scholarly journals An Approach to Criteria Weights Determination by Integrating the DELPHI and the Adapted SWARA Methods

2017 ◽  
Vol 22 (3) ◽  
pp. 15 ◽  
Author(s):  
Darjan Karabasevic ◽  
Dragisa Stanujkic ◽  
Snezana Urosevic ◽  
Gabrijela Popovic ◽  
Mladjan Maksimovic
Keyword(s):  
Delphi Technique ◽  
Evaluation Criteria ◽  
Sales Managers ◽  
Domain Experts ◽  
Criteria Weights ◽  
Survey Sample ◽  
Recruitment And Selection ◽  
Final Selection ◽  
Selection Of

The process of evaluation and selection of personnel is characterized by defining a specific set of criteria. The process of defining and determining the weights of the criteria is a significant, because the evaluation and the final selection of personnel are carried out on the basis of the defined set of criteria. Therefore, this manuscript is aimed at creating a set of the sales managers’ evaluation criteria as well as defining the weights of such criteria. The survey sample was 79 domain experts in the field of the recruitment and selection of personnel. The proposed approach based on the integration of the Delphi technique and the adapted SWARA methods was successfully applied for the purpose of defining the weights of the criteria and completely  responded to the requirements in terms of defining the criteria and determining the weights of the criteria.

scholarly journals Determination of the importance of evaluation criteria during the process of recruitment and selection of personnel based on the application of the SWARA method

Ekonomika ◽  
2021 ◽  
Vol 67 (4) ◽  
pp. 1-9
Author(s):  
Milica Popović ◽  
Gabrijela Popović ◽  
Darjan Karabašević
Keyword(s):  
Personnel Selection ◽  
Selection Process ◽  
Evaluation Criteria ◽  
Domain Experts ◽  
Recruitment And Selection ◽  
Weighting Coefficients ◽  
Final Selection ◽  
Selection Of

Personnel selection for an organization is an extremely important process. Modern organizations strive to improve the process of recruitment and selection of personnel as much as possible, in order to provide the organization with quality personnel and thus long-term competitiveness. In addition, the evaluation criteria on which the recruitment and selection process is based is also important, as it has a large impact on the final selection of candidates. Therefore, the aim of this paper is to propose the application of multi-criteria decision-making methods for the process of determining the weighting coefficients of evaluation criteria. Accordingly, the SWARA (Step-Wise Weight Assessment Ratio Analysis) method for determining weights was applied in the paper. The SWARA method proved to be extremely reliable when it comes to defining the weights of evaluation criteria, primarily due to its simplicity and the fact that respondents and domain experts could easily express their views on the issue.

scholarly journals Application of a D Number based LBWA Model and an Interval MABAC Model in Selection of an Automatic Cannon for Integration into Combat Vehicles

2021 ◽  
Vol 71 (1) ◽  
pp. 34-45
Author(s):  
Nebojsa Hristov ◽  
Dragan Pamucar ◽  
M.S.M. E. Amine
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Decision Makers ◽  
Weapon System ◽  
Interval Numbers ◽  
Weapon Systems ◽  
System Validation ◽  
Criteria Weights ◽  
D Model ◽  
Selection Of

A decision making procedure for selection of a weapon system involves different, often contradictory criteriaand reaching decisions under conditions of uncertainty. This paper proposes a novel multi-criteria methodology based on D numbers which enables efficient analysis of the information used for decision making. The proposed methodology has been developed in order to enable selection of an efficient weapon system under conditions when a large number of hierarchically structured evaluation criteria has to be processed. A novel D number based Level Based Weight Assessment – Multi Attributive Border Approximation area Comparison (D LBWA-MABAC) model is used for selection of an automatic cannon for integration into combat vehicles. Criteria weights are determined based on the improved LBWA-D model. The traditional MABAC method has been further developed by integration of interval numbers. A hybrid D LBWA-MABAC framework is used for evaluation of an automatic cannon for integration into combat vehicles. Nine weapon systems used worldwide have been ranked in this paper. This multicriteria approach allows decision makers to assess options objectively and reach a rational decision regarding the selection of an optimal weapon system. Validation of the proposed methodology is performed through sensitivity analysis which studies how changes in the weights of the best criterion and the elasticity coefficient affect the ranking results.

