scholarly journals Number of Financial Indicators as a Factor of Multi-Criteria Analysis via the TOPSIS Technique: A Municipal Case Study

Algorithms ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 64 ◽  
Author(s):  
Roman Vavrek ◽  
Jiří Bečica ◽  
Viera Papcunová ◽  
Petra Gundová ◽  
Jana Mitríková
Keyword(s):  
Assessment Tool ◽  
Selection Process ◽  
Financial Health ◽  
Efficiency Assessment ◽  
Private And Public ◽  
Multi Criteria Analysis ◽  
Topsis Technique ◽  
Key Indicators ◽  
Selection Of

Multi-criteria analysis is a decision-making and efficiency assessment tool for application in both the private and public sectors. Its application is preceded by the selection of suitable indicators and a homogenous set of variants, as well as suitable methods based on the nature of the input data. The goal of the submitted research is to highlight the importance of selecting suitable indicators using a case study assessment of the financial health of a municipality—more precisely, the efficiency of management of this municipality. Four key indicators, thirty-two homogenous subjects, and one multi-criteria analysis method were identified in this study based on the theoretical foundations of the specific issue. These elements were processed into a total of 14 variants depending on the number of assessed indicators. Then, these results were subjected to statistical verification alongside verification using the Jaccard index. Based on the acquired results, we highlight the need for correct and expert identification of the relevant sets of alternatives (the criteria matrix) and expert discussion, which should precede the selection of the assessed indicators and objectify this selection process as much as possible. Assessment based on a low number of indicators was shown to be insufficient, highly variable, and diverse, and these differences were partially eliminated as the number of assessed indicators increased.

Selecting a Pesticide Fate Model at the Watershed Scale Using a Multi-criteria Analysis

2006 ◽  
Vol 41 (3) ◽  
pp. 283-295 ◽  
Author(s):  
Renaud Quilbé ◽  
Alain N. Rousseau ◽  
Pierre Lafrance ◽  
Jacinthe Leclerc ◽  
Mohamed Amrani
Keyword(s):  
Best Management Practices ◽  
Management Practices ◽  
Ease Of Use ◽  
Watershed Scale ◽  
Water Quality Standards ◽  
Best Management ◽  
Multi Criteria Analysis ◽  
Selection Framework ◽  
Selection Of

Abstract Numerous models have been developed over the last decades to simulate the fate of pesticides at the watershed scale. Based on a literature review, we inventoried thirty-six models categorized as management, research, screening or multimedia models, each of them having specific strengths and weaknesses. Given this large number of models, it may be difficult for potential users (stakeholders or scientists) to find the most suited one with respect to their needs. To help in this process, this paper proposes a pragmatic approach based on a multi-criteria analysis. Selection criteria are defined following the user's needs and classified in five classes: modelling characteristics, output variables, model applicability, possibilities to simulate best management practices (BMPs) and ease of use. The relative importance of each criterion is quantified by a weight and the total score of a model is calculated by adding the resulting weights of satisfied criteria. This selection framework is illustrated with a case study that consists in selecting a model to develop water quality standards at the watershed scale with respect to the implementation of BMPs. This resulted in the selection of three models: BASINS, SWAT and GIBSI.

scholarly journals Supplier selection using different metric functions

2015 ◽  
Vol 25 (3) ◽  
pp. 413-423 ◽  
Author(s):  
S.E. Omosigho ◽  
Dickson Omorogbe
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Order Preference ◽  
Metric Functions ◽  
Metric Function ◽  
Topsis Technique ◽  
Intuitionistic Fuzzy Topsis ◽  
Selection Of

Supplier selection is an important component of supply chain management in today?s global competitive environment. Hence, the evaluation and selection of suppliers have received considerable attention in the literature. Many attributes of suppliers, other than cost, are considered in the evaluation and selection process. Therefore, the process of evaluation and selection of suppliers is a multi-criteria decision making process. The methodology adopted to solve the supplier selection problem is intuitionistic fuzzy TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution). Generally, TOPSIS is based on the concept of minimum distance from the positive ideal solution and maximum distance from the negative ideal solution. We examine the deficiencies of using only one metric function in TOPSIS and propose the use of spherical metric function in addition to the commonly used metric functions. For empirical supplier selection problems, more than one metric function should be used.

scholarly journals Processo seletivo de tutores da UAB da UFAL: aspectos para uma seleção criteriosa e significativa

2015 ◽  
Vol 14 (3) ◽  
pp. 545-560
Author(s):  
Rosana Sarita de Araujo
Keyword(s):  
Selection Process ◽  
Legal Aspects ◽  
Legal Basis ◽  
Case Study Methodology ◽  
Proof Of Knowledge ◽  
Palabras Clave ◽  
Study Methodology ◽  
Investigación Cualitativa ◽  
Selection Of

