scholarly journals Multicriteria Personnel Selection by the Modified Fuzzy VIKOR Method

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Rasim M. Alguliyev ◽  
Ramiz M. Aliguliyev ◽  
Rasmiyya S. Mahmudova
Keyword(s):  
Personnel Selection ◽  
Multicriteria Decision Making ◽  
Point Of View ◽  
Approximate Reasoning ◽  
Personnel Evaluation ◽  
Vikor Method ◽  
Information Culture ◽  
Worst Case ◽  
Fuzzy Vikor ◽  
Modified Fuzzy Vikor

Personnel evaluation is an important process in human resource management. The multicriteria nature and the presence of both qualitative and quantitative factors make it considerably more complex. In this study, a fuzzy hybrid multicriteria decision-making (MCDM) model is proposed to personnel evaluation. This model solves personnel evaluation problem in a fuzzy environment where both criteria and weights could be fuzzy sets. The triangular fuzzy numbers are used to evaluate the suitability of personnel and the approximate reasoning of linguistic values. For evaluation, we have selected five information culture criteria. The weights of the criteria were calculated using worst-case method. After that, modified fuzzy VIKOR is proposed to rank the alternatives. The outcome of this research is ranking and selecting best alternative with the help of fuzzy VIKOR and modified fuzzy VIKOR techniques. A comparative analysis of results by fuzzy VIKOR and modified fuzzy VIKOR methods is presented. Experiments showed that the proposed modified fuzzy VIKOR method has some advantages over fuzzy VIKOR method. Firstly, from a computational complexity point of view, the presented model is effective. Secondly, compared to fuzzy VIKOR method, it has high acceptable advantage compared to fuzzy VIKOR method.

A Fuzzy TOPSIS+Worst-Case Model for Personnel Evaluation Using Information Culture Criteria

2016 ◽  
Vol 7 (4) ◽  
pp. 38-66 ◽  
Author(s):  
Rasim M. Alguliyev ◽  
Ramiz M. Aliguliyev ◽  
Rasmiyya S. Mahmudova
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Personnel Evaluation ◽  
Information Culture ◽  
Worst Case ◽  
Entropy Methods ◽  
Fuzzy Mcdm

Personnel evaluation process is aimed at choosing the best alternative to fill the defined vacancy in an organization. It determines the input quality of personnel and thus plays an important role in human resource management. The multi criteria nature and the presence of qualitative factors make it considerably more complex. This paper proposes a hybrid fuzzy MCDM model for personnel evaluation. It combines the fuzzy TOPSIS method with fuzzy worst-case (or entropy) method for linguistic reasoning under group decision making. Fuzzy worst-case and entropy methods are used to get weights of criteria, while fuzzy TOPSIS is utilized to rank the alternatives. The weights obtained from fuzzy worst-case and entropy methods are included in fuzzy TOPSIS computations and the alternatives are evaluated. The fuzzy MCDM for group decision making enables to aggregate subjective assessments of the decision-makers and thus offer an opportunity to perform more robust personnel evaluation procedures. To evaluate the alternatives the authors have formed an executive group consisting of five decision-makers. For evaluation the group has decided to consider five information culture criteria expressed in linguistic variables. A numerical example demonstrated the possibilities of application of the proposed method.

A Fuzzy TOPSIS+Worst-Case Model for Personnel Evaluation Using Information Culture Criteria

2018 ◽  
pp. 1068-1099
Author(s):  
Rasim M. Alguliyev ◽  
Ramiz M. Aliguliyev ◽  
Rasmiyya S. Mahmudova
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Personnel Evaluation ◽  
Information Culture ◽  
Worst Case ◽  
Entropy Methods ◽  
Fuzzy Mcdm

Personnel evaluation process is aimed at choosing the best alternative to fill the defined vacancy in an organization. It determines the input quality of personnel and thus plays an important role in human resource management. The multi criteria nature and the presence of qualitative factors make it considerably more complex. This paper proposes a hybrid fuzzy MCDM model for personnel evaluation. It combines the fuzzy TOPSIS method with fuzzy worst-case (or entropy) method for linguistic reasoning under group decision making. Fuzzy worst-case and entropy methods are used to get weights of criteria, while fuzzy TOPSIS is utilized to rank the alternatives. The weights obtained from fuzzy worst-case and entropy methods are included in fuzzy TOPSIS computations and the alternatives are evaluated. The fuzzy MCDM for group decision making enables to aggregate subjective assessments of the decision-makers and thus offer an opportunity to perform more robust personnel evaluation procedures. To evaluate the alternatives the authors have formed an executive group consisting of five decision-makers. For evaluation the group has decided to consider five information culture criteria expressed in linguistic variables. A numerical example demonstrated the possibilities of application of the proposed method.

scholarly journals Malmquist Productivity Index by Extended VIKOR Method Using Interval Numbers

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Mohammad Fallah ◽  
Amir Mohajeri ◽  
Esmaeil Najafi
Keyword(s):  
Multicriteria Decision Making ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Ideal Solution ◽  
Vikor Method ◽  
Decision Matrix ◽  
Interval Numbers ◽  
Productivity Rate ◽  
The Given ◽  
The Ideal

