scholarly journals A Two-Phase Model for Personnel Selection Based on Multi-Type Fuzzy Information

Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1703
Author(s):  
Chen-Tung Chen ◽  
Wei-Zhan Hung
Keyword(s):  
Decision Making ◽  
Personnel Selection ◽  
Influence Factors ◽  
Quantitative Information ◽  
Decision Makers ◽  
Preference Ranking ◽  
Linguistic Variables ◽  
Two Phase ◽  
Promethee Method ◽  
High Level

From the viewpoint of human resource management, personnel selection is one of the more important issues for enterprises in a high-level competitive environment. In general, many influence factors, quantitative and qualitative, affect the decision-making process of personnel selection. For considering qualitative factors, decision-makers cannot always easily judge the suitable degree of each applicant. Under this situation, this research proposes a systematic decision-making method based on computing with linguistic variables. First, unsuitable applicants are filtered by considering the quantitative information of each applicant. At this stage, technique for order of preference by similarity to ideal solution (TOPSIS) and entropy methods are aggregated to eliminate unsuitable applicants in accordance with their closeness coefficient values. Second, experts (or decision-makers) use different types of 2-tuple linguistic variables to express their opinions of suitable candidates with respect to qualitative criteria. At this stage, we consider different preference functions in the preference ranking organization method for enrichment evaluation (PROMETHEE) method to calculate the outranking index of each suitable candidate. Next, we aggregate the closeness coefficient and outranking index of each suitable applicant to determine the ranking order. In order to illustrate the computational processes, an example demonstrates the practicability of the two-phase personnel selection method. The benefit of the proposed method is as follows. (1) It reduces the time for reviewing and evaluating the huge numbers of applicants. (2) It avoids subjective judgment by experts to determine the weights of all criteria. Finally, conclusions and contributions are discussed at the end of this paper.

scholarly journals Review of PROMETHEE method in transportation

2021 ◽  
Vol 27 (1) ◽  
pp. 69-74
Author(s):  
Laila Oubahman ◽  
Szabolcs Duleba
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Evaluation Method ◽  
Scale Effects ◽  
Decision Makers ◽  
Preference Ranking ◽  
Promethee Ii ◽  
Partial Ranking ◽  
Complete Ranking ◽  
Promethee Method

Abstract In recent decades, decision support system has been constantly growing in the field of transportation planning. PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation) method is an efficient decision-making support deployed in case of a finite number of criteria. It provides a partial ranking through PROMETHEE I and a complete ranking with PROMETHEE II. This outranking methodology is characterized by the elimination of scale effects between criteria and managing incomparability with the comprehensive ranking. However, PROMETHEE does not provide guidance to assign weights to criteria and assumes that decision makers are able to allocate weights. This review presents an overview of PROMETHEE models applied in transportation and points out the found gaps in literature.

New hybrid AHP-QFD-PROMETHEE decision-making support method in the hesitant fuzzy environment: an application in packaging design selection

2021 ◽  
pp. 1-17
Author(s):  
Byanca Porto de Lima ◽  
Fernando Augusto Silva Marins ◽  
Aneirson Francisco da Silva
Keyword(s):  
Decision Making ◽  
Quality Function Deployment ◽  
Fuzzy Ahp ◽  
Decision Makers ◽  
Preference Ranking ◽  
Packaging Design ◽  
Promethee Ii ◽  
Promethee Method ◽  
Design Selection ◽  
Decision Making Support

This paper presents a new hybrid decision-making support method (New Hesitant Fuzzy AHP-QFD-PROMETHEE II Method), which jointly uses the Analytic Hierarchy Process (AHP), the Quality Function Deployment (QFD) and the Preference Ranking Method for Enrichment Evaluation (PRO-METHEE II), as well as the Hesitant Fuzzy Linguistic Term Sets (HFLTS) to capture hesitation and aggregate divergent opinions from different experts. A real application of the new method to a packaging design selection problem for an automotive company is described, finding that AHP assisted in determining the importance of QFD’s customer requirements (CRs) and PROMETHEE II was used to select the best packaging design. With this same problem, for the purpose of validating the proposed method, a comparative analysis was made with the use of the Hesitant Fuzzy AHP-QFD-TOPSIS method and also with the traditional AHP-QFD-PROMETHEE method, which makes it impossible to capture the hesitation of decision makers. The result showed similarity in the rankings of design alternatives found in the three methods application. The proposed method proved advantageous for solving problems that can generally be solved with the QFD House of Quality but have serious difficulties when decision makers have divergent opinions and hesitate in evaluating criteria and alternatives.

