Management of Melana watershed using multicriteria decision making approaches
Nowadays, watershed management is very important and need to be given attention especially by government agencies because all resources between it are related. This project proposed using Multicriteria Decision Making Approach (MCDM) to identify and rank which subwatershed in Melana need to given pr...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2007
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/6378/1/AhmadAmzariYaccobMFKA2007.pdf |
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| Summary: | Nowadays, watershed management is very important and need to be given attention especially by government agencies because all resources between it are related. This project proposed using Multicriteria Decision Making Approach (MCDM) to identify and rank which subwatershed in Melana need to given priority by government authorities in planning their strategies or alternatives for improvement Melana catchment. Each subwatershed was ranked using Multicriteria Decision Making Approaches specifically applying Fuzzy Composite Programming (FCP) and Analytic Hierarchy Process (AHP). There were 3 selected subwatershed which were residential, light industry and heavy industry. The objective of this project i) to identify basic indicator for management of Melana watershed, ii) to rank subwatershed in Melana watershed using MCDM approaches, iii) to compare FCP and AHP technique and analyses based on selected basic indicators. The FCP and AHP structures contained 13 first-level indicators, 5 second level indicators, 3 third level indicators and the final indicators. The highest ranking subwatershed was residential with the highest ordered sequence value. The highest ranking subwatershed was also associated with the shortest distance between the fuzzy box and ideal point. The highest ordered sequences value means that subwatershed was the best in economy, water quantity and quality. The critical subwatershed was the lowest ordered sequence value which was heavy industry. In AHP, the highest priority index value was heavy industry. This subwatershed is the critical watershed which need be given attention and conservation. This study showed that FCP has a similar result with AHP. |
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