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...

Full description

Saved in:
Bibliographic Details
Main Authors: Aviso, Kathleen B., Tan, Raymond Girard R., Culaba, Alvin B.
Format: text
Published: Animo Repository 2005
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/12018
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-13975
record_format eprints
spelling 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
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Rough sets
Chemical Engineering
spellingShingle Rough sets
Chemical Engineering
Aviso, Kathleen B.
Tan, Raymond Girard R.
Culaba, Alvin B.
Environmental evaluation of power generation options using rough sets
description 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.
format text
author Aviso, Kathleen B.
Tan, Raymond Girard R.
Culaba, Alvin B.
author_facet Aviso, Kathleen B.
Tan, Raymond Girard R.
Culaba, Alvin B.
author_sort 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
title_fullStr Environmental evaluation of power generation options using rough sets
title_full_unstemmed Environmental evaluation of power generation options using rough sets
title_sort environmental evaluation of power generation options using rough sets
publisher Animo Repository
publishDate 2005
url https://animorepository.dlsu.edu.ph/faculty_research/12018
_version_ 1800918880896417792