The VIKOR method was developed for multicriteria optimization of complex systems. It determines the compromise ranking list and the compromise solution obtained with the given weights. This method focuses on ranking and selecting from a set of alternatives in the presence of conflicting criteria. Here, the VIKOR method is used for two timestandt+1. In order to calculate the progress or regression via Malmquist productivity index, the positive and negative ideals at timestandt+1are calculated first. Then we introduce the multi-criteria ranking index based on the particular measure of “closeness” to the ideal solution and calculate the separation of each alternative from the ideal solution at timestandt+1. Then we use the Malmquist productivity index to calculate the progress or regression of all alternatives. In this paper, productivity of alternatives available in decision matrix with interval numbers and their improvement or deterioration is researched. To achieve this practical goal, use of extended VIKOR is made to calculate Malmquist productivity index for multicriteria decision-making (MCDM) problem with interval numbers, and by applying Malmquist productivity index, productivity rate of growth for alternatives is calculated. Finally, a numerical example illustrates and clarifies the main results developed in this paper.

scholarly journals An Integrated Decision Support Model Based on BWM and Fuzzy-VIKOR Techniques for Contractor Selection in Construction Projects

2021 ◽  
Vol 13 (12) ◽  
pp. 6933
Author(s):  
Aziz Naghizadeh Vardin ◽  
Ramin Ansari ◽  
Mohammad Khalilzadeh ◽  
Jurgita Antucheviciene ◽  
Romualdas Bausys
Keyword(s):  
Construction Projects ◽  
Construction Project ◽  
Water Channel ◽  
Multicriteria Decision Making ◽  
Decision Support Model ◽  
Cost Overruns ◽  
Contractor Selection ◽  
Model Based ◽  
Fuzzy Vikor ◽  
Bid Price

Sustainable development of any country to some extent depends on successful accomplishment of construction projects, particularly infrastructures. Contractors have a key role in the success of these projects. Hence, the selection of a competent contractor as a complicated and hard decision process has a vital importance in the destiny of any construction project. Contractor selection is in essence a multicriteria decision-making that ought to encompass so many aspects of the project and the client’s requirements on one hand and the capabilities and past records of the contractors on the other hand. Failure in selecting a competent contractor may cause time and cost overruns; quality shortcomings; increasing in claims, disputes and change orders; and even failure of the project. In spite of deficiencies of selecting a contractor by the rule of “the lowest bid price”, it still prevails in many countries including Iran. In this paper, a new contractor selection model based on the best-worst method (BWM) and well-known Fuzzy-VIKOR techniques is proposed as a solution to overcome the deficiencies of the traditional “lowest bid price” rule. An illustrative example of a water channel construction project verified the applicability of the proposed model in practice.

Accurate location planning for a wind-powered hydrogen refueling station: Fuzzy VIKOR method

2021 ◽  
Vol 46 (67) ◽  
pp. 33360-33374
Author(s):  
Mostafa Rezaei ◽  
Sulaiman Ali Alharbi ◽  
Armin Razmjoo ◽  
Mohamed A. Mohamed
Keyword(s):  
Vikor Method ◽  
Location Planning ◽  
Fuzzy Vikor

scholarly journals Use And Comparison of Topis And Electre Methods In Personnel Selection

2018 ◽  
Vol 22 ◽  
pp. 01021 ◽  
Author(s):  
Bilgin Şenel ◽  
Mine Şenel ◽  
Gizem Aydemir
Keyword(s):  
Personnel Selection ◽  
Selection Process ◽  
Minimum Cost ◽  
Point Of View ◽  
Blue Collar Worker ◽  
Automotive Company ◽  
Worker Selection ◽  
Electre Method ◽  
The Right ◽  
Short Time

One of the most important function of human resources is personnel selection process. This process should be done professionally, in a short time and with minimum cost. After personnel selection process, performance of the hired person is very important for the permanence and success of the company. From this point of view, the aim of this study is to select a personnel among the candidates efficiently, with minimum cost and within a short time in one of the leading companies of Turkey in automotive sector. In order to select the right personnel all criterias which has great impact on blue collar worker selection was decided and these criterias are weighted. From the candidate pool of automotive company, appropriate candidates were selected by using TOPSIS AND ELECTRE method which are multi-criteria decision making methods

scholarly journals An Analytic Theologian Stance on the Existence of God

2013 ◽  
Vol 5 (2) ◽  
pp. 129-146 ◽  
Author(s):  
Benedikt Paul Göcke
Keyword(s):  
Point Of View ◽  
The Other ◽  
Philosophical Discussion ◽  
Existence Of God ◽  
Worst Case ◽  
The One

The existence of God is once again the focus of vivid philosophical discussion. From the point of view of analytic theology, however, people often talk past each other when they debate about the putative existence or non- existence of God. In the worst case, for instance, atheists deny the existence of a God, which no theists ever claimed to exist. In order to avoid confusions like this we need to be clear about the function of the term ‘God’ in its different contexts of use. In what follows, I distinguish between the functions of ‘God’ in philosophical contexts on the one hand and in theological contexts on the other in order to provide a schema, which helps to avoid confusion in the debate on the existence or non-existence of God.

Sign in / Sign up

Export Citation Format

Share Document