A decision support system for multiple criteria alternative ranking using TOPSIS and VIKOR in fuzzy and nonfuzzy environments

Πλόσκας, Νικόλαος; Papathanasiou, Jason

doi:10.1016/j.fss.2019.01.012

Cited by 57 publications

(39 citation statements)

References 65 publications

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Order By: Relevance

“…where v j is relevant normalized weight of criterion, r ij is the normalized value of the particular variant by each criterion. The next step is to calculate the deviation of each Z matrix value from the ideal d i + variant (see Equation (7)) [48].…”

Section: Application Of the Topsis Methods To Define The Final Variantmentioning

confidence: 99%

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Application of Specific Mathematical Methods in the Context of Revitalization of Defunct Intermodal Transport Terminal: A Case Study

Ližbetín

Stopka

2020

Sustainability

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The article deals with a specific research study discussing the possibility to revitalize a specific non-functional intermodal transport terminal. The structure of the manuscript consists of five sections. The first part is focused on the analysis of the subject being investigated in important scientific publications. The second part of the article presents a brief analysis of the current situation concerning intermodal transport in the Czech Republic and emphasizes the need to build an intermodal transport terminal in the South Bohemia region. The third section describes the contemporary state of the Nemanice transshipment station, provides a calculation of the terminal transport potential, which is thereafter used in the next paper section in order to design individual terminal elements. The objective of this study is to propose an approach methodology regarding the terminal connection to railway and road infrastructure, necessary quantification of the transport potential, which subsequently defines the operational need for handling equipment, and other parameters of the terminal fundamental elements. This methodological guideline is based on variant recommendations to equip the terminal with various handling devices, which are then evaluated, applying the exact decision making methods. Such an evaluation is included in the fourth part of the article. Here, the authors try to find out which terminal equipment is the most appropriate in terms of overall terminal efficiency. The last part of the manuscript is devoted to the final discussion of the key findings and conclusion containing an insight into potential future projects or studies to be addressed.

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Section: Application Of the Topsis Methods To Define The Final Variantmentioning

confidence: 99%

“…All the variants are then ordered depending on the values of the relative indicator c i and the variant ranking can be specified (see Table 15). This indicator is calculated as follows (see Equation (9)) [48]: Source: Authors.…”

Section: Application Of the Topsis Methods To Define The Final Variantmentioning

confidence: 99%

Application of Specific Mathematical Methods in the Context of Revitalization of Defunct Intermodal Transport Terminal: A Case Study

Ližbetín

Stopka

2020

Sustainability

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“…rough literature review, we find that AHP is one of the earliest methods to deal with MCGDM problems [108]. TOPSIS and VIKOR as two commonly used and well-known comparative methods, which has similar calculation logic [109]. WASPAS is a novel method which has been put forward in recent years, which has higher consistency and accuracy [31].…”

Section: Comparative Analysismentioning

confidence: 99%

An Approach for Resilient-Green Supplier Selection Based on WASPAS, BWM, and TOPSIS under Intuitionistic Fuzzy Sets

Xiong

Zhong

Liu

et al. 2020

Mathematical Problems in Engineering

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The green supply chain management (GSCM) is an enterprise’s effort to protect the environment and a key way to achieve sustainable environmental development. On the contrary, globalization brings more risks to the supply chain. Resilience has become a critical definition in supply chain management to help enterprises review the disruption and return to normal state. Therefore, choosing a resilient-green supplier to build a supply chain environment with flexibility and greenness under interruption becomes necessary for research works. However, the existing studies tended to focus on only one of the factors with resilience and greenness, and no comprehensive criteria system and performance value is expressed by a crisp number. Therefore, this paper proposes a hybrid method which integrates the Best-Worst method (BWM), Weighted Aggregated Sum-Product Assessment (WASPAS), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to solve the critical problems. Firstly, BWM is used to weigh the criteria; secondly, intuitionistic fuzzy numbers are introduced into the ranking stage. Then, the integrated WASPAS and TOPSIS are used to rank the alternatives to select the optimal resilient-green supplier. Finally, an illustrative example proves the feasibility of this method.

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“…MCDM was developed to provide solutions in the decision making the process [45]. There are five steps in the TOPSIS method [46,47] (18) Step 2: Calculate the weighted normalized decision matrix (19).…”

Section: Figure 3 Hierarchy Of Purpose Selection Best Algorithmmentioning

confidence: 99%

Data mining, fuzzy AHP and TOPSIS for optimizing taxpayer supervision

Jupri

Sarno

2020

IJEECS

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The achievement of accepting optimal tax need effective and efficient tax supervision can be achieved by classifying taxpayer compliance to tax regulations. Considering this issue, this paper proposes the classification of taxpayer compliance using data mining algorithms; i.e. C4.5, Support Vector Machine, K-Nearest Neighbor, Naive Bayes, and Multilayer Perceptron based on the compliance of taxpayer data. The taxpayer compliance can be classified into four classes, which are (1) formal and material compliant taxpayers, (2) formal compliant taxpayers, (3) material compliant taxpayers, and (4) formal and material non-compliant taxpayers. Furthermore, the results of data mining algorithms are compared by using Fuzzy AHP and TOPSIS to determine the best performance classification based on the criteria of Accuracy, F-Score, and Time required. Selection of the taxpayer's priority for more detailed supervision at each level of taxpayer compliance is ranked using Fuzzy AHP and TOPSIS based on criteria of dataset variables. The results show that C4.5 is the best performance classification and achieves preference value of 0.998; whereas the MLP algorithm results from the lowest preference value of 0.131. Alternative taxpayer A233 is the top priority taxpayer with a preference value of 0.433; whereas alternative taxpayer A051 is the lowest priority taxpayer with a preference value of 0.036.

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A decision support system for multiple criteria alternative ranking using TOPSIS and VIKOR in fuzzy and nonfuzzy environments

Cited by 57 publications

References 65 publications

Application of Specific Mathematical Methods in the Context of Revitalization of Defunct Intermodal Transport Terminal: A Case Study

Application of Specific Mathematical Methods in the Context of Revitalization of Defunct Intermodal Transport Terminal: A Case Study

An Approach for Resilient-Green Supplier Selection Based on WASPAS, BWM, and TOPSIS under Intuitionistic Fuzzy Sets

Data mining, fuzzy AHP and TOPSIS for optimizing taxpayer supervision

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