scholarly journals A SIMPLIFIED MULTI-CRITERIA EVALUATION MODEL FOR LANDFILL SITE RANKING AND SELECTION BASED ON AHP AND GIS

2015 ◽  
Vol 23 (4) ◽  
pp. 267-278 ◽  
Author(s):  
Debishree KHAN ◽  
Sukha Ranjan SAMADDER
Keyword(s):  
Decision Analysis ◽  
Linear Combination ◽  
Evaluation Model ◽  
Ranking And Selection ◽  
Relative Importance ◽  
Weighted Linear Combination ◽  
Barren Land ◽  
Multi Criteria Evaluation ◽  
Landfill Sites ◽  
Site Ranking

This study used GIS based Multi-criteria Decision Analysis (MCDA) approach for evaluating the most environmentally suitable landfill sites in the study area. The weights of relative importance of the factors guiding landfill siting were estimated using pair-wise comparisons in AHP. The maps showing suitable landfill sites were generated applying a weighted linear combination (WLC) in GIS using a comparison matrix to aggregate different significant scenarios associated with environmental and economic objectives. To determine the appropriate areas where landfill sites can be located, thematic maps for all the criteria were generated using GIS. A final map was produced showing suitability for the location of the landfill sites. The suitable sites having an area equal to or above 4 ha at one place and 90% of which is barren land were considered suitable for landfill. The selected candidate sites were ranked to get the most desirable sites for landfill.

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

2013 ◽  
Vol 16 (5) ◽  
pp. 23-41 ◽  
Author(s):  
Chou Jyh-Rong
Keyword(s):  
Decision Analysis ◽  
Linear Combination ◽  
Weighted Linear Combination ◽  
Decision Matrix ◽  
Multi Criteria Decision Analysis ◽  
Proximity Matrix ◽  
Ranking Of Alternatives ◽  
Complex Decision ◽  
Decision Alternatives ◽  
Ranking Technique

Multi-criteria decision analysis (MCDA) is an alternative approach, which provides a way to systematically structure and analyse complex decision problems. This study presents a novel method of applying the weighted linear combination ranking technique (WLCRT) to MCDA. The proposed WLCRT method is based on the linear combinations of matrix algebra calculations. It has distinct advantages in preference modeling, weight elicitation, and aggregation performance. In this method, the decision matrix of preferences is constructed using a 7-point Likert scale. The weights of criteria are elicited from the proximity matrix of preference relations using the eigenvector method. Then, the weighted generalised means are used to aggregate preference information as well as to rank the order of decision alternatives. The WLCRT method can flexibly reflect different decision attitudes for the decision maker. It is both technically valid and practically useful, and can be used in dealing with multiple criteria analysis problems involving ranking of alternatives.

scholarly journals Flood vulnerability mapping using the spatial multi-criteria evaluation (SMCE) method in the Minraleng Watershed, Maros Regency, South Sulawesi

2020 ◽  
Vol 153 ◽  
pp. 01004
Author(s):  
Muhammad Fadhil ◽  
Yoanna Ristya ◽  
Nahra Oktaviani ◽  
Eko Kusratmoko
Keyword(s):  
Information System ◽  
Rainfall Intensity ◽  
Physical Factors ◽  
Relative Importance ◽  
Flood Vulnerability ◽  
South Sulawesi ◽  
Multi Criteria Evaluation ◽  
Gis Environment ◽  
Very High ◽  
Vulnerable Zones

This study focuses on the assessment of flood-vulnerable areas in the Minraleng watershed, Maros Regency, where the area experiences floods every year. Spatial analysis in the Geographic Information System (GIS) environment has been applied to estimate flood-vulnerable zones using six relevant physical factors, such as rainfall intensity, slope, Elevation, distance from the rivers, land use and soil type. The relative importance of physical factors has been compared in paired matrices to obtain weight values using the Spatial Multi-Criteria Evaluation (SMCE) method. The result showed that the areas located in Camba sub-district had the high vulnerability. The region with a high and very high vulnerability to flood were spread with an area of 436 ha (0,84 %) and 6.168 ha (11.8%).

scholarly journals Evaluation Model in Decision Analysis: Bipolar Approach

Informatica ◽  
2012 ◽  
Vol 23 (3) ◽  
pp. 461-485 ◽  
Author(s):  
Ayeley P. Tchangani ◽  
Yasmina Bouzarour-Amokrane ◽  
François Pérès
Keyword(s):  
Decision Analysis ◽  
Evaluation Model

scholarly journals USING MULTI-CRITERIA ANALYSIS FOR THE STUDY OF HUMAN IMPACT ON AGRO-FORESTRY-PASTORAL ECOSYSTEM IN THE REGION OF KHENCHELA (ALGERIA)

2016 ◽  
Vol XLI-B8 ◽  
pp. 779-783
Author(s):  
A. Bouzekri ◽  
H. Benmessaoud
Keyword(s):  
Geographic Information Systems ◽  
Water Resources ◽  
Linear Combination ◽  
Human Impact ◽  
Physical Environment ◽  
Economic Activity ◽  
Urban Areas ◽  
Weighted Linear Combination ◽  
Multi Criteria Analysis ◽  
Agro Forestry

The objective of this work is to study and analyze the human impact on agro-forestry-pastoral ecosystem of Khenchela region through the application of multi-criteria analysis methods to integrate geographic information systems, our methodology is based on a weighted linear combination of information on four criteria chosen in our analysis representative in the vicinity of variables in relation to roads, urban areas, water resources and agricultural space, the results shows the effect of urbanization and socio-economic activity on the degradation of the physical environment and found that 32% of the total area are very sensitive to human impact.

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