Using the COMET Method in the Sustainable City Transport Problem: an Empirical Study of the Electric Powered Cars

Sałabun, Wojciech; Karczmarczyk, Artur

doi:10.1016/j.procs.2018.07.224

Cited by 61 publications

(33 citation statements)

References 37 publications

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“…The Characteristic Objects METhod (COMET) is based on fuzzy logic and triangular fuzzy sets. The accuracy of the COMET method was verified in previous works [20,30,62]. The formal notation of the COMET must be recalled based on [63][64][65], and Figure 2 presents the flowchart of the COMET method as summarizing.…”

Section: Cometmentioning

confidence: 65%

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Efficiency of Methods for Determining the Relevance of Criteria in Sustainable Transport Problems: A Comparative Case Study

et al. 2020

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Problems related to sustainable urban transport have gained in importance with the rapid growth of urban agglomerations. There is, therefore, a need to support decision-making processes in this area, a trend that is visible in the literature. Many methods have already been presented as a useful decision-making tool in this field. However, it is still a significant challenge to properly determine the relevance of the criteria because it is one of the most critical points of many presented techniques to solve decision problems. In this work, we propose two new approaches to determining the relevance of particular decision criteria effectively in sustainable transport problems. For this purpose, we examine a study case for the evaluation of electric bikes evaluated against eight criteria, which have been taken from earlier work. We calculate the relevance of each criterion using four different approaches and then evaluate their effectiveness using a reference ranking and popular multi-criteria decision analysis methods. The results are compared with each other by using similarity coefficients. Finally, we summarize the results obtained and set out further methods of development.

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Section: Cometmentioning

confidence: 65%

“…Evaluation of the characteristic objects-the expert determines the Matrix of Expert Judgment (MEJ) by comparing the COs pairwise. The matrix is presented below (20):…”

Section: Obtainment Of the Rule Basementioning

confidence: 99%

Efficiency of Methods for Determining the Relevance of Criteria in Sustainable Transport Problems: A Comparative Case Study

et al. 2020

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“…For the determination of optimal locations, spatial information obtained by the GIS (Geographic Information System) is often used with multi-criteria decision making [29]. Karczmarczyk et al [30] represents the application of the novel method, COMET (Characteristic Objects Method) to determine the best model of the electric car for sustainable city transport with respect to increasing pollution in cities. The same method was used in [31] for the selection of the best scenarios for the transport of dangerous goods.…”

Section: Methods Of Multi-criteria Decision-making In Traffic and Tramentioning

confidence: 99%

Development of an ANFIS Model for the Optimization of a Queuing System in Warehouses

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et al. 2018

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Queuing systems (QS) represent everyday life in all business and economic systems. On the one hand, and there is a tendency for their time and cost optimization, but on the other hand, they have not been sufficiently explored. This especially applies to logistics systems, where a large number of transportation and storage units appear. Therefore, the aim of this paper is to develop an ANFIS (Adaptive neuro-fuzzy inference system) model in a warehouse system with two servers for defining QS optimization parameters. The research was conducted in a company for the manufacturing of brown paper located in the territory of Bosnia and Herzegovina, which represents a significant share of the total export production of the country. In this paper, the optimization criterion is the time spent in the system, which is important both from the aspect of all customers of the system, and from that of the owner of the company. The time criterion directly affects the efficiency of the system, but also the overall costs that this system causes. The developed ANFIS model was compared with a mathematical model through a sensitivity analysis. The mathematical model showed outstanding results, which justifies its development and application.

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“…To address several DM issues in a wide range of fields, numerous multicriteria decision analysis (MCDA) strategies have been developed. Since the 1960s, MCDA has been applied to quite a lot of real-life situations, including green supply chain management [10], logistics [11,12], manufacturing structures [13], health, environmental monitoring as well as sustainable development [14]. Several researchers have shown that the MCDA approach can efficiently resolve complex multistandard issues [15,16].…”

Section: Introductionmentioning

confidence: 99%

TOPSIS Method Based on Correlation Coefficient under Pythagorean Fuzzy Soft Environment and Its Application towards Green Supply Chain Management

et al. 2021

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The correlation coefficient between two variables is an important aspect of statistics. The accuracy of assessments of correlation relies on information from a set of discourses. Data collected in statistical studies are often full of exceptions. Pythagorean fuzzy soft sets (PFSS) are a parametrized family of extended Pythagorean fuzzy sets (PFS). They comprise a generalization of intuitionistic fuzzy soft sets which may be used to accurately assess deficiencies and uncertainties in evaluations. PFSS can accommodate uncertainty more competently than intuitionistic fuzzy soft sets and are the most important strategy when dealing with fuzzy information in decision-making processes. Herein, the concept and characteristics of correlation coefficients and the weighted correlation coefficients in PFSS are discussed. We also introduce the Pythagorean fuzzy soft weighted average (PFSWA) and Pythagorean fuzzy soft weighted geometric (PFSWG) operators and discuss their desirable characteristics. A prioritization technique for order preference by similarity to the ideal solution (TOPSIS) under the PFSS environment based on correlation coefficients and weighted correlation coefficients will be introduced. Through the proposed methodology, a technique for decision-making is developed. Additionally, an application of the proposed TOPSIS technique is presented for green supplier selection in green supply chain management (GSCM). The practicality, efficacy, and flexibility of the proposed approach is proved through comparative analyses, drawing upon existing studies.

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Using the COMET Method in the Sustainable City Transport Problem: an Empirical Study of the Electric Powered Cars

Cited by 61 publications

References 37 publications

Efficiency of Methods for Determining the Relevance of Criteria in Sustainable Transport Problems: A Comparative Case Study

Efficiency of Methods for Determining the Relevance of Criteria in Sustainable Transport Problems: A Comparative Case Study

Development of an ANFIS Model for the Optimization of a Queuing System in Warehouses

TOPSIS Method Based on Correlation Coefficient under Pythagorean Fuzzy Soft Environment and Its Application towards Green Supply Chain Management

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