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Fuzzy multiple criteria decision making method in integrating compactness measurement for shape-based redistricting

Redistricting is a process to divide a land surface into two or more pieces by partitioning geographical zones or districts into territories, subject to some side constraints. Redistricting is an important spatial optimisation problem because it decides the space management of a particular region an...

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Main Author: Bong, Chin Wei
Format: Thesis
Language:English
Published: Faculty of Computer Science and Information Technology 2001
Subjects:
JK Political institutions (United States)
Online Access:http://ir.unimas.my/id/eprint/1706/1/Bong%20Chin%20Wei%20ft.pdf
http://ir.unimas.my/id/eprint/1706/
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spelling my.unimas.ir.17062023-04-17T03:58:24Z http://ir.unimas.my/id/eprint/1706/ Fuzzy multiple criteria decision making method in integrating compactness measurement for shape-based redistricting Bong, Chin Wei JK Political institutions (United States) Redistricting is a process to divide a land surface into two or more pieces by partitioning geographical zones or districts into territories, subject to some side constraints. Redistricting is an important spatial optimisation problem because it decides the space management of a particular region and is related to location dat. In some specific and scientific way, redistricting is multiple objectives combinatorial optimisation as it involves optimal arrangement of a group of discrete entities to satisfy various criteria for evaluating of the quantity of the given arrangement or solution. Faculty of Computer Science and Information Technology 2001 Thesis NonPeerReviewed text en http://ir.unimas.my/id/eprint/1706/1/Bong%20Chin%20Wei%20ft.pdf Bong, Chin Wei (2001) Fuzzy multiple criteria decision making method in integrating compactness measurement for shape-based redistricting. Masters thesis, Universiti Malaysia Sarawak (UNIMAS).
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic JK Political institutions (United States)
spellingShingle JK Political institutions (United States)
Bong, Chin Wei
Fuzzy multiple criteria decision making method in integrating compactness measurement for shape-based redistricting
description Redistricting is a process to divide a land surface into two or more pieces by partitioning geographical zones or districts into territories, subject to some side constraints. Redistricting is an important spatial optimisation problem because it decides the space management of a particular region and is related to location dat. In some specific and scientific way, redistricting is multiple objectives combinatorial optimisation as it involves optimal arrangement of a group of discrete entities to satisfy various criteria for evaluating of the quantity of the given arrangement or solution.
format Thesis
author Bong, Chin Wei
author_facet Bong, Chin Wei
author_sort Bong, Chin Wei
title Fuzzy multiple criteria decision making method in integrating compactness measurement for shape-based redistricting
title_short Fuzzy multiple criteria decision making method in integrating compactness measurement for shape-based redistricting
title_full Fuzzy multiple criteria decision making method in integrating compactness measurement for shape-based redistricting
title_fullStr Fuzzy multiple criteria decision making method in integrating compactness measurement for shape-based redistricting
title_full_unstemmed Fuzzy multiple criteria decision making method in integrating compactness measurement for shape-based redistricting
title_sort fuzzy multiple criteria decision making method in integrating compactness measurement for shape-based redistricting
publisher Faculty of Computer Science and Information Technology
publishDate 2001
url http://ir.unimas.my/id/eprint/1706/1/Bong%20Chin%20Wei%20ft.pdf
http://ir.unimas.my/id/eprint/1706/
_version_ 1765301153862516736
score 13.211869

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