scholarly journals Application Decision Support System using PROMETHEE Method

2019 ◽  
Author(s):  
Ade Parlaungan Nasution ◽  
Dahrul Aman Harahap ◽  
Ronal Watrianthos
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Programming Language ◽  
Conflict Of Interest ◽  
Decision Makers ◽  
Preference Ranking ◽  
Student Selection ◽  
Promethee Method ◽  
Selection Decision ◽  
Application Decision

Decision making is a condition that must occur at various top management levels and sometimesinterventions or conflict of interest occur in making decisions. Preference Ranking for Organization Method forEnrichment Evaluation (PROMETHEE) is a method that can be used to help decision makers in this case thebest student selection decision at a university. Tests carried out using the PROMETHEE method can produce acomplete ranking by eliminating the low value of each process in the PROMETHEE method and by developapplication using programming language it’s much faster to get decision.

scholarly journals Application Decision Support System using PROMETHEE Method

2019 ◽  
Author(s):  
Ronal Watrianthos
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Programming Language ◽  
Conflict Of Interest ◽  
Decision Makers ◽  
Preference Ranking ◽  
Student Selection ◽  
Promethee Method ◽  
Selection Decision ◽  
Application Decision

Decision making is a condition that must occur at various top management levels and sometimesinterventions or conflict of interest occur in making decisions. Preference Ranking for Organization Method forEnrichment Evaluation (PROMETHEE) is a method that can be used to help decision makers in this case thebest student selection decision at a university. Tests carried out using the PROMETHEE method can produce acomplete ranking by eliminating the low value of each process in the PROMETHEE method and by developapplication using programming language it’s much faster to get decision.

scholarly journals The Influence of Core Self-Evaluations on Group Decision Making Processes: A Laboratory Experiment

2020 ◽  
Vol 10 (2) ◽  
pp. 29 ◽  
Author(s):  
Matteo Cristofaro ◽  
Pier Luigi Giardino ◽  
Luna Leoni
Keyword(s):  
Decision Making ◽  
Research Question ◽  
Decision Makers ◽  
Simulation Game ◽  
Manufacturing Firm ◽  
Decision Making Processes ◽  
Team Decision ◽  
High Level ◽  
Overconfidence Bias ◽  
Core Self

The personal trait called Core Self-Evaluations (CSE) has been receiving increasing attention from behavioral strategy scholars due to its ability to predict job performance and to explain some facets of decision-making processes. However, despite previous studies hypothesizing that managers with high values of CSE are intuitive thinkers, beyond any doubt of their capacities and that they significantly lead to positive results for their organization, no one has empirically investigated these assumptions. This gap can be substantiated by the following research question: “How do high Core Self-Evaluations influence team decision-making processes?”. Answering it provides insights on how the evaluations that decision makers make about situations (and the consequent actions that are implemented) highly depend on decision makers’ inner traits and their effect on cognition. To fill this gap, 120 graduate students—divided into groups of four—took part in a simulation game and were asked to make decisions acting the role of General Manager of a small-sized manufacturing firm. Tests aimed at identifying the CSE and intuitive/reflecting thinking approach of participants were administered; moreover, the performance resulting from their decision-making processes and their estimation of reached results were collected. Results show that an average level of CSE is preferable to balance intuitive and reflective thinking, as well as avoiding overconfidence bias and reaching the best performance possible. This work suggests that there is a huge misattribution in considering a high level of CSE as being beneficial for decision-making processes and consequent performance.

Evaluation of energy sources based on sustainability factors using integrated fuzzy MCDM approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Santosh K. Saraswat ◽  
Abhijeet K. Digalwar
Keyword(s):  
Decision Making ◽  
Research Work ◽  
Economic Benefits ◽  
Decision Makers ◽  
Preference Ranking ◽  
Energy Sources ◽  
Content Type ◽  
Weighted Sum Method ◽  
Weight Calculation ◽  
Social Environmental

Purpose The purpose of this paper is to develop an integrated fuzzy multi-criteria decision-making (MCDM) model for evaluation of the energy alternates in India based on their sustainability. Design/methodology/approach A fuzzy analytical hierarchy process approach is used for the weight calculation of the criteria and the fuzzy technique for order preference by similarity to the ideal solution is used for ranking of the energy alternates. Seven energy sources – thermal, gas power, nuclear, solar, wind, biomass and hydro energy are considered for the assessment purpose on the basis of sustainability criteria, namely, economic, technical, social, environmental, political and flexible. Findings The result of the analysis shows that economics is the highest weight criterion, followed by environmental and technical criteria. Solar energy was chosen as the most sustainable energy alternate in India, followed by wind and hydro energy. Research limitations/implications Few other MCDM techniques such as VIseKriterijumska Optimizacija I Kompromisno Resenje (multi-criteria optimization and compromise solution), weighted sum method and preference ranking organization method for enrichment evaluations – II can also be explored for the sustainability ranking of the energy alternates. However, the present model has also provided a good result. Practical implications The present research work will help the decision-makers and organizations in the evaluation and prioritizing the various energy sources on the scale of sustainability. Social implications Research finding provides guidance to government and decision-makers regarding the development of social conditions through energy security, job creation and economic benefits. Originality/value Research work can be act as a supplement for the investors and decision-makers specifically in prioritizing the investment perspective and to support other multi-perspective decision-making problems.

