Multicriteria Decision Analysis Applied in the Selection Of Suitable Areas for Disposal of Solid Waste In Zona Da Mata, Minas Gerais, Brazil

2017 ◽  
Vol 43 (1) ◽  
pp. 47-64 ◽  
Author(s):  
Thaís deC. Felicori ◽  
EduardoA.G. Marques
Keyword(s):  
Decision Analysis ◽  
Solid Waste ◽  
Minas Gerais ◽  
Multicriteria Decision Analysis ◽  
Multicriteria Decision ◽  
Selection Of

scholarly journals Selection of invasive wild pig countermeasures using multicriteria decision analysis

2017 ◽  
Vol 574 ◽  
pp. 1164-1173 ◽  
Author(s):  
Matthew C. Brondum ◽  
Zachary A. Collier ◽  
Christopher S. Luke ◽  
Buddy L. Goatcher ◽  
Igor Linkov
Keyword(s):  
Decision Analysis ◽  
Multicriteria Decision Analysis ◽  
Multicriteria Decision ◽  
Selection Of ◽  
Wild Pig

VP64 Post-Graduation Selection Using Multi-Criteria Decision Analysis

2017 ◽  
Vol 33 (S1) ◽  
pp. 178-179
Author(s):  
Marisa Santos ◽  
Kátia Senna ◽  
Carlos Magliano ◽  
Jessica Baldissara
Keyword(s):  
Decision Analysis ◽  
Graduate Programs ◽  
Writing Skills ◽  
Value Theory ◽  
Degree Program ◽  
Scientific Writing ◽  
Multicriteria Decision Analysis ◽  
Full Time ◽  
Multicriteria Decision ◽  
Selection Of

INTRODUCTION:Selecting candidates for graduate programs is considered to be a complex task, often subject to failures, especially regarding to the appraisal of non-cognitive (1,2) skills (for example, Motivation). Identifying suitable candidates is important for the overall success of the graduate programs, since dropouts and low productivity negatively affect the program classification by the Brazilian Governmental Agency.This study aims to describe the use of Multicriteria Decision Analysis (3) in the selection of candidates for a master degree program in Health Technology Assessment (HTA).METHODS:The Multicriteria Decision Analysis (MCDA) technique was used to measure value in the selection of students applying for a masters degree program, in 2017, using Multi-Attribute Value Theory methods (MAVT) method. The examiners group consisting of full-time professors who selected the criteria, blinded ranked and assigned weight relative to each criterion, using swing weights technique, normalized to 100 percent. During the face to face interview with the students, each evaluator professor filled an individual spreadsheet based on pre-defined questions and curriculum analysis. The results were summarized with a mean. For criterion performance, a value from 0 until 3 was assigned if the candidate didn't meet the criterion, partially meet and fully meet. The performance scores were multiplied by the weight of each criterion, the results were summarized by simple additive model, and the candidates were ranked.RESULTS:An interview was conducted with the examining group evaluating MCDA asking for difficulties, time consumed and if the result was considered fair. Seven criteria were listed: “Comprehension of HTA”, “Motivation”, “Ability to disseminate information”, “Availability to attend the course”, “Scientific production”, “Potential to work in HTA area” and “Scientific writing skills”.The highest weight (24 percent) was attributed to the “Potential to work in HTA area” and “Scientific writing skills” (20 percent). The evaluating group was unanimous in considering the process easy, fast and fair.CONCLUSIONS:The MCDA technique was applied successfully in student selection. Further prospective studies are needed.

Selection of the Best Inland Waterway Structure: A Multicriteria Decision Analysis Approach

2015 ◽  
Vol 29 (8) ◽  
pp. 2733-2749 ◽  
Author(s):  
Mohammad Azizur Rahman ◽  
Lena Jaumann ◽  
Nils Lerche ◽  
Fabian Renatus ◽  
Ann Kathrin Buchs ◽  
...  
Keyword(s):  
Decision Analysis ◽  
Multicriteria Decision Analysis ◽  
Analysis Approach ◽  
Multicriteria Decision ◽  
Inland Waterway ◽  
Selection Of

scholarly journals GIS-based Multicriteria Decision Analysis for Settlement Areas: A Case Study in Canik

2021 ◽  
Author(s):  
Cem Kilicoglu
Keyword(s):  
Decision Analysis ◽  
Natural Disasters ◽  
Urban Areas ◽  
Multicriteria Decision Analysis ◽  
Multicriteria Decision ◽  
Flood Risks ◽  
Total Study Area ◽  
New Settlements ◽  
Settlement Areas ◽  
Selection Of

Abstract In addition to population growth throughout the world due to migration from rural to urban areas, population density is constantly increasing in certain regions, thereby necessitating the introduction of new settlements in these regions. However, in the selection of settlement areas, no sufficient preliminary examinations are conducted; consequently, various natural disasters may cause significant life and property losses. Herein, the most suitable settlement areas were determined using multicriteria decision analysis in Canik District, where the population is constantly increasing. Therefore, this study is aimed to incorporate a new perspective to the studies on this subject. Within the scope of the study, landslide and flood risks, which are among the most important natural disasters in the region, were primarily evaluated, and risky areas were determined. Thereafter, suitable and unsuitable areas in terms of biocomfort, which affect people’s health, peace, comfort, and psychology, and which are also significant in terms of energy efficiency, were determined. At the last stage of the study, the most suitable settlement areas that are suitable in terms of both biocomfort and low level of landslide and flood risks were determined; the calculated proportion of such areas to the total study area is only 2.1%. Therefore, because these areas are insufficient for the establishment of new settlements, areas with low landslide and flood risks but unsuitable for biocomfort were secondarily determined; the ratio of these areas was calculated as 56.8%. The remaining areas are inconvenient for the establishment of settlements owing to the risk of landslides and floods; the ratio of these areas was calculated as 41.1%. The study is exemplary in the respect that the priority for the selection of settlement areas is specified, which can be applied for selecting new settlements for each region considering different criteria.