Resumo: O trabalho discute o processo seletivo de tutores da UAB da UFAL, considerando os aspectos legais, bem como os aspectos técnico-pedagógicos que traduzem a seleção como criteriosa e significativa. Caracterizada como pesquisa qualitativa utiliza a metodologia de estudo de caso e de comparação para estudo de dois editais da UFAL de processos seletivos de tutores. A análise dos dados aponta as limitações que a legislação delineia para a seleção de tutores, as diferenças nos índices de aprovação dos candidatos em relação às etapas utilizadas no processo de seleção, os impactos da prova de conhecimento versus entrevista, bem como demonstra a crescente credibilidade do processo de seleção de tutores da UFAL.   Palavras-chave: Seleção de tutores. Base legal. Aspectos pedagógicos Abstract: The work discusses the selection process of the UAB tutors from UFAL, considering the legal aspects, as well as pedagogical and technical aspects that reflect the selection as judicious and significant. Characterized as qualitative research it uses the case study methodology and comparison for the study of two UFAL public notices for the selective processes of tutors. Data analysis points out the limitations that legislation delineates for the selection of tutors, differences in approval rates of candidates regarding the steps used in the selection process, the impacts of proof of knowledge versus interview, and it also demonstrates the growing credibility of the UFAL tutors selection process. Keywords: Selection of tutors. Legal basis. Pedagogical aspects Resumen: En este trabajo se discute el proceso de selección de los tutores de la UAB UFAL, considerando los aspectos legales , así como los aspectos técnicos y pedagógicos que traducen la selección minunciosa y significativa. Caracterizado como investigación cualitativa utiliza la metodología de estudio de caso y comparación con el estudio de dos convocatorias de la UFAL de procesos de selección de tutores. La análisis de los datos muestran las limitaciones que la legislación esboza para seleccionar los tutores, las diferencias en los índices de aprobación de los candidato en relación a las fases utilizadas en el proceso de selección , el impacto de la prueba de conocimientos frente a la entrevista , y demuestra la credibilidad creciente del proceso de selección de tutores de la UFAL . Palabras clave: Selección de tutores. Base legal. Aspectos pedagógicos 

Multi-Criteria Selection of Wind Turbine Using TOPSIS Approach

2020 ◽  
Author(s):  
Shafiqur Rehman ◽  
Salman A. Khan ◽  
Luai M. Alhems
Keyword(s):  
Wind Turbine ◽  
Wind Farm ◽  
Selection Process ◽  
Geographical Location ◽  
Real Data ◽  
Maximum Energy ◽  
Decision Criteria ◽  
Topsis Approach ◽  
Selection Of

Abstract The recent revolution in the use of renewable energy worldwide has opened many dimensions of research and development for sustainable energy. In this context, the use of wind energy has received notable attention. One critical decision in the development of a wind farm is the selection of the most appropriate turbine compatible with the characteristics of the geographical location under consideration in order to harness maximum energy. This selection process considers multiple decision criteria which are often in conflict with each other, as improving one criterion negatively affects one or more other criteria. Therefore, it is desired to find a tradeoff solution where all selection criteria are simultaneously optimized to the best possible level. This paper proposes a TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) based approach for multi-criteria selection of wind turbine. Three decision criteria, namely, hub height, wind speed, and net capacity factor are used in the decision process. A case study is shown on real data collected from the Aljouf region located at an altitude of 753 meters above sea level in the northern part of Saudi Arabia. Seventeen turbines with rated capacities ranging from 1.5 GW to 3 GW from various manufacturers are evaluated. Results indicate that Vestas V110 turned out to be the most appropriate turbine for the underlying site.

Investigating Barriers That May Influence the Implementation and Use of E-HRM Tools in the Organization

2021 ◽  
pp. 350-370
Author(s):  
Hamid Agahi ◽  
Sarist Gulthawatvichai
Keyword(s):  
Human Resource ◽  
Selection Process ◽  
Business Sector ◽  
Human Resource Managers ◽  
Structured Interviews ◽  
Resource Managers ◽  
Recruitment And Selection ◽  
Study Participants ◽  
Selection Of

Human resource managers (HRMs) can use electronic-human resource management (E-HRMs) tools to improve human resources practices, including recruitment and selection of employees. Grounded in the theoretical framework of a unified theory of acceptance (UTAUT), this present qualitative case study investigated the potential barriers that influence the implementation and use of E-HRMs in Thailand's business sector. Human resource professionals from the business sector, including hotels in Thailand, were the study participants. Semi-structured interviews with open-ended questions were used as data collection instruments. Qualitative data collected was analyzed using thematic content analysis. The challenges impact the recruitment and selection process by making the employment process complex and poor selection of employees. HRMs should support E-HRMs as the advanced technologies to improve recruitment and selection of competent employees. In conclusion, E-HRMs are effective information systems that support electronic recruitment and selection of qualified employees.

