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GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy

This study proposes a site location assessment model for citrus cropland using multi-criteria evaluation (MCE) and the combination of a set of factors for suitability mapping and delineating the suitable areas for citrus production in Ramsar, Iran. It defines an incorporated method for the suitabili...

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Main Authors: Ghodsiyeh, Danial, Akbarzadeh, Saleh, Izman, Sudin, Moradi, Mona
Format: Article
Language:English
Published: MDPI 2019
Subjects:
G70.212-70.215 Geographic information system
Online Access:http://eprints.utm.my/id/eprint/96980/1/AnuarAhmad2019_GISMultiCriteriaAnalysisbyOrderedWeightedAveraging.pdf
http://eprints.utm.my/id/eprint/96980/
http://dx.doi.org/10.3390/su11041009
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spelling my.utm.969802022-09-06T07:51:50Z http://eprints.utm.my/id/eprint/96980/ GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy Ghodsiyeh, Danial Akbarzadeh, Saleh Izman, Sudin Moradi, Mona G70.212-70.215 Geographic information system This study proposes a site location assessment model for citrus cropland using multi-criteria evaluation (MCE) and the combination of a set of factors for suitability mapping and delineating the suitable areas for citrus production in Ramsar, Iran. It defines an incorporated method for the suitability mapping of the most appropriate sites for citrus cultivars with an emphasis on the multi-criteria decision analysis (MCDA) process. The combination of geographic information system (GIS) and a modified version of the analytic hierarchy process (AHP) based on the ordered weighted averaging (OWA) technique is also emphasized. The OWA is based on two principles, namely: the weights of relative criterion significance and the order weights. Therefore, the participatory technique was employed to outline the set of standards and the important criterion. The results derived from the GIS-OWA technique indicate that the cultivation of citrus is feasible only in limited areas, which make up 6.7% of the total area near the Caspian Sea. This investigation has shown that the GIS-OWA model can be integrated into MCDA to select the optimal site for citrus production. The present research highlights how multi-criteria in GIS can play a considerable role in decision making for evaluating the suitability of selected sites for citrus production. MDPI 2019 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/96980/1/AnuarAhmad2019_GISMultiCriteriaAnalysisbyOrderedWeightedAveraging.pdf Ghodsiyeh, Danial and Akbarzadeh, Saleh and Izman, Sudin and Moradi, Mona (2019) GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy. Sustainability (Switzerland), 11 (4). pp. 1-17. ISSN 2071-1050 http://dx.doi.org/10.3390/su11041009 DOI : 10.3390/su11041009
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic G70.212-70.215 Geographic information system
spellingShingle G70.212-70.215 Geographic information system
Ghodsiyeh, Danial
Akbarzadeh, Saleh
Izman, Sudin
Moradi, Mona
GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy
description This study proposes a site location assessment model for citrus cropland using multi-criteria evaluation (MCE) and the combination of a set of factors for suitability mapping and delineating the suitable areas for citrus production in Ramsar, Iran. It defines an incorporated method for the suitability mapping of the most appropriate sites for citrus cultivars with an emphasis on the multi-criteria decision analysis (MCDA) process. The combination of geographic information system (GIS) and a modified version of the analytic hierarchy process (AHP) based on the ordered weighted averaging (OWA) technique is also emphasized. The OWA is based on two principles, namely: the weights of relative criterion significance and the order weights. Therefore, the participatory technique was employed to outline the set of standards and the important criterion. The results derived from the GIS-OWA technique indicate that the cultivation of citrus is feasible only in limited areas, which make up 6.7% of the total area near the Caspian Sea. This investigation has shown that the GIS-OWA model can be integrated into MCDA to select the optimal site for citrus production. The present research highlights how multi-criteria in GIS can play a considerable role in decision making for evaluating the suitability of selected sites for citrus production.
format Article
author Ghodsiyeh, Danial
Akbarzadeh, Saleh
Izman, Sudin
Moradi, Mona
author_facet Ghodsiyeh, Danial
Akbarzadeh, Saleh
Izman, Sudin
Moradi, Mona
author_sort Ghodsiyeh, Danial
title GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy
title_short GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy
title_full GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy
title_fullStr GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy
title_full_unstemmed GIS multi-criteria analysis by orderedweighted averaging (OWA): Toward an integrated citrus management strategy
title_sort gis multi-criteria analysis by orderedweighted averaging (owa): toward an integrated citrus management strategy
publisher MDPI
publishDate 2019
url http://eprints.utm.my/id/eprint/96980/1/AnuarAhmad2019_GISMultiCriteriaAnalysisbyOrderedWeightedAveraging.pdf
http://eprints.utm.my/id/eprint/96980/
http://dx.doi.org/10.3390/su11041009
_version_ 1744353697591197696
score 13.211869

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