scholarly journals Multicriteria Decision Analysis and Grouping of Analytical Procedures for Phthalates Determination in Disposable Baby Diapers

Molecules ◽  
2021 ◽  
Vol 26 (22) ◽  
pp. 7009
Author(s):  
Magdalena Fabjanowicz ◽  
Justyna Płotka-Wasylka ◽  
Marek Tobiszewski
Keyword(s):  
Decision Analysis ◽  
Multicriteria Decision Analysis ◽  
Ideal Solution ◽  
Green Analytical Chemistry ◽  
Multicriteria Decision ◽  
Figures Of Merit ◽  
Order Preference ◽  
Analytical Procedures ◽  
Selection Of ◽  
Analytical Figures Of Merit

This study presents the application of one of the tools from the multicriteria decision analysis set (MCDA), the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Selected green analytical chemistry metrics were used to rank analytical procedures for the phthalate determination in disposable baby diapers. Nine analytical procedures were assessed in order to find one that has the lowest environmental impact and the best analytical figures of merit. Nine different criteria, where weighting was based on the experts’ evaluation, were used in the procedures’ assessment. With the use of TOPSIS, an easy and straightforward technique, selection of the most appropriate procedure was made.

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.

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