Measurements of the Cape Astrometric Survey of the Southern Hemisphere

1978 ◽  
Vol 48 ◽  
pp. 515-521
Author(s):  
W. Nicholson
Keyword(s):  
Southern Hemisphere ◽  
Automatic Measuring ◽  
Measuring Machine ◽  
Final Selection ◽  
Selection Of

SummaryA routine has been developed for the processing of the 5820 plates of the survey. The plates are measured on the automatic measuring machine, GALAXY, and the measures are subsequently processed by computer, to edit and then refer them to the SAO catalogue. A start has been made on measuring the plates, but the final selection of stars to be made is still a matter for discussion.

scholarly journals Sustainability in the Business Sector: A Fuzzy Multicriteria Decision-Making Model for Financial Leasing Company Selection of the Vietnamese SMEs

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110360
Author(s):  
Fengsheng Chien ◽  
Chia-Nan Wang ◽  
Ka Yin Chau ◽  
Van Thanh Nguyen ◽  
Viet Tinh Nguyen
Keyword(s):  
Decision Making ◽  
Interest Rates ◽  
Small And Medium Enterprises ◽  
Multicriteria Decision Making ◽  
Primary Concern ◽  
Multicriteria Decision ◽  
Financial Leasing ◽  
Criteria Weights ◽  
Leasing Company ◽  
Selection Of

The uses and management of capital is extremely important to the operation of any businesses. However, not all businesses have available capital, so the use of loans in many different forms is always an effective solution in managing corporate finance. Accompanying with businesses, many financial leasing companies have implemented products and programs to lend money to businesses with low interest rates. So, choosing the best financial leasing company is a primary concern of businesses. To increase competitiveness, financial leasing companies often offer preferential conditions to attract businesses. Choosing the best financial leasing service to leasing is important and necessary to those businesses. Thus, the selection of a financial leasing company by small and medium enterprises benefits from the application of Multicriteria Decision-Making (MCDM) methods which allows the decision maker to consider various qualitative and quantitative criteria. In this article, the author applied Fuzzy Analytical Network Process (FANP) to calculate the related criteria weights of the financial leasing company selection problem of businesses. Then, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is applied to rank the potential decision-making units. This research establishes one complete and efficient model for financial leasing company selection using FANP and TOPSIS methods. The proposed model is then applied into a real-world case study to demonstrate its feasibility.

scholarly journals Recruitment of Employees—Assumptions of the Risk Model

Risks ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 55
Author(s):  
Halina Sobocka-Szczapa
Keyword(s):  
Risk Model ◽  
Model Identification ◽  
Added Value ◽  
Competitive Advantages ◽  
Recruitment Process ◽  
Process Risk ◽  
Model Formation ◽  
Risk Determinants ◽  
Final Selection ◽  
Selection Of

The aim of this article is to present the risk model premises related to worker recruitment. Recruitment affects the final selection of workers, whose activities contribute to corporate competitive advantages. Hiring unfavorable workers can influence the results produced by an organization. This risk mostly affects situations when searching for workers via the external labor market, although it can also affect internal recruitment. Therefore, it is necessary to attempt to identify recruitment risk determinants and classify their meaning in such processes. Model formation has both theoretical and intuitive characteristics. Model dependencies and their characteristics are identified in this paper. We attempted to assess the usability of the risk model for economic praxis. The analyses and results provide a model identification of dependencies between the factors determining a workers recruitment process and the risk which is caused by this process (employing inadequate workers who do not meet the employer’s expectations). The identification of worker recruitment process determinants should allow for practically reducing the risk of employing an inadequate worker and contribute to the reduction in unfavorable recruitment processes. The added value of this publication is the complex identification of recruitment process risk determinants and dependency formulations in a model form.

scholarly journals Evaluation and Selection of Integrated Energy System Construction Scheme Equipped with Smart Energy Management and Control Platform Using Single-Valued Neutrosophic Numbers

2021 ◽  
Vol 13 (5) ◽  
pp. 2615
Author(s):  
Junqing Wang ◽  
Wenhui Zhao ◽  
Lu Qiu ◽  
Puyu Yuan
Keyword(s):  
Energy Management ◽  
Evaluation Criteria ◽  
Energy System ◽  
System Construction ◽  
Interval Numbers ◽  
Construction Scheme ◽  
Smart Energy Management ◽  
Integrated Energy System ◽  
And Control ◽  
Selection Of

