Water level evaluation at Southern Malaysia reservoir using fuzzy composite programming

Ranking and evaluation of properreservoir water level outflowing into downstream river system under multi-criterion environment was presented using multi-criteria decision approach specifically Fuzzy Composite Programming (FCP). The optimum water level evaluation is vital to take into consideration...

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Main Authors: Shamsudin, Supiah, Ab. Rahman, Azmi, Haron, Zaiton, Ai Nam, Lat Da
Format: Article
Published: 2013
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Online Access:http://eprints.utm.my/id/eprint/40913/
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spelling my.utm.409132017-08-22T03:33:58Z http://eprints.utm.my/id/eprint/40913/ Water level evaluation at Southern Malaysia reservoir using fuzzy composite programming Shamsudin, Supiah Ab. Rahman, Azmi Haron, Zaiton Ai Nam, Lat Da TA Engineering (General). Civil engineering (General) Ranking and evaluation of properreservoir water level outflowing into downstream river system under multi-criterion environment was presented using multi-criteria decision approach specifically Fuzzy Composite Programming (FCP). The optimum water level evaluation is vital to take into consideration the various environmental, water quantity and economical aspects of the overall systems. This multicriteria analysis will optimize water release, ensuring water quality, providing economical benefits and maintaining high quality of the natural landscape. The study mainly focuses on optimizing outflowing water level by identifying and grouping the basic indicators into its particular composite structure. The basic indicators include various water quality parameters, flowrates, rainfall, scenery etc. The composite structure of the overall reservoir water use system was presented. Five(5) alternatives based on reservoir water level was adopted which include 20.6m (Alternative 1), 22.2m(Alternative 2), 23.8m(Alternative 3), 25.4m (Alternative 4) and 27.0m(Alternative 5) respectively. Sensitivity analysis using three (3) set of different weights was performed for analyzing the robustness of the optimum water level obtained. The FCP structure consists of 15 first level indicators, 5 second level indicators, 2 third level indicators and the final indicators. The optimum value was determined based on the shortest distance between the fuzzy box and an ideal point. The optimum answer was also obtained from the highest ordered sequence value. The highest ranking order indicated by highest ordered sequence value obtained was Alternative 3 (0.660), followed by Alternative 4 (0.596), Alternative 2 (0.555), Alternative 5 (0.515) and lastly Alternative 1(0.500). The highest ranking order indicated the most optimum, advisable and appropriate water level for Layang reservoir. 2013 Article PeerReviewed Shamsudin, Supiah and Ab. Rahman, Azmi and Haron, Zaiton and Ai Nam, Lat Da (2013) Water level evaluation at Southern Malaysia reservoir using fuzzy composite programming. International Journal of Engineering and Advanced Technology (IJEAT), 2 (4). pp. 127-132. ISSN 2249-8958
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Shamsudin, Supiah
Ab. Rahman, Azmi
Haron, Zaiton
Ai Nam, Lat Da
Water level evaluation at Southern Malaysia reservoir using fuzzy composite programming
description Ranking and evaluation of properreservoir water level outflowing into downstream river system under multi-criterion environment was presented using multi-criteria decision approach specifically Fuzzy Composite Programming (FCP). The optimum water level evaluation is vital to take into consideration the various environmental, water quantity and economical aspects of the overall systems. This multicriteria analysis will optimize water release, ensuring water quality, providing economical benefits and maintaining high quality of the natural landscape. The study mainly focuses on optimizing outflowing water level by identifying and grouping the basic indicators into its particular composite structure. The basic indicators include various water quality parameters, flowrates, rainfall, scenery etc. The composite structure of the overall reservoir water use system was presented. Five(5) alternatives based on reservoir water level was adopted which include 20.6m (Alternative 1), 22.2m(Alternative 2), 23.8m(Alternative 3), 25.4m (Alternative 4) and 27.0m(Alternative 5) respectively. Sensitivity analysis using three (3) set of different weights was performed for analyzing the robustness of the optimum water level obtained. The FCP structure consists of 15 first level indicators, 5 second level indicators, 2 third level indicators and the final indicators. The optimum value was determined based on the shortest distance between the fuzzy box and an ideal point. The optimum answer was also obtained from the highest ordered sequence value. The highest ranking order indicated by highest ordered sequence value obtained was Alternative 3 (0.660), followed by Alternative 4 (0.596), Alternative 2 (0.555), Alternative 5 (0.515) and lastly Alternative 1(0.500). The highest ranking order indicated the most optimum, advisable and appropriate water level for Layang reservoir.
format Article
author Shamsudin, Supiah
Ab. Rahman, Azmi
Haron, Zaiton
Ai Nam, Lat Da
author_facet Shamsudin, Supiah
Ab. Rahman, Azmi
Haron, Zaiton
Ai Nam, Lat Da
author_sort Shamsudin, Supiah
title Water level evaluation at Southern Malaysia reservoir using fuzzy composite programming
title_short Water level evaluation at Southern Malaysia reservoir using fuzzy composite programming
title_full Water level evaluation at Southern Malaysia reservoir using fuzzy composite programming
title_fullStr Water level evaluation at Southern Malaysia reservoir using fuzzy composite programming
title_full_unstemmed Water level evaluation at Southern Malaysia reservoir using fuzzy composite programming
title_sort water level evaluation at southern malaysia reservoir using fuzzy composite programming
publishDate 2013
url http://eprints.utm.my/id/eprint/40913/
_version_ 1643650592658161664
score 13.19449