A weighted linear combination ranking technique for multi-criteria decision analysis

Chou, Jyh-Rong

doi:10.4102/sajems.v16i5.639

Cited by 5 publications

(3 citation statements)

References 45 publications

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“…In this case, it was adopted as the assessment was run parallel to the prevailing COVID-19 spread mitigation efforts. Aggregation is a process of combining several values into a single one so that the final result of aggregation takes into account a given manner all the individual values [32]. There are several ways in which indicators can be aggregated in MCDA [30].…”

Section: Multi-criteria Decision Analysis (Mcda)-weighting and Aggregmentioning

confidence: 99%

Socio-Economic Vulnerability to COVID-19: The Spatial Case of Greater Kampala Metropolitan Area (GKMA)

Bamweyana¹,

Okello²,

Ssengendo³

et al. 2020

JGIS

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COVID-19 has presented itself with an extreme impact on the resources of its epi-centres. In Uganda, there is uncertainty about what will happen especially in the main urban hub, the Greater Kampala Metropolitan Area (GKMA). Consequently, public health professionals have scrambled into resource-driven strategies and planning to tame the spread. This paper, therefore, deploys spatial modelling to contribute to an understanding of the spatial variation of COVID-19 vulnerability in the GKMA using the socioeconomic characteristics of the region. Based on expert opinion on the prevailing novel Coronavirus, spatially driven indicators were generated to assess vulnerability. Through an online survey and auxiliary datasets, these indicators were transformed, classified, and weighted based on the BBC vulnerability framework. These were spatially modelled to assess the vulnerability indices. The resultant continuous indices were aggregated, explicitly zoned, classified, and ranked based on parishes. The resultant spatial nature of vulnerability to COVID-19 in the GKMA sprawls out of major urban areas, diffuses into the peri-urban, and thins into the sparsely populated areas. The high levels of vulnerability (24.5% parishes) are concentrated in the major towns where there are many shopping malls, transactional offices, and transport hubs. Nearly half the total parishes in the GKMA (47.3%) were moderately vulnerable, these constituted mainly the parishes on the outskirts of the major towns while 28.2% had a low vulnerability.

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Section: Multi-criteria Decision Analysis (Mcda)-weighting and Aggregmentioning

confidence: 99%

Socio-Economic Vulnerability to COVID-19: The Spatial Case of Greater Kampala Metropolitan Area (GKMA)

Bamweyana¹,

Okello²,

Ssengendo³

et al. 2020

JGIS

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“…The Weighted Linear Combination method was used to aggregate the -preference information‖ (Chou, 2013) as expressed in terms of the criteria weights, which led to the subsequent ranking of land suitability types.…”

Section: S=mentioning

confidence: 99%

“…The work combined the Analytic Hierarchy Process (AHP) and Weighted Linear Combination (WLC) methods and applied Geographic Information Systems. The AHP was used to determine criteria weights as in (Akıncı et al, 2013) and the WLC was used to aggregate the -preference information‖ (Chou, 2013) as expressed in terms of the criteria weights, which led to the subsequent ranking of land suitability types.…”

Section: General Introductionmentioning

confidence: 99%

A Land Suitability Analysis of the Vhembe District, South Africa, the Case of Maize and Sorghum

Mufungizi

Musakwa

Gumbo

2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Sustainable development goals (SDGs) 1 and 2 stand for “No poverty” and “Zero hunger” respectively. Achieving these goals cannot be separated from promoting sustainable agriculture and ensuring livelihoods, especially for rural communities. This study sought to determine the suitability of land for the cultivation of maize and sorghum crops in Vhembe District, South Africa. The study applied the Analytical Hierarchy Process (AHP) and the Weighted Linear Combination (WLC), multi-criteria decision-making techniques, for criteria weights calculations and suitability maps calculations respectively within a Geographic Information System (GIS) environment. Six criteria were used; Soil pH, Soil Structure, Rainfall, Maximum Temperature, Minimum Temperature and Elevation. A consistency ratio (CR) of 0.035 was obtained for maize criteria weights and 0.036 for sorghum criteria weights. The results revealed that only limited portions of the whole district are highly suitable for the cultivation of Maize with 15.01% and Sorghum with 19.39 of the land arable for farming. This suggests lower maize and sorghum crops yields in the district and the paper recommends more cultivation of other drought resistant crops other than maize and sorghum.

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Safety assessment of natural gas purification plant

Chen

Khan

Jing

2018

Process Safety and Environmental Protection

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A weighted linear combination ranking technique for multi-criteria decision analysis

Cited by 5 publications

References 45 publications

Socio-Economic Vulnerability to COVID-19: The Spatial Case of Greater Kampala Metropolitan Area (GKMA)

Socio-Economic Vulnerability to COVID-19: The Spatial Case of Greater Kampala Metropolitan Area (GKMA)

A Land Suitability Analysis of the Vhembe District, South Africa, the Case of Maize and Sorghum

Safety assessment of natural gas purification plant

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