Since application of integrated energy systems (IESs) has formed a markedly increasing trend recently, selecting an appropriate integrated energy system construction scheme becomes essential to the energy supplier. This paper aims to develop a multi-criteria decision-making model for the evaluation and selection of an IES construction scheme equipped with smart energy management and control platform. Firstly, a comprehensive evaluation criteria system including economy, energy, environment, technology and service is established. The evaluation criteria system is divided into quantitative criteria denoted by interval numbers and qualitative criteria. Secondly, single-valued neutrosophic numbers are adopted to denote the qualitative criteria in the evaluation criteria system. Thirdly, in order to accommodate mixed data types consisting of both interval numbers and single-valued neutrosophic numbers, the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method is extended into a three-stage technique by introducing a fusion coefficient μ. Then, a real case in China is evaluated through applying the proposed method. Furthermore, a comprehensive discussion is made to analyze the evaluation result and verify the reliability and stability of the method. In short, this study provides a useful tool for the energy supplier to evaluate and select a preferred IES construction scheme.

Recruitment and selection of couples for intervention research: Achieving developmental homogeneity at the cost of demographic diversity.

2006 ◽  
Vol 74 (4) ◽  
pp. 777-784 ◽  
Author(s):  
Ronald D. Rogge ◽  
Rebecca J. Cobb ◽  
Lisa B. Story ◽  
Matthew D. Johnson ◽  
Erika E. Lawrence ◽  
...  
Keyword(s):  
Intervention Research ◽  
Demographic Diversity ◽  
Recruitment And Selection ◽  
The Cost ◽  
Selection Of

scholarly journals Sensor, Signal, and Imaging Informatics

2017 ◽  
Vol 26 (01) ◽  
pp. 120-124
Author(s):  
W. Hsu ◽  
S. Park ◽  
Charles Kahn
Keyword(s):  
Medical Informatics ◽  
Scientific Work ◽  
Imaging Informatics ◽  
Sensor Signal ◽  
Imaging Data ◽  
Extensive Search ◽  
Challenges And Opportunities ◽  
Final Selection ◽  
Selection Of

Summary Objective: To summarize significant contributions to sensor, signal, and imaging informatics published in 2016. Methods: We conducted an extensive search using PubMed® and Web of Science® to identify the scientific contributions published in 2016 that addressed sensors, signals, and imaging in medical informatics. The three section editors selected 15 candidate best papers by consensus. Each candidate article was reviewed by the section editors and at least two other external reviewers. The final selection of the six best papers was conducted by the editorial board of the Yearbook. Results: The selected papers of 2016 demonstrate the important scientific advances in management and analysis of sensor, signal, and imaging information. Conclusion: The growing volume of signal and imaging data provides exciting new challenges and opportunities for research in medical informatics. Evolving technologies provide faster and more effective approaches for pattern recognition and diagnostic evaluation. The papers selected here offer a small glimpse of the high-quality scientific work published in 2016 in the domain of sensor, signal, and imaging informatics.

Candidate Recruitment and Selection in Latin America: A Framework for Analysis

2008 ◽  
Vol 50 (4) ◽  
pp. 27-58 ◽  
Author(s):  
Peter M. Siavelis ◽  
Scott Morgenstern
Keyword(s):  
Latin America ◽  
Political Systems ◽  
Incentive Structure ◽  
Institutional Variables ◽  
Selection Processes ◽  
Dependent Variables ◽  
Political Recruitment ◽  
Subsequent Behavior ◽  
Recruitment And Selection ◽  
Selection Of

AbstractThis article provides a theoretical framework for analyzing the recruitment and selection of legislative candidates in Latin America. It argues that political recruitment and candidate selection are undertheorized for Latin America yet have determinative impacts on political systems, often overriding the influence of more commonly studied institutional variables. The article elucidates a typology of legislative candidates based on the legal and party variables that lead to the emergence of particular selection methods, as well as the patterns of loyalty generated by those methods. It analyzes the recruitment and selection processes as independent and dependent variables, underscoring the significant effect these procedures have on the incentive structure and subsequent behavior of legislators. Those factors, in turn, have important consequences for democratic governability and the performance of presidentialism.

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