scholarly journals Ranking of hydropower projects based on sustainability criteria in India using multicriteria decision making methods

2021 ◽  
Vol 10 (3) ◽  
pp. 230
Author(s):  
Anuja Shaktawat ◽  
Shelly Vadhera
Keyword(s):  
Decision Making ◽  
Planning Process ◽  
Sustainability Assessment ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Preference Ranking ◽  
Analytic Hierarchy ◽  
The Sustainable Development ◽  
Promethee Ii ◽  
Sustainability Criteria

Assessment of hydropower projects with respect to sustainability criteria is a multidimensional and a complex issue that decision makers usually face during planning process. In hydropower projects, it is important to consider technical, environmental and social parameters instead of purely economic ones for sustainability assessment and decision making. Multi-criteria decision making (MCDM) methods offer a practical approach to a problem having conflicting criteria. The flexibility to consider several criteria and objectives simultaneously made MCDM methods well accepted in the field of energy planning. This paper aims for applicability of MCDM methods which will facilitate the decision makers to select the most sustainable hydropower projects by making real and logical choices based on various sustainability criteria. For comprehensively rank hydropower projects of Indian region based on sustainability criteria four MCDM methods are applied i.e., analytic hierarchy process (AHP), technique for order of preference by similarity to ideal solution (TOPSIS), preference ranking organization method for enrichment evaluations (PROMETHEE II) and elimination and choice translating reality (ELECTRE III). To ensure better decision making the eight criteria selected are compatible to the sustainable development of hydropower projects.

scholarly journals A Comparative Study between GLP and GBWM

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Reda M. S. Abdulaal ◽  
Omer A. Bafail
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Comparative Study ◽  
Simplex Method ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
The Other ◽  
Ideal Solution ◽  
Linguistic Variables ◽  
Best Worst Method

When decision-makers’ judgments are uncertain, they often express their opinions using grey linguistic variables. Once used, the data often retains its grey nature throughout all subsequent decision-making iterations. Multicriteria decision-making (MCDM) is a tool used when making complicated decisions and in circumstances where several criteria require evaluation to choose the most desirable option. Grey data serves as the basis for several MCDM methods. This paper compares two MCDM methods, Grey-Linear-Programming (GLP) and Grey-Best-Worst-Method (GBWM), in terms of the weights of decision criteria and their rankings. Moreover, Grey-The Technique for Order of Preference by Similarity to Ideal Solution (GTOPSIS) was used to rank the weights of the two methods. Study findings demonstrated that GBWM requires more mathematical calculations than GLP, based on linear programming's classic simplex method. On the other hand, when GTOPSIS follows GLP, the alternative rank does not change compared to when GTOPSIS followed GBWM. For the applications used in this comparison, GLP procedure is considered simpler than GBWM procedure.

Multi-Criteria Decision Making: A Systematic Review

2021 ◽  
Vol 14 ◽  
Author(s):  
Nayli Adriana Azhar ◽  
Nurul Asyikin Mohamed Radzi ◽  
Wan Siti Halimatul Munirah Wan Ahmad
Keyword(s):  
Decision Making ◽  
Pairwise Comparison ◽  
Decision Makers ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
Complex Problems ◽  
Current Implementation ◽  
Network Process ◽  
Complete Survey ◽  
Hierarchy Process

: Multi Criteria Decision Making (MCDM) helps decision makers (DMs) solve highly complex problems. Accordingly, MCDM has been widely used by DMs from various fields as an effective and reliable tool for solving various problems, such as in site and supplier selection, ranking and assessment. This work presents an in-depth survey of past and recent MCDM techniques cited in the literature. These techniques are mainly categorised into pairwise comparison, outranking and distance-based approaches. Some well-known MCDM methods include the Analytical Hierarchy Process (AHP), Analytical Network Process (ANP), Elimination et Choix Traduisant la Realité (ELECTRE), Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Each of these methods is unique and has been used in a vast field of interest to support DMs in solving complex problems. For a complete survey, discussions related to previous issues and challenges and the current implementation of MCDM are also presented.

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