Optimal Location of Sub-Station Using Q-GIS and Multi-Criteria Decision Making Approach

2018 ◽  
Vol 10 (2) ◽  
pp. 65-79 ◽  
Author(s):  
Shabbir Uddin ◽  
Sandeep Chakravorty ◽  
Amitava Ray ◽  
Karma Sonam Sherpa
Keyword(s):  
Site Selection ◽  
Solution Method ◽  
Assessment Method ◽  
Optimal Location ◽  
Multi Criteria Decision Making ◽  
Order Preference ◽  
Topsis Technique ◽  
Strength Of Association ◽  
Selection Of

In this article, methodologies have been proposed for site selection of sub-station considering technical and non-technical constraints. Firstly, a systematic frame has been developed considering various factors that influence the optimal location of the sub-station. Various factors considered are evaluated using DEMATEL-QFD. An evaluation has been done between the outcome of the TOPSIS (Technique for order preference by similarity to ideal solution) method and the COPRAS (Compressed Proportional Assessment) method. Finally, Spearman rank co-relation co-efficients indicates the strength of association of both the methodologies. A case study is done using GIS to prove the justification of the methodologies to the applied area. The application of the methodologies will help the decision maker improve the plan, location and grid renovation of the distribution sub-stations.

Airstrip Site Selection in Coastal Labrador

1981 ◽  
Vol 35 (1) ◽  
pp. 17-25
Author(s):  
J. D. Innes ◽  
E. H. Smith ◽  
Allan Fiander
Keyword(s):  
Site Selection ◽  
Coastal Area ◽  
State Of The Art ◽  
Selection Process ◽  
Geometric Design ◽  
Digital Mapping ◽  
Data Requirements ◽  
Selection Of ◽  
Design Techniques

This paper examines a case study of the selection of nine airstrip sites in the coastal area of Labrador. The procedure used involved the procurement of better mapping for the site selection process. The benefits of this process are examined in the context of the data requirements for good airstrip selection. The site selection process is then examined utilizing state of the art digital mapping and computerized geometric design techniques.

scholarly journals Moving towards Smart Cities: A Selection of Middleware for Fog-to-Cloud Services

2018 ◽  
Vol 8 (11) ◽  
pp. 2220 ◽  
Author(s):  
Hind Bangui ◽  
Said Rakrak ◽  
Said Raghay ◽  
Barbora Buhnova
Keyword(s):  
Selection Process ◽  
Smart Cities ◽  
Cloud Model ◽  
Research Question ◽  
Edge Computing ◽  
Cloud Services ◽  
Fuzzy Similarity ◽  
Customer Services ◽  
Topsis Technique ◽  
Selection Of

Smart cities aim at integrating various IoT (Internet of Things) technologies by providing many opportunities for the development, governance, and management of user services. One of the ways to support this idea is to use cloud and edge computing techniques to reduce costs, manage resource consumption, enhance performance, and connect the IoT devices more effectively. However, the selection of services remains a significant research question since there are currently different strategies towards cloud computing, including services for central remote computing (traditional cloud model) as well as distributed local computing (edge computing). In this paper, we offer an integrated view of these two directions and the selection among the edge technologies based on MCDA (Multiple Criteria Decision Analysis) algorithms. To this end, we propose a foglet as a middleware that aims at achieving satisfactory levels of customer services by using fuzzy similarity and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) to facilitate the rating and selection of services in the fog-to-cloud environment. Then, we describe the selection process with a numerical example, and conclude our work with an outline of future perspectives.

Selection of Leak Detection Systems by Aggregation of Experts’ Judgment

2014 ◽  
Author(s):  
Sirous Yasseri
Keyword(s):  
Decision Maker ◽  
Selection Process ◽  
Leak Detection ◽  
Fuzzy Topsis ◽  
Detection Systems ◽  
Good Compromise ◽  
Criteria For Selection ◽  
Selection Of

Numerous leak detection systems (LDS) using a variety of technologies are on the market. Since LDS are designed for a particular use, then the evaluation and selection process requires suitable metrics and involvement from all stakeholders. This paper proposes to use15 criteria for selection of LDS. Each criterion is first rated for their importance by a number of experts. Then, the same experts are asked to rate a list of candidate LDSs. Fuzzy TOPSIS is used to aggregate Experts’ judgment. A case study is presented to demonstrate the application of the method. This method would indicate how a good compromise might look like. This could aid the decision-maker to weigh options and set priority and decide on a system.

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