Selecting Optimal Residential Locations Using Fuzzy GIS Modeling Metadata
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- Main Title Selecting Optimal Residential Locations Using Fuzzy GIS Modeling
Author: Tang, ZongpeiCreator Type: Personal
Chair: Dong, PinliangContributor Type: PersonalContributor Info: Major Professor
Committee Member: Rice, Murray D.Contributor Type: Personal
Committee Member: Hunter, BruceContributor Type: Personal
Name: University of North TexasPlace of Publication: Denton, Texas
- Creation: 2006-12
- Digitized: 2008-04-11
- Content Description: Integrating decision analytical techniques in geographic information systems (GIS) can help remove the two primary obstacles in spatial decision making: inaccessibility to required geographic data and difficulties in synthesizing various criteria. I developed a GIS model to assist people seeking optimal residential locations. Fuzzy set theory was used to codify criteria for each factor used in evaluating residential locations, and weighted linear combination (WLC) was employed to simulate users' preferences in decision making. Three examples were used to demonstrate the applications in the study area. The results from the examples were analyzed. The model and the ArcGIS Extension can be used in other geographic areas for residential location selection, or in other applications of spatial decision making.
- Library of Congress Subject Headings: Housing -- Location -- Mathematical models.
- Library of Congress Subject Headings: Geographic information systems.
- Library of Congress Subject Headings: Spatial analysis (Statistics)
- Library of Congress Subject Headings: Fuzzy sets.
- Keyword: GIS grid modeling
- Keyword: spatial decision making
- Keyword: fuzzy logic
- Keyword: weighted linear combination
- Keyword: fuzzy membership functions
Name: UNT Theses and DissertationsCode: UNTETD
Name: UNT LibrariesCode: UNT
- Rights Access: public
- Rights License: copyright
- Rights Holder: Tang, Zongpei
- Rights Statement: Copyright is held by the author, unless otherwise noted. All rights reserved.
- Thesis or Dissertation
- OCLC: 138311918
- Archival Resource Key: ark:/67531/metadc5396
- Degree Name: Master of Science
- Degree Level: Master's
- Degree Discipline: Applied Geography
- Academic Department: Department of Geography
- Degree Grantor: University of North Texas