Picture fuzzy extension of the CODAS method for multi-criteria vehicle shredding facility location

Šimić, Vladimir; Karagöz, Selman; Deveci, Muhammet; Aydın, Nezir

doi:10.1016/j.eswa.2021.114644

Cited by 78 publications

(29 citation statements)

References 49 publications

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“…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%

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: 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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“…In literature, various other MCDM methods such as Evaluation Based on Distance from Average Solution (EDAS; Keshavarz Ghorabaee et al, 2015Ghorabaee et al, , 2016Ghorabaee et al, , 2017aGhorabaee et al, , 2018, Combinative Distance-based Assessment (CODAS; Simic et al, 2021), Additive Ratio Assessment (ARAS; Karagoz et al, 2021), and measurement of alternatives and ranking according to compromise solution (MARCOS; Pamucar, Iordache, et al, 2020) exist. However, there are multiple advantages of adopted MCDM methods within this study.…”

Section: Introductionmentioning

confidence: 99%

A Decision-Making Model Based on TOPSIS, WASPAS, and MULTIMOORA Methods for University Location Selection Problem

Miç

Antmen

2021

SAGE Open

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With the growing population increase and following young population’s desire to study at the university, political authorities are supporting university and higher education investments, especially in the last 10 years. This situation has increased the number of universities considerably. Because a university will provide socioeconomic dynamism to both the development of the country and the region, choosing the right university location has become a significant problem nowadays. In line with this, this study is focused on supporting the new university location decision in a wide region in Turkey where currently the number of universities in the region is relatively low despite the high population density in the area. Alternative cities to be utilized in the study are determined particularly taking the demographic structure into consideration and various multicriteria decision-making (MCDM) techniques are applied. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Weighted Aggregated Sum Product Assessment (WASPAS), and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) are applied to a real case study. Related criteria and alternative locations are specified by consulting seven experts. Within the study, both the results of these methods are presented, and also sensitivity analyses are conducted to observe how sensitive the results are to the changes in the criteria weights. The results obtained are purposed to aid decision makers in this field.

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“…After the production of fuzzy sets, another useful tool to handle imprecise information, called the rough set model, was developed by Pawlak [24], in 1982. Both the fuzzy set theory and rough set theory have the limitation that they are unable to handle parameterized values, thus are not effective in situations considering opinions based on different parameters.…”

Section: Introductionmentioning

confidence: 99%

“…With a different perspective, Sahu et al [ 13 ] utilized a hybridized distance measure based on the theories of PFSs and rough sets for the career selection of students. For more important terminologies related to PFSs, the readers may refer to [ 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

A New Group Decision-Making Technique under Picture Fuzzy Soft Expert Information

Tchier

Ali

Gulzar

et al. 2021

Entropy

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As an extension of intuitionistic fuzzy sets, the theory of picture fuzzy sets not only deals with the degrees of rejection and acceptance but also considers the degree of refusal during a decision-making process; therefore, by incorporating this competency of picture fuzzy sets, the goal of this study is to propose a novel hybrid model called picture fuzzy soft expert sets by combining picture fuzzy sets with soft expert sets for dealing with uncertainties in different real-world group decision-making problems. The proposed hybrid model is a more generalized form of intuitionistic fuzzy soft expert sets. Some novel desirable properties of the proposed model, namely, subset, equality, complement, union and intersection, are investigated together with their corresponding examples. Two well-known operations AND and OR are also studied for the developed model. Further, a decision-making method supporting by an algorithmic format under the proposed approach is presented. Moreover, an illustrative application is provided for its better demonstration, which is subjected to the selection of a suitable company of virtual reality devices. Finally, a comparison of the initiated method is explored with some existing models, including intuitionistic fuzzy soft expert sets.

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Picture fuzzy extension of the CODAS method for multi-criteria vehicle shredding facility location

Cited by 78 publications

References 49 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

A Decision-Making Model Based on TOPSIS, WASPAS, and MULTIMOORA Methods for University Location Selection Problem

A New Group Decision-Making Technique under Picture Fuzzy Soft Expert Information

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