Application of the Fuzzy CODAS Method Based on Fuzzy Envelopes for Hesitant Fuzzy Linguistic Term Sets: A Case Study on a Personnel Selection Problem

Yalçın, Neşe; Pehlivan, Nimet Yapıcı

doi:10.3390/sym11040493

Cited by 59 publications

(27 citation statements)

References 83 publications

(88 reference statements)

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“…However, the CODAS technique gives results when crisp values are available. In order to present an MCDM technique, which enables to deal with uncertainties, this approach was extended in later studies (Keshavarz Ghorabaee et al, 2016a;Yalçın & Pehlivan, 2019;Vinodh & Wankhede, 2020;Roy et. al., 2019) with the help of the fuzzy set theory introduced by Zadeh (1965).…”

Section: The Fuzzy Codas Techniquementioning

confidence: 99%

“…Although the fuzzy CODAS technique that is a part of the proposed integrated fuzzy model is a novel multi-criteria decision-making (MCDM) approach, it has been observed that it has been applied in some studies for solving decision-making problems in various fields. For example; evaluation of IT technology alternatives for a university (Dahooie et al, 2020), evaluation of environmental quality (Ouhibi & Frikha, 2020), the selection of vehicle shredding facility location (Simic et al, 2021), evaluation of renewable energy alternatives , evaluation of personnel selection problem (Yalçın & Pehlivan, 2019), market segment evaluation (Keshavarz Ghorabaee et al, 2016a). The number of studies using the F-CODAS technique is very limited and none of these papers dealt with decision-making problems encountered in the field of logistics.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of tanker vehicle selection using a novel hybrid fuzzy MCDM technique

Görçün

Subramanian²,

Küçükönder

2021

Decis. Mak. Appl. Manag. Eng.

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Petroleum product transportation considered as one of the crucial parts of dangerous material transportation is a risky logistics activity. The selection of the appropriate tanker vehicles may be a suitable solution to reduce the risks and increase the efficiency and performance of the fuel transportation companies. However, the selection of a suitable road tanker vehicle is not an easy task for decision-makers as there are many conflicting criteria and many decision alternatives. In addition, decision-makers may have to decide with insufficient information since collecting crisp values may not be possible at all times. Hence, many ambiguities affecting the evaluation results exist in an assessment process performed to select the best tanker vehicle option. This paper suggests a novel integrated fuzzy approach to solve these decision-making problems. Sensitivity analysis is conducted to test the validation of the proposed integrated fuzzy approach and its results was performed by forming 130 scenarios. The results of sensitivity analysis prove that the proposed model can be applied to solve these kinds of decision-making problems.

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Section: The Fuzzy Codas Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of tanker vehicle selection using a novel hybrid fuzzy MCDM technique

Görçün

Subramanian²,

Küçükönder

2021

Decis. Mak. Appl. Manag. Eng.

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“…The results depicted in Table 8 were further analyzed with the Spearman's rank correlation coefficients. The coefficients stimulate a profound understanding of the degree of agreement [79,80] between the ranks generated by the proposed technique as compared to the other four techniques. The coefficients that are listed in Table 9 are higher than 0.7, which showed that the result of the proposed technique is approximately consistent with that of WSM, TOPSIS, and PCBU.…”

Section: Comparison With Other Techniquesmentioning

confidence: 99%

An Alternate Unsupervised Technique Based on Distance Correlation and Shannon Entropy to Estimate λ0-Fuzzy Measure

2020

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λ0-measure is a special type of fuzzy measure. In the context of multi-attribute decision making (MADM), the measure can be used together with Choquet integral to model the interdependencies that usually present between the decision attributes. Unfortunately, the range of techniques available to estimate λ0-measure values is too limited i.e., only four techniques are available to this date. Besides, the review on literature shows that each of these existing techniques either requires some initial data from the decision-makers or misrepresents the actual interdependencies held by the attributes. Thus, an alternate unsupervised technique is needed for the estimation of λ0-measure values. This study has developed such a technique by integrating the idea of distance correlation and Shannon entropy. In this technique, the two inputs required to estimate λ0-measure values, namely, the interdependence degrees and fuzzy densities are determined by utilizing the distance correlation measures and entropy weights, respectively. An evaluation to rank the websites owned by five different hospitals located in Sabah, Malaysia, was conducted to illustrate the usage of the technique. A similar evaluation was also performed with a few selected MADM techniques for comparison purposes, where the proposed technique is found to have produced the most consistent ranking. From the literature perspective, this study has contributed an alternate unsupervised technique that can estimate λ0-measure values without necessitating any additional data from the decision-makers, and at the same time can better capture the interdependencies held by the attributes.

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“…Grey additive ratio assessment (ARAS-G) and the stepwise weight assessment ratio analysis (SWARA) were integrated to derive the criteria weights and to determine the final ranking order of all candidates. Yalçın and Yapıcı Pehlivan [42] used the hesitant fuzzy linguistic terms to express the evaluation opinions of experts to deal with the personnel selection problem. In order to justify the usefulness of this method, fuzzy WASPAS (Weighted Aggregated Sum Product Assessment), fuzzy ARAS, fuzzy EDAS (Evaluation based on Distance from Average Solution), fuzzy TOPSIS, and fuzzy WASPAS were used to analyze and evaluate the personnel selection results by using the same data.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Chen

Hung²

2020

Mathematics

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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.

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Application of the Fuzzy CODAS Method Based on Fuzzy Envelopes for Hesitant Fuzzy Linguistic Term Sets: A Case Study on a Personnel Selection Problem

Cited by 59 publications

References 83 publications

Evaluation of tanker vehicle selection using a novel hybrid fuzzy MCDM technique

Evaluation of tanker vehicle selection using a novel hybrid fuzzy MCDM technique

An Alternate Unsupervised Technique Based on Distance Correlation and Shannon Entropy to Estimate λ0-Fuzzy Measure

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

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