A hybrid P-graph and WEKA approach in decision-making: waste conversion technologies selection
Process system engineering approaches have a considerably broader reach, which is one of the benefits for decision-makers. Making a decision, however, has many drawbacks. It includes biased decisions, time consuming analyses, and an unpredictable future. A decision-making integration framework based...
| Main Authors: | , , , , |
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| Format: | Article |
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Tamkang University Press
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/100155/ |
| _version_ | 1848863248028270592 |
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| author | Ali, Rabiatul Adawiyah Nik Ibrahim, Nik Nor Liyana Wan Abdul Karim Ghani, Wan Azlina Sani, Nor Samsiah Hon, Loong Lam |
| author_facet | Ali, Rabiatul Adawiyah Nik Ibrahim, Nik Nor Liyana Wan Abdul Karim Ghani, Wan Azlina Sani, Nor Samsiah Hon, Loong Lam |
| author_sort | Ali, Rabiatul Adawiyah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Process system engineering approaches have a considerably broader reach, which is one of the benefits for decision-makers. Making a decision, however, has many drawbacks. It includes biased decisions, time consuming analyses, and an unpredictable future. A decision-making integration framework based on hybrid process network synthesis and machine learning was presented in this study. The municipal solid waste management case study uses to demonstrate the applicability decision-making framework. The focus of this paper is to facilitate equipment selection for municipal solid waste management. P-graph was used to generate the 160 possible structures. Then, using the WEKA software, the data from the feasible structure would be processed and evaluated using the chosen algorithm. The J48 is the best model for equipment selection using an 80:20 ratio train and test learning technique in WEKA. The kappa statistics J48 algorithm function for the training and testing dataset is 0.9722 and 1. The mean absolute error and root mean square error are 0.0042 and 0.0354. The decision-making integration framework represents by a graphical user interface in MATLAB. The focus of user interface for selection of waste conversion technologies. As a result, the model can be used to determine the best municipal solid waste conversion technology. |
| first_indexed | 2025-11-15T13:29:54Z |
| format | Article |
| id | upm-100155 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:29:54Z |
| publishDate | 2022 |
| publisher | Tamkang University Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1001552024-07-17T04:14:40Z http://psasir.upm.edu.my/id/eprint/100155/ A hybrid P-graph and WEKA approach in decision-making: waste conversion technologies selection Ali, Rabiatul Adawiyah Nik Ibrahim, Nik Nor Liyana Wan Abdul Karim Ghani, Wan Azlina Sani, Nor Samsiah Hon, Loong Lam Process system engineering approaches have a considerably broader reach, which is one of the benefits for decision-makers. Making a decision, however, has many drawbacks. It includes biased decisions, time consuming analyses, and an unpredictable future. A decision-making integration framework based on hybrid process network synthesis and machine learning was presented in this study. The municipal solid waste management case study uses to demonstrate the applicability decision-making framework. The focus of this paper is to facilitate equipment selection for municipal solid waste management. P-graph was used to generate the 160 possible structures. Then, using the WEKA software, the data from the feasible structure would be processed and evaluated using the chosen algorithm. The J48 is the best model for equipment selection using an 80:20 ratio train and test learning technique in WEKA. The kappa statistics J48 algorithm function for the training and testing dataset is 0.9722 and 1. The mean absolute error and root mean square error are 0.0042 and 0.0354. The decision-making integration framework represents by a graphical user interface in MATLAB. The focus of user interface for selection of waste conversion technologies. As a result, the model can be used to determine the best municipal solid waste conversion technology. Tamkang University Press 2022-05-20 Article PeerReviewed Ali, Rabiatul Adawiyah and Nik Ibrahim, Nik Nor Liyana and Wan Abdul Karim Ghani, Wan Azlina and Sani, Nor Samsiah and Hon, Loong Lam (2022) A hybrid P-graph and WEKA approach in decision-making: waste conversion technologies selection. Journal of Applied Science and Engineering, 26 (2). pp. 261-267. ISSN 2708-9967; ESSN: 2708-9975 http://jase.tku.edu.tw/articles/jase-202302-26-2-0012 10.6180/jase.202302_26(2).0012 |
| spellingShingle | Ali, Rabiatul Adawiyah Nik Ibrahim, Nik Nor Liyana Wan Abdul Karim Ghani, Wan Azlina Sani, Nor Samsiah Hon, Loong Lam A hybrid P-graph and WEKA approach in decision-making: waste conversion technologies selection |
| title | A hybrid P-graph and WEKA approach in decision-making: waste conversion technologies selection |
| title_full | A hybrid P-graph and WEKA approach in decision-making: waste conversion technologies selection |
| title_fullStr | A hybrid P-graph and WEKA approach in decision-making: waste conversion technologies selection |
| title_full_unstemmed | A hybrid P-graph and WEKA approach in decision-making: waste conversion technologies selection |
| title_short | A hybrid P-graph and WEKA approach in decision-making: waste conversion technologies selection |
| title_sort | hybrid p-graph and weka approach in decision-making: waste conversion technologies selection |
| url | http://psasir.upm.edu.my/id/eprint/100155/ http://psasir.upm.edu.my/id/eprint/100155/ http://psasir.upm.edu.my/id/eprint/100155/ |