VIKOR Method Research Articles

Online-Review-Driven Products Ranking: A Hybrid Approach

Online customer reviews (OCRs) are the real feelings of customers in the process of using products, which have great reference value for potential customers’ purchase decisions. However, it is difficult for consumers to extract helpful information from very large numbers of OCRs. To support consumers’ purchase decisions, this paper proposes a hybrid method to rank alternative products through OCRs. In this method, we use the fine-grained Bidirectional Encoder Representation from Transformers (BERT) model for aspect-level sentiment analysis (SA) and convert SA results of sub-criteria into a corresponding interval intuitionistic fuzzy number, accurately extracting customer satisfaction in OCRs and reducing the errors caused by different amounts of OCRs. Furthermore, in order to obtain the ranking results of products, the subjective and objective weights are combined to determine weight of feature. Subsequently, an improved interval intuitionistic fuzzy VIKOR method is proposed to rank mobile games. Finally, we conduct a case study and make some comparisons, which show that our method can reduce the complexity of accurately obtaining consumers’ personal preferences and help consumers make more accurate decisions.

How Do the Criteria Affect Sustainable Supplier Evaluation? - A Case Study Using Multi-Criteria Decision Analysis Methods in a Fuzzy Environment

Choosing a battery supplier is a vital decision-making problem, for which it is essential to obtain stable evaluations. For such sustainable supplier evaluation, multi-criteria decision analysis (MCDA) methods are often used, as their ability to handle uncertain data gives experts more significant opportunities to consider a broader range of cases. However, given the great number of MCDA approaches, it is challenging to find out which approach is the most appropriate. Therefore, this paper presents a sensitivity analysis on evaluating battery suppliers by ARAS, EDAS, MAIRCA, TOPSIS, and VIKOR methods in a fuzzy environment. The provided study presented similar results for the considered MCDA methods confirmed by the WS similarity measure of rankings and the weighted Spearman correlation . On the other hand, the sensitivity analysis conducted on the considered methods indicated that the most relevant criteria for this problem are transportation cost, delivery time, and warranty period.

Evaluation of Smart Materials in using the VIKOR Method

Smart materials are environmentally friendly Materials that respond to changes and then a Material property is subject to change. Any extras without the need for control or electronics an actuator or sensor from objects these property changes can be used to create. Smart material technology and its functions adapting to environmental changes through implementation helps us. Multifunctional material, of sorts A smart material, its geometry modification or property by electrical impulses, to produce change can be implemented. From this analysis the VIKOR technique is the most accurate determines a worst-case-good solution, however, is variation these Distance is not taken into account. VIKOR the approach is Multi-Criteria Selection (MCDM) or Multicriteria selection is an evaluation technique. Alternative: Density, Nominal stress, Actuation frequency, Stimulation. Assessment Option: Piezoelectric ceramic, piezoelectric composites, openness Shape memory polymer (SMP), Elastic-active polymer (EAP), Magnetostriction. It is solved by using the VIKOR method. It is the data set of this paper. The result it is seen that Shape memory polymer (SMP) is got the first rank where as is the Magnetostriction is Very low rank. In this paper Shape memory polymer (SMP) is got the first rank whereas is the Magnetostriction is having the lowest rank

A Hybrid Multi-Criteria Decision-Making Model Combining DANP with VIKOR for Sustainable Supplier Selection in Electronics Industry

Sustainability in operations and supply chains is becoming more popular among academics and practitioners through Sustainable Supplier Selection (SSS). In addition to balancing economic, social, and environmental factors, the awareness of the United Nations Sustainable Development Goals 2030 has affected the selection of long-term suppliers, ensuring green operations and sustainable supply chains. The criteria for SSS have multiple dimensions and are interdependent; this mimics the real-world scenario rather than assuming independently from an analytic hierarchy process. We use the multi-criteria decision-making (MCDM) model, combining DEMATEL-based on ANP (called DANP) with VIKOR, to solve the SSS problem. The DANP method is used to model and assess the interdependent relationships between criteria. Then, ranking the available alternatives and selecting the best one can be accomplished using the VIKOR method. We consider the electronic manufacturing industry in Taiwan as an empirical case. This study, in addition to selecting the best sustainable supplier, demonstrates the use of influential network relationship maps to analyze and improve the gaps in each dimension and criterion.