scholarly journals ANÁLISE MULTICRITÉRIO NA DEFINIÇÃO DE ÁREAS PRIORITÁRIAS PARA RECUPERAÇÃO FLORESTAL NA BACIA DO RIO DOCE, EM MINAS GERAIS

Nativa ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 81
Author(s):  
Franciane Carla De Almeida ◽  
Eduarda Martiniano De Oliveira Silveira ◽  
Fausto Weimar Acerbí Junior ◽  
Luciano Cavalcante De Jesus França ◽  
Inácio Thomaz Bueno ◽  
...  
Keyword(s):  
Decision Analysis ◽  
Atlantic Forest ◽  
Minas Gerais ◽  
Multicriteria Decision Analysis ◽  
Forest Recovery ◽  
Spatial Decision Support System ◽  
Brazilian Atlantic Forest ◽  
Multicriteria Decision ◽  
Priority Areas ◽  
The Right

A Floresta Atlântica é um dos ecossistemas mais fragmentado e explorado. Como atividades de restauração florestal são dispendiosas, a Análise de Decisão Multicritério (ADMC) integrada ao SIG (Sistema de Informações Geográficas) fornece um satisfatório suporte de decisão espacial para produção de mapas de forma eficiente. O colapso de uma barragem de mineração em áreas de floresta Atlântica, resultou na destruição de comunidades por rejeitos de mineração na bacia hidrográfica do Rio Doce. Assim, o objetivo deste estudo foi mapear áreas prioritárias para recuperação florestal na bacia do Rio Doce, Minas Gerais. Utilizou-se a ADMC baseada em SIG, e associada ao método do Processo Analítico Hierárquico (AHP) e Combinação Linear Ponderada (CLP). Cinco fatores foram utilizados com distintos pesos: distância da rede de drenagem, distância do fragmento de vegetação nativa, declividade, classe de solo e precipitação. De acordo com o mapa de áreas prioritárias produzido, 92,69% da área foi classificado como área de importância baixa ou muito baixa para recuperação florestal e, 7,31% como área de média, alta e muito alta prioridade. A ADMC é de fácil implementação, produzindo mapas que podem predizer as soluções adequadas para conduzir ações de recuperação, desde que a base de dados seja fidedigna para obter resultados satisfatórios.Palavras-chave: manejo de ecossistemas; combinação linear ponderada; processo analítico hierárquico. MULTRICRITERIA ANALYSIS TO DEFINE PRIORITY AREAS FOR FOREST RECOVERY IN THE RIO DOCE BASIN, MINAS GERAIS ABSTRACT: The Brazilian Atlantic forest is one of the most fragmented ecosystems and exploited Brazilian biome. As restoration activities are expensive, multicriteria decision analysis (MCDA) integrated with GIS (geographic information system) provide a satisfactory spatial decision support system to efficiently produce maps. The collapse of a mining dam in a region of Brazilian Atlantic forest, resulted in the destruction of communities by a river of mud and mining waste. Thus, the objective of this study was to map and identify priority areas for forest recover in the Rio Doce Basin, Minas Gerais. We used GIS-based multicriteria decision analysis associated with the analytic hierarchy process (AHP) and weighted linear combination (WLC) method in the aggregation of criteria. Five factors were used, receiving different weights: distance from the drainage network, distance from the native vegetation patches, slope, soil class and precipitation. According to the priority areas map, 92.69% of the area was classified as an area of low or very low importance for forest recovery and the remained (2.92%) of the Rio Doce basin was mapped as an area with high and very high priority for forest recovery. The ADMC is easy to implement, producing maps that can predict the right solutions to conduct recovery actions, provided the database is trusted for satisfactory results.Keywords: ecossystem management; linear weighted combination; analytical hierarchical process.

scholarly journals Rehabilitation of an Industrial Water Main Using Multicriteria Decision Analysis

Water ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 3180
Author(s):  
Nelson Carriço ◽  
Dídia Covas ◽  
Maria do Céu Almeida
Keyword(s):  
Decision Analysis ◽  
Robustness Analysis ◽  
Multicriteria Decision Analysis ◽  
Industrial Water ◽  
Pipe Failure ◽  
Problem Structuring ◽  
Multicriteria Decision ◽  
Assessment Metrics ◽  
Water Main ◽  
Selection Of

This paper demonstrates the application of multicriteria decision analysis (MCDA) methodology in a real case study aiming to choose the best rehabilitation intervention of an industrial water main. This methodology is composed of three main stages: problem identification, structuring, and evaluation. Problem structuring, a crucial stage for the outcomes, includes identifying objectives, selecting scenarios within the analysis period, defining problem alternatives, and defining the problematic type. Problem evaluation includes the selection of assessment metrics, selection of the aggregation method, application of the method, and a sensitivity and robustness analysis. Two scenarios, nine assessment metrics, and seven alternatives are established, and two ranking methods (the additive model and ELECTRE III method) are used to compare the alternatives. The results show that the best solution corresponds to building a new pipe and deactivating the existing one, as it significantly reduces the pipe failure risk and O&M costs, whereas the worst solution is always the status quo case, since it is the only alternative that does not improve the system performance, independently of the ranking method and the analyzed scenario.

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