VIKOR Approach Research Articles

Selection of renewable energy sources: a novel VIKOR approach in an intuitionistic fuzzy linguistic environment

Selection of renewable energy sources: a novel VIKOR approach in an intuitionistic fuzzy linguistic environment

A Novel Fuzzy-Based VIKOR–CRITIC Soft Computing Method for Evaluation of Sustainable Supply Chain Risk Management

This article aims to evaluate sustainable supply chain risks using a novel fuzzy VIKOR–CRITIC technique. The research contributions of this study are twofold. First and foremost, this is the first attempt to integrate the fuzzy VIKOR approach with the CRITIC method in order to eradicate the inadequacies of the VIKOR method. Second, this is the first study to look at the sustainable supply chain risk management in Pakistan’s logistics industry. Four logistics companies were chosen for the study, and thirty criteria were established and divided into four categories using acquired data and literature studies. According to the findings, organizational risks are the most important to consider, whereas environmental hazards have the least influence. Supply delays, freight rate/oil price fluctuations, bankruptcy, and natural catastrophe are the four most important criteria in these categories. Limited suppliers, cargo tracking, IT system failure, and international politics are the four least significant criteria in the four risk categories. The findings are useful for the logistics industry operating in CPEC for risk mitigation and sustainable operation. The research may be used as a guideline for risk identification and management by practitioners and decision-makers in Pakistani logistics organizations.

Multi-criteria decision-making for solar panel selection using an integrated analytical hierarchy process and VIKOR approach: a case study

Multi-criteria decision-making for solar panel selection using an integrated analytical hierarchy process and VIKOR approach: a case study

Analyzing the Effect of Covid-19 Vaccination Requirements on Travelers’ Selection of Hotels: The Pcfgm-Fuzzy Vikor Approach

Analyzing the Effect of Covid-19 Vaccination Requirements on Travelers’ Selection of Hotels: The Pcfgm-Fuzzy Vikor Approach

Risk assessment and mitigation for electric power sectors: A developing country's perspective

The electric power sector is the driving force behind a country's economy and disruptions in its services have dire consequences. The purpose of this study is to identify the risk mitigation measures that should be incorporated by the electric power sector of Pakistan. These risk mitigation strategies were identified while considering the risks that are Most Probable, Severe, Costly, Difficult to Detect, and Control. This study employed Fuzzy Multi-Criteria Decision-Making (MCDM) techniques for the assessment of risks. The criteria for risk evaluation were gauged through Fuzzy Full Consistency Method (FUCOM) and Fuzzy VIKOR approach was used for ranking these risks. Moreover, the risk mitigation strategies were evaluated using the Fuzzy Quality Function Deployment (QFD) method, considering the previously prioritized risks. The analysis ranked Corruption, Circular Debts, Outdated Infrastructure, Energy Losses, and Lack of Research and Development as the most critical risks. For risk mitigation measures, Incorporation of the Internet of Things (IoT), Building an Investor-Friendly Environment, Improved Coordination between Organisations, and Maximizing the Energy Efficiency Potential gained preference, among other measures. The study proposed a novel framework for risk assessment and evaluation of risk mitigation strategies. Moreover, it fills a research gap in its application by focusing on the electric power sector of Pakistan, a developing country.

Manufacturing applications of the VIKOR approach: A scoping review

VIKOR is a selecting and sorting technique for addressing problems and optimising multi-criteria decision making in complex systems. This study sought the relevant literature to categorise, analyse, and discuss the content and extent of existing studies that used the VIKOR method for applications in manufacturing. The study examined 84 studies published throughout 2018–2020. The studies were categorised by publication dates, author(s) name, techniques and methods, weighting method, comparison method, description of comparison results (comparing a given method to others), testing applicability, and journal-title. Analyses revealed that approximately 35 of the published studies involving VIKOR were related to its strategic use in manufacturing decisions and applications. In 2019, manufacturing was represented more than any other field among all published VIKOR papers, and Sustainability published more of the VIKOR-related articles than any other journal. Interestingly, the integrated and fuzzy VIKOR methods were used more than the traditional VIKOR method. Furthermore, the review results show that VIKOR is flexible enough to be continuously improved by integrating it with the new multi-criteria decision-making methods. This literature review can guide researchers and practitioners in applying VIKOR in various manufacturing fields.

