Environmental evaluation of power generation options using rough sets
This paper presents an alternative methodology using rough set theory in the evaluation of power generation options. The rough decision rules are obtained from an expert panel and are subsequently utilized to develop a rule-based model which makes use of a two-step procedure of Pareto optimality scr...
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oai:animorepository.dlsu.edu.ph:faculty_research-139752024-03-07T05:18:05Z Environmental evaluation of power generation options using rough sets Aviso, Kathleen B. Tan, Raymond Girard R. Culaba, Alvin B. This paper presents an alternative methodology using rough set theory in the evaluation of power generation options. The rough decision rules are obtained from an expert panel and are subsequently utilized to develop a rule-based model which makes use of a two-step procedure of Pareto optimality screening and rough decision rule matching. The model encapsulates the environmental concerns and the knowledge of the experts and can thus rank and evaluate new technologies based on the arguments used in the evaluation of old technologies. The most significant criteria identified were global warming potential and oil resource consumption. 2005-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/12018 Faculty Research Work Animo Repository Rough sets Chemical Engineering |
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Rough sets Chemical Engineering Aviso, Kathleen B. Tan, Raymond Girard R. Culaba, Alvin B. Environmental evaluation of power generation options using rough sets |
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This paper presents an alternative methodology using rough set theory in the evaluation of power generation options. The rough decision rules are obtained from an expert panel and are subsequently utilized to develop a rule-based model which makes use of a two-step procedure of Pareto optimality screening and rough decision rule matching. The model encapsulates the environmental concerns and the knowledge of the experts and can thus rank and evaluate new technologies based on the arguments used in the evaluation of old technologies. The most significant criteria identified were global warming potential and oil resource consumption. |
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Aviso, Kathleen B. Tan, Raymond Girard R. Culaba, Alvin B. |
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Aviso, Kathleen B. Tan, Raymond Girard R. Culaba, Alvin B. |
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Aviso, Kathleen B. |
title |
Environmental evaluation of power generation options using rough sets |
title_short |
Environmental evaluation of power generation options using rough sets |
title_full |
Environmental evaluation of power generation options using rough sets |
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Environmental evaluation of power generation options using rough sets |
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Environmental evaluation of power generation options using rough sets |
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environmental evaluation of power generation options using rough sets |
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2005 |
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https://animorepository.dlsu.edu.ph/faculty_research/12018 |
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