Compactness measurement using fuzzy multicriteria decision making for redistricting

This paper presents a new method for compactness assessment in redistricting planning using Fuzzy Multicriteria Decision Making. An Enhanced Compactness Index (ECI) representing the overall plan with respect to each criterion is obtained by using triangular fuzzy number. The ECI is generated based o...

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Main Authors: Wang, Yin Chai, Bong, Chin Wei
Format: Article
Language:English
Published: IEEE 2002
Subjects:
Online Access:http://ir.unimas.my/id/eprint/16554/
http://ir.unimas.my/id/eprint/16554/1/Compactness%20Measurement%20Using%20Fuzzy%20%28abstract%29.pdf
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author Wang, Yin Chai
Bong, Chin Wei
author_facet Wang, Yin Chai
Bong, Chin Wei
author_sort Wang, Yin Chai
building UNIMAS Institutional Repository
collection Online Access
description This paper presents a new method for compactness assessment in redistricting planning using Fuzzy Multicriteria Decision Making. An Enhanced Compactness Index (ECI) representing the overall plan with respect to each criterion is obtained by using triangular fuzzy number. The ECI is generated based on the synthesis of the concepts of fuzzy set theory, AHP, /spl alpha/-cuts concept and index of optimism of district planners to estimate the degree of satisfaction of the judgements on a district plan. The proposed method is more flexible, simple and comprehensive with easy computation and efficiency which facilitates its uses In compactness measurement in redistricting application like school redistricting, election boundary redistricting and others. A case study on forest blocking Is presented to demonstrate Its applicability in redistricting applications with respect to their redistricting goals and criteria.
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spelling unimas-165542017-06-08T06:26:11Z http://ir.unimas.my/id/eprint/16554/ Compactness measurement using fuzzy multicriteria decision making for redistricting Wang, Yin Chai Bong, Chin Wei T Technology (General) This paper presents a new method for compactness assessment in redistricting planning using Fuzzy Multicriteria Decision Making. An Enhanced Compactness Index (ECI) representing the overall plan with respect to each criterion is obtained by using triangular fuzzy number. The ECI is generated based on the synthesis of the concepts of fuzzy set theory, AHP, /spl alpha/-cuts concept and index of optimism of district planners to estimate the degree of satisfaction of the judgements on a district plan. The proposed method is more flexible, simple and comprehensive with easy computation and efficiency which facilitates its uses In compactness measurement in redistricting application like school redistricting, election boundary redistricting and others. A case study on forest blocking Is presented to demonstrate Its applicability in redistricting applications with respect to their redistricting goals and criteria. IEEE 2002 Article PeerReviewed text en http://ir.unimas.my/id/eprint/16554/1/Compactness%20Measurement%20Using%20Fuzzy%20%28abstract%29.pdf Wang, Yin Chai and Bong, Chin Wei (2002) Compactness measurement using fuzzy multicriteria decision making for redistricting. Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology TENCON 2001.. ISSN ISBN: 0-7803-7101-1 http://ieeexplore.ieee.org/document/949635/ DOI: 10.1109/TENCON.2001.949635
spellingShingle T Technology (General)
Wang, Yin Chai
Bong, Chin Wei
Compactness measurement using fuzzy multicriteria decision making for redistricting
title Compactness measurement using fuzzy multicriteria decision making for redistricting
title_full Compactness measurement using fuzzy multicriteria decision making for redistricting
title_fullStr Compactness measurement using fuzzy multicriteria decision making for redistricting
title_full_unstemmed Compactness measurement using fuzzy multicriteria decision making for redistricting
title_short Compactness measurement using fuzzy multicriteria decision making for redistricting
title_sort compactness measurement using fuzzy multicriteria decision making for redistricting
topic T Technology (General)
url http://ir.unimas.my/id/eprint/16554/
http://ir.unimas.my/id/eprint/16554/
http://ir.unimas.my/id/eprint/16554/
http://ir.unimas.my/id/eprint/16554/1/Compactness%20Measurement%20Using%20Fuzzy%20%28abstract%29.pdf