Assessment of Hybrid Gene Selection Using the VIKOR Method

One of the crucial processes in the classification of microarray data is gene selection. Particle swarm optimization is gaining popularity as a powerful method for genetic selection since it uses fewer parameters and doesn't use complicated evolution operators. Some particle swarm optimization-based gene selection techniques may select non-optimal genes with a high probability because particle swarm optimization is likely to converge to local minima, which may result in premature convergence. It is still difficult to choose prognostic genes with low redundancy without excluding crucial genes.Research significance: Exposure to ionising radiation has been associated to leukaemia, and gene selection often involves two phases. All of the survivors of the World War II atomic bombings in Japan have been shown to have a significant incidence of leukaemia. Functional brain cancer imaging with positron emission tomography and magnetic resonance imaging is widely used to map regional changes in the brain function advanced over Last decade. Appreciating unique contribution of aerobics glycol sis new insights into the role of brain energy metabolism atropines signal transduction have emerged. Diagnoses of colon cancer in the United States the subject of this recommendation is colon cancer. In a different recommendation, rectal cancer is discussed. Smoking status is the most powerful predictor lung function Decrease in smokers with COPD. If you are a smoker advised older people are more likely to quit because they cannot stop smoking or their lungs are already damaged. Similarly, there is a nihilistic approach to that intervenes in smoking cessation. The incidence of Hodgkin's lymphoma, a rare form of cancer, rises in the third decade in women and subsequently drops, whereas in men it stays largely steady after this point. The presence of Hodgkin/Reed-Sternberg cells serves as the basis for the diagnosis of Hodgkin's lymphoma.VIKOR method used in multi-criteria analysis (MCDM). Although a popular method, mcdm problems there are some problems with solving. This study is traditional discussed the problems with VIKOR method. This intention of the take a look at is to resolve issues with the traditional VIKOR technique to keep away from numerical troubles in fixing is modified VIKOR approach to create. From the result it is seen that Leukemia is showing the highest value for SRBCT is showing the lowest value. Resulting in Leukemia ranked first, there SRBCT has low rank

Regional Leading Industry Selection Based on an Extended Fuzzy VIKOR Approach

To improve the deployment and optimization of the industrial structure, researchers and practitioners have performed a variety of researches in terms of regional leading industry selection based on AO Hirschman, Rostow and Miyohei’s principles. The criteria and methods employed in previous studies are mainly based on the mass industrial development data, leading to the limitation of study on the application in new high-tech district and underdeveloped regions. Due to lack of industrial data and detail industry information, it is difficult to employ the deterministic regional industry selection model. Therefore, an extended fuzzy-VIKOR approach that the expert-based and trapezoidal fuzzy number decision-making techniques, embedded into the VIKOR steps is proposed. It is developed to solve the regional leading industry selection problems concerning industrial, economic, social and environmental dimensions. Finally, a case study for the industrial planning of a high-tech zone is applied to verify the proposed decision-making approach.

Correction to: A New Extended VIKOR Approach Using q-Rung Orthopair Fuzzy Sets for Sustainable Enterprise Risk Management Assessment in Manufacturing Small and Medium-Sized Enterprises

Correction to: A New Extended VIKOR Approach Using q-Rung Orthopair Fuzzy Sets for Sustainable Enterprise Risk Management Assessment in Manufacturing Small and Medium-Sized Enterprises

The development of a reviewer selection method: a multi-level hesitant fuzzy VIKOR and TOPSIS approaches

The development of a reviewer selection method: a multi-level hesitant fuzzy VIKOR and TOPSIS approaches

TF-IDF Decision Matrix to Measure Customers’ Satisfaction of Ride Hailing Mobile Application Services: Multi-Criteria Decision-Making Approach

In recent years, the use of ride hailing mobile application services is increasing exponentially. Customers’ expectation of these phone services varies and change dynamically as the needs of each individual also vary. Customer reviews about mobile application are honest, voluntary opinions; and these could become essential input for mobile application providers to measure satisfaction. However, managing a large number of reviews into actionable plans could be challenging. This study combines the Term Frequency-Inverse Document Frequency (TF-IDF) and Multiple-Criteria Decision-Making (MCDM)-VIKOR approach to process 600 reviews into a meaningful insight to enhance ride hailing mobile application services. The four-phase method analysis concluded that application ease of use and affordability are the most important aspects that most contribute to customers’ satisfaction in ride hailing mobile application services.

