values that exist in the data. The use of the model is suitable in evaluating situation that involves subjectivity, vagueness and imprecise information. Experimental results are comparable to several previous methods. Academic Journals Database 2010-05 Article PeerReviewed application/pdf en cc_by https://repo.uum.edu.my/id/eprint/4032/1/kumo.pdf Othman, Mahmod and Ku-Mahamud, Ku Ruhana (2010) Fuzzy multi criteria evaluation for performance of bus companies. Computer and Information Science, 3 (2). pp. 252-262. ISSN 1913-8989 http://www.ccsenet.org/journal/index.php/cis/article/view/4850 |
spellingShingle | QA75 Electronic computers. Computer science Othman, Mahmod Ku-Mahamud, Ku Ruhana Fuzzy multi criteria evaluation for performance of bus companies |
title | Fuzzy multi criteria evaluation for performance of bus companies |
title_full | Fuzzy multi criteria evaluation for performance of bus companies |
title_fullStr | Fuzzy multi criteria evaluation for performance of bus companies |
title_full_unstemmed | Fuzzy multi criteria evaluation for performance of bus companies |
title_short | Fuzzy multi criteria evaluation for performance of bus companies |
title_sort | fuzzy multi criteria evaluation for performance of bus companies |
topic | QA75 Electronic computers. Computer science |
url | https://repo.uum.edu.my/id/eprint/4032/1/kumo.pdf |
work_keys_str_mv | AT othmanmahmod fuzzymulticriteriaevaluationforperformanceofbuscompanies AT kumahamudkuruhana fuzzymulticriteriaevaluationforperformanceofbuscompanies |