A New Fuzzy ELECTRE Based Multiple Criteria Method for Personnel Selection

Jasemi, Milad; Ahmadi, Elham

doi:10.24200/sci.2017.4435

Cited by 12 publications

(15 citation statements)

References 22 publications

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“…for benefit type criteria ( (k pq , w k pq ), (r pq , w r pq ) ) ; for cost type criteria (20) Step 3: Formulate the optimization model either by Eq. (12) or Eq. 18according to the known information of the weight vector and solve them.…”

Section: Proposed Approach Based On Divergence Measurementioning

confidence: 99%

“…Under these different environments, various endeavors have been given by the scholars to offer different kinds of methods and algorithm to solve MCDM problem in various fields by using either aggregation operators (AO) [7][8][9][10][11][12][13][14] or information measure (IM) [15][16][17][18][19][20][21][22]. For example, under the IFS environment, the weighted average and geometric AOs are explained by the authors in [7,8].…”

Section: Introductionmentioning

confidence: 99%

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Novel Exponential divergence measure of complex intuitionistic fuzzy sets with an application to decision-making process

Garg

Rani

2019

Scientia Iranica

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As a generalization of the intuitionistic fuzzy sets (IFSs), complex IFSs (CIFSs) is a powerful and worthy tool to realize the imprecise information by using complex-valued membership degrees with an extra term, named as phase term. Divergence measure is a valuable tool to determine the degree of discrimination between the two sets. Driven by these fundamental characteristics, it is fascinating to manifest some divergence measures to the CIFSs. In this paper, we explain a method to solve the multi-criteria decision-making (MCDM) problem under CIFS environment. For it, firstly, the divergence measures are introduced between two CIFSs and examined their several properties and relations. Secondly, a novel algorithm is given based on the proposed measures to solve the problems in which weights corresponding to criteria are resolved using maximizing deviation method. Thirdly, a reasonable example is provided to verify the developed approach and to exhibit its practicality and utility with a comparative analysis to show its more manageable and adaptable nature.

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Section: Proposed Approach Based On Divergence Measurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Novel Exponential divergence measure of complex intuitionistic fuzzy sets with an application to decision-making process

Garg

Rani

2019

Scientia Iranica

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“…This paper used AHP method as the simplest technique of ranking. However, during the past few years, there have been other competitive techniques which can be used for ranking alternatives such as weighted distance-based approximation (WDBA) and distance-based approximation (DBA) method [62][63][64], Euclidean Distance Based Approximation (EDBA) [65], Multi-Criteria Decision Making (MCDM) and fuzzy set theory (FST) [66][67][68], Visekriterijumsko Kompromisno Rangiranje (VIKOR) MCDM method [69], Fuzzy Set Theory and Weighted Distance Based Approximation [70], Fuzzy-TOPSIS (F-TOPSIS) and TOPSIS method [71,72], Fuzzy Distance Based Approach (FDBA)' method [73], fuzzy-based matrix methodology [74], Fuzzy Complex Proportional Assessment (COPRAS) [75], Fuzzy Analytical Hierarchy Process (FAHP), COPRAS, VIKOR, WDBA [76], Hybrid MCDM methods [77] and fuzzy ELECTRE approach [78]. Table 1.…”

Section: Critical Success Factors Determination While Assessing the Nmentioning

confidence: 99%

Technology valuation of NTBFs in the field of cleaner production with regard to the investors’ flexibilities and uncertainties in public policy

2019

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Technology valuation, especially in the early stages of new technology-based firms (NTBFs) growth is one of the most critical challenges, which most often hinders the investor and entrepreneur's deals during the venture capital (VC) financing process. It is clear that uncertainties arising from the likelihood of implementing public policies could significantly affect the volatility of NTBFs cash flows in the field of cleaner production. Commonly, these kinds of technologies require public supportive policies for achieving success. Consequently, their technology valuation is more challenging and traditional valuation methods are not suitable anymore because of the definitive assumption of cash flow and ignoring the investors' flexibilities and uncertainties. Therefore, this paper proposes a method by introducing a framework based on the decision tree and the real options analysis which is tailored to meet the technology valuation of such firms during all stages of their growth. Furthermore, unlike previous papers that have utilized the compound options, option to choose has been used to apply investors' flexibilities. Then, the proposed framework is supported by a case study, which has been conducted to verify and validate it. Finally, the conclusion section discusses the contributions and limitations of the study and provides directions for future research.

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“…In real life, personnel selection is a Multi-Criteria Decision Making (MCDM) problem, and from the MCDM perspective, it has attracted the attention of many researchers [14]. Jasemi et al [15] used a new fuzzy ELimination Et Choix Traduisant la REalité (ELECTRE) method for personnel selection. Karabasevic et al [16] presented an approach for the selection of personnel.…”

Section: Introductionmentioning

confidence: 99%

“…Compute the Euclidean distance between positive (D * i ) and negative (D − i ) ideal solution by applying Equations (14) and (15), as presented in Table 21.…”

mentioning

confidence: 99%

A Bipolar Neutrosophic Multi Criteria Decision Making Framework for Professional Selection

et al. 2020

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Professional selection is a significant task for any organization that aims to select the most appropriate candidates to fill well-defined vacancies up. In the recruitment process, various individual characteristics are involved, such as leadership, analytical skills, independent thinking, innovation, stamina and personality, ambiguity and imprecision. It outlines staff contribution and therefore plays a significant part in human resources administration. Additionally, in the era of the Internet of Things and Big Data (IoTBD), professional selection would face several challenges not only to the safe selection and security but also to make wise and prompt decisions especially in the large-scale candidates and criteria from the Cloud. However, the process of professional selection is often led by experience, which contains vague, ambiguous and uncertain decisions. It is therefore necessary to design an efficient decision-making algorithm, which could be further escalated to IoTBD. In this paper, we propose a new hybrid neutrosophic multi criteria decision making (MCDM) framework that employs a collection of neutrosophic analytical network process (ANP), and order preference by similarity to ideal solution (TOPSIS) under bipolar neutrosophic numbers. The MCDM framework is applied for chief executive officer (CEO) selection in a case study at the Elsewedy Electric Group, Egypt. The proposed approach allows us to assemble individual evaluations of the decision makers and therefore perform accurate personnel selection. The outcomes of the proposed method are compared with those of the related works such as weight sum model (WSM), weight product model (WPM), analytical hierarchy process (AHP), multi-objective optimization based on simple ratio analysis (MOORA) and ANP methods to prove and validate the results.

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A New Fuzzy ELECTRE Based Multiple Criteria Method for Personnel Selection

Cited by 12 publications

References 22 publications

Novel Exponential divergence measure of complex intuitionistic fuzzy sets with an application to decision-making process

Novel Exponential divergence measure of complex intuitionistic fuzzy sets with an application to decision-making process

Technology valuation of NTBFs in the field of cleaner production with regard to the investors’ flexibilities and uncertainties in public policy

A Bipolar Neutrosophic Multi Criteria Decision Making Framework for Professional Selection

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