Soft Matrix Game: A Hesitant Fuzzy MCDM Approach

Soft set theory has emerged recently as a new mathematical tool to handle uncertainty. Sometimes decision makers are not sure about the decision-making criteria, where soft set theory provides an idea to deal with such uncertainties. Multi-criteria decision making (MCDM) involves choosing the best from several alternatives. MCDM methods such as TOPSIS and VIKOR depend on an aggregating function for presenting “closeness to the ideal” which arises due to the compromise solution. The VIKOR method of compromise ranking describes a compromise solution, providing a maximum for the “maximizing player” and minimum for the “opponent”, which is an effective approach in an MCDM game. TOPSIS method presents a solution with the shortest distance to the positive ideal solution (PIS) and largest distance from the negative ideal solution (NIS). Also, hesitant fuzzy soft set is an appropriate tool to tackle the imprecise parameters introduced in MCDM problems by the decision maker (DM). In this paper, we extend the VIKOR and TOPSIS methods for solving MCDM game problems with hesitant fuzzy soft payoffs to determine the optimal strategies. Finally, a numerical example is incorporated to verify the extended VIKOR approach and the results are compared with those for the TOPSIS method. The paper ends with conclusions and outlooks.

Designing a Model for Evaluating Iranian University Websites: Using Fuzzy VIKOR Approach

Designing a Model for Evaluating Iranian University Websites: Using Fuzzy VIKOR Approach

A novel VIKOR approach based on weighted correlation coefficients and picture fuzzy information for multicriteria decision making

A novel VIKOR approach based on weighted correlation coefficients and picture fuzzy information for multicriteria decision making

Application of interval-valued Pythagorean fuzzy VIKOR approach for petroleum sludge treatment technology evaluation and selection.

Petroleum sludge is produced during oilfield development and production and can negatively impact the production area and surrounding environment. With increasing attention to the environmental protection of oilfields, finding an energy-efficient, environmentally sound, cost-effective and socially acceptable sludge treatment method is crucial to the sustainable development of oil companies. However, there are several problems in the selection process: ① there is no effective index system for the evaluation of treatment technologies; ② there is data uncertainty and loss of information; ③ experts in the field often make one-sided decisions; and ④ the common decision models fail to balance the general effect and local dominance of a treatment technology. This study is innovative in the following aspects: ① a decision index system of petroleum sludge treatment technology is established; ② the interval-valued Pythagorean fuzzy set effectively managed data uncertainty and loss of information; ③ the redundancy-based expert weighting method is used to avoid one-sided decisions; and ④ using the basic ideas of the VIKOR model to balance the general effect and local dominance of a technology. Example verification proved the effectiveness of this method and a sensitivity analysis showed the results were reliable. Finally, this study compared the results obtained by three other similar methods, and comparative analysis demonstrated that this approach effectively evaluated and selected petroleum sludge treatment technologies. This study improves the rationality of petroleum sludge treatment technology selection and provides a necessary reference for the selection of treatment technology for other petroleum pollutants.

WITHDRAWN: Pythagorean fuzzy multi-criteria decision making and its application in fitting assembly

Multi-criteria determination planning (MCDM) is among the examination territories of tasks and the board sciences which have generally concentrated by researchers and specialists. Among all the augmentations of the fuzzy set, the pythagorean fuzzy set is considered as a standout amongst other methodologies in managing the unclear terms with more precision in correlation with the intuitionist fuzzy system. In this writing, we proposed new pythagorean fuzzy entropy for MCDM issues. We have utilized the VIKOR approach to tackle these issues. The VIKOR approach was created to unravel MCDM issues with clashing or non-commensurable standards. We depict an MCDM issue and offer the means of the VIKOR approach inside the pythagorean fuzzy system.

The Prioritization of Lean Techniques in Emergency Departments Using VIKOR and SAW Approaches.

