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Fuzzy Analytical Hierarchy Process A...

Vargas, Myrtha Elvia Reyna.

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Fuzzy Analytical Hierarchy Process Approach for Multicriteria Decision-making with an Application to Developing an 'Urban Greenness Index'.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fuzzy Analytical Hierarchy Process Approach for Multicriteria Decision-making with an Application to Developing an 'Urban Greenness Index'./
Author:	Vargas, Myrtha Elvia Reyna.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	95 p.
Notes:	Source: Masters Abstracts International, Volume: 80-06.
Contained By:	Masters Abstracts International80-06.
Subject:	Biostatistics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10972975
ISBN:	9780438673069

Fuzzy Analytical Hierarchy Process Approach for Multicriteria Decision-making with an Application to Developing an 'Urban Greenness Index'.
Vargas, Myrtha Elvia Reyna.

Fuzzy Analytical Hierarchy Process Approach for Multicriteria Decision-making with an Application to Developing an 'Urban Greenness Index'. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 95 p.

Source: Masters Abstracts International, Volume: 80-06.

Thesis (M.Sc.)--University of Toronto (Canada), 2018.

This item must not be sold to any third party vendors.

Urban greenness is a multifaceted concept that describes greenness in a built environment. Current approaches studying health outcomes quantify greenness one-dimensionally, leading to the necessity of developing an index that accurately reflects greenness aspects in an urban setting. This thesis integrates Analytical Hierarchy Process with fuzzy logic (fuzzy-AHP) to develop an index based on opinions about urban greenness and on objective attribute data. Index attribute weights are obtained by triangular, trapezoidal and Gaussian membership functions; geometric mean method and fuzzy extent analysis are applied to obtain fuzzy weights. Defuzzification is performed by modal value dominancy and alpha-cuts. A numerical application is shown and resulting indices are compared. The developed 'Urban Greenness Index' represents a more accurate reflection of the true exposure by incorporating multiple aspects of the urban environment. After obtaining experts input on index attributes, this index can be used to explore associations to different health outcomes.

ISBN: 9780438673069Subjects--Topical Terms:

1002712
Biostatistics.

Fuzzy Analytical Hierarchy Process Approach for Multicriteria Decision-making with an Application to Developing an 'Urban Greenness Index'.
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245 1 0 $a Fuzzy Analytical Hierarchy Process Approach for Multicriteria Decision-making with an Application to Developing an 'Urban Greenness Index'.
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300 $a 95 p.
500 $a Source: Masters Abstracts International, Volume: 80-06.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Lou, Wendy;Ge, Erjia.
502 $a Thesis (M.Sc.)--University of Toronto (Canada), 2018.
506 $a This item must not be sold to any third party vendors.
520 $a Urban greenness is a multifaceted concept that describes greenness in a built environment. Current approaches studying health outcomes quantify greenness one-dimensionally, leading to the necessity of developing an index that accurately reflects greenness aspects in an urban setting. This thesis integrates Analytical Hierarchy Process with fuzzy logic (fuzzy-AHP) to develop an index based on opinions about urban greenness and on objective attribute data. Index attribute weights are obtained by triangular, trapezoidal and Gaussian membership functions; geometric mean method and fuzzy extent analysis are applied to obtain fuzzy weights. Defuzzification is performed by modal value dominancy and alpha-cuts. A numerical application is shown and resulting indices are compared. The developed 'Urban Greenness Index' represents a more accurate reflection of the true exposure by incorporating multiple aspects of the urban environment. After obtaining experts input on index attributes, this index can be used to explore associations to different health outcomes.
590 $a School code: 0779.
650 4 $a Biostatistics. $3 1002712
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