Considering various researches were carried out to implement Lean techniques in healthcare centers, this study has tried to investigate how lean principles could be prioritized in the Emergency Department (ED) by comparing physicians and nurses viewpoints. In the first stage, relevant Lean techniques and several criteria to evaluate the ED performance were selected by reviewing the literature. Then, weight factors for each criterion were calculated using the Entropy method, and Lean techniques were compared and ranked via a questionnaire by which the physicians' and nurses' opinions were obtained separately. In the last stage, the final ranking of Lean techniques was done using VIKOR and SAW methods as two powerful means of Multi-Criteria Decision-Making (MCDM). Theory of Constraints (TOC) was selected as the most appropriate principle from the physicians' viewpoints by both decision-making methods. However, according to the nurses' opinions, Jiduka was the best approach by the VIKOR method, while with the SAW method, 5S was chosen as the most practical Lean technique. This study has illustrated that although all Lean techniques are useable for ED, these techniques' prioritization has a key role in choosing the more suitable Lean approach. Moreover, it provides a chance for the emergency wards to keep down different costs and improve staff and patient satisfaction and the quality of treatment simultaneously.

Intuitionistic fuzzy scale-invariant entropy with correlation coefficients-based VIKOR approach for multi-criteria decision-making

Intuitionistic fuzzy scale-invariant entropy with correlation coefficients-based VIKOR approach for multi-criteria decision-making

Performance Evaluation of Surface Roughness in the Boring Operation of IS 2062 E250 Plate on CNC Machine Using Combined Entropy-Decision Tree-VIKOR Approach

In boring E250 B0 steel material, the selection of process parameters is one of the most challenging tasks to achieve. The boring literature lacks understanding and fails to reveal how to select the important boring parameters for utmost resource distribution to the most important parameters. This article proposes a novel method to analyse the importance of parameters in boring to produce utmost surface roughness using the entropy-decision tree-VIKOR approach as a multi-criteria decision-making solution to the choice of process materials for superior surface roughness. The choice parameters include speed, depth of cut, feed and nose radius. The entropy approach was instituted to attain the weight of the diverse parameters. The decision tree approach is deployed through the classification of the parameters as beneficial and non-beneficial and the expected values at each mode evaluated. The desirable weightage is then established and serves as the input to the VIKOR approach. This converts the desirable weightage into unit measures through the best/worst value and weightage evaluation. The individual regrets are then analyzed and the final ranking obtained. Results revealed that the depth of cut is the most important parameter, then nose radius (0.98), feed (0.307) and speed (0), respectively. Therefore, a plan to assign more measures to the depth of cut may be developed and the least resources may be assigned to speed. This detail may be helpful to prepare the annual budgets for the boring operation on the factory floor.

Group decision-making based on complex spherical fuzzy VIKOR approach

The main objective of this study is to set up the foundations of a new model, namely, complex spherical fuzzy (CSF) model that is highly proficient to express the two dimensional ambiguous information. The absence of neutral membership in complex Pythagorean fuzzy sets to express abstinence part of opinion and limitation of spherical fuzzy sets to capture the two dimensional data motivated us to build up the theory of complex spherical fuzzy sets. To establish the ground-breaking CSF model, we elaborate the essential and rudimentary concepts including score degree, accuracy degree and comparison rule. Further, we define the primary operations that serve as helping tools to found four new aggregation operators, namely, complex spherical fuzzy weighted average (CSFWA) operator, complex spherical fuzzy ordered weighted average (CSFOWA) operator, complex spherical fuzzy weighted geometric (CSFWG) operator and complex spherical fuzzy ordered weighted geometric (CSFOWG) operator. These operators are of vital importance in aggregation of complex spherical fuzzy numbers (CSFNs). Moreover, we present a multi-skilled and high potential multi-criteria group decision-making (MCGDM) technique, namely, complex spherical fuzzy VIKOR (CSF-VIKOR) method using the grounds of VIKOR method and motivation of CSF model which is adequate to deal with two dimensional data. The working rule of the proposed technique emphasizes to propose a compromise solution depending upon two focal properties, namely, group utility and individual regret of opponent. We sort the alternatives via the ranking measure by the dint of ascending order. We accomplish the proposed MCGDM strategy by the means of a numerical example in the field of business to rank the objectives of an advertisement on Facebook. We validate the precision and veracity of the proposed strategy by comparing the results with spherical fuzzy VIKOR (SF-VIKOR) method. Finally, we analyze the proposed method to unfold its edge and dominance over the existing approaches.