Micro Learning: A Modernized Education System Using the VIKOR Method

A micro-teaching clinic marks a performance plateau once educators attain an advanced level. Enhancing teacher performance serves as a beneficial catalyst. Despite highly skilled teachers reaching career peaks initially, they often lack motivation to further elevate their capabilities. Introducing new ideas and effortlessly encouraging them to explore fosters professional growth, benefiting student learning outcomes significantly. A live snake in the hands of a class of micro-teachers. Her lesson's goal was to point out traits unique to snakes that other creatures do not have. His dramatic arrival made the students immediately engaged, and they remained so for the whole five-minute HD instruction. By the time the lesson ends, it's actual Furthermore, it is undeniable that laboratory instruction is not. Supervisors assess and assign scores to pupils of teachers in accordance with the Stanford Assessment Guide. Overall, he scored really well, with an exception of "improving the learning material." This gifted instructor covering a lot of ground in a short amount of time using the lecture method while providing immediate feedback. It was advised that the student concentrate again to give a more succinct summary that was more robust close, and that the topics be restricted to the minimum of three fundamental traits that set snakes apart from other kinds of creatures. The similar handling of snakes lesson was repeated by the teacher, who also provided instant comments on proposed advancement. The instructor, students, and supervisors all saw that the lesson had advanced considerably with frequent repeating. Everyone was in agreement that the content had been well examined and had an extremely clear structure. In addition to "accelerating the curriculum," The VIKOR method, that was developed for multifaceted optimization in complicated systems is becoming more and more common. Its main objective is to rank and choose among alternatives that have disparate and contradictory unit requirements. Concession in the VIKOR method approach is defined as a decision based on common preferences, and compromise ranking is determined by evaluating its degree of near to the optimal solution. Online Courses and Tutorials, Micro-Credentials and Badges, YouTube and Podcasts, Mobile Learning Apps and Self-paced Learning Modules. Cost and Affordability group Learning, Outcomes and Application group, Environment group and Interactivity and Engagement. the final Results of Micro education analysis using the Vikor Method. Micro education in Self-Paced Learning Modules is showing the highest Rank and Mobile Learning Apps is showing the Lowest rank

An Assessment on Renewable Power Sources Using the VIKOR Method

An Assessment on Renewable Power Sources Using the VIKOR Method

Supplier selection in the industry 4.0 era by using a fuzzy cognitive map and hesitant fuzzy linguistic VIKOR methodology.

Organizations will be increasingly concerned about maintaining their positions in today's changing world, the high-tech era, and the emergence of innovative technologies because of the industrial revolutions. Everyone has come to believe that to survive and continue their constructive roles, they must achieve competitive advantages by working based on the trends. It is undeniable that the introduction of Industry 4.0 has had a significant impact on enterprises, organizations, and, of course, supply chains. In the meantime, selecting a supplier is one of the main strategic decisions of the organization because choosing the right supplier leads to increasing profitability, improving market competition, better accountability, enhancing product quality, and reducing costs. While the issue of supplier evaluation has been one of the interesting topics for researchers in recent decades, its development in the fourth supply chain generation needs further consideration. In this regard, current technologies in the fourth-generation industrial revolution, methods, and criteria used in previous studies based on industry 4.0 and before that are reviewed separately. By reviewing previous articles and experts' opinions, thirteen sub-criteria considering industry 4.0 have been identified for selecting suppliers in three categories, economic, environmental, and social. The weight of each criterion has been determined using a set of fuzzy cognitive maps (FCMs) and considering the centrality of criteria in the concept of communication networks. To prioritize the suppliers, the hesitant fuzzy linguistic term sets (HFLTS) VIKOR method has been used in hesitant fuzzy linguistic terms. Finally, a case study is introduced to illustrate the effectiveness and usefulness of our integrated methodology and prioritize its four suppliers.

Multiple criteria decision making and robust optimization to design a development plan for small and medium-sized enterprises in the east of Iran

This paper is based on a project of developing small and medium-sized enterprises in South Khorasan, Iran. A combination of multiple criteria decision making and robust multi-objective optimization is used for prioritizing industrial clusters and optimally assigning governmental funds. First, criteria for evaluating clusters are weighted using the best-worst method and clusters are prioritized using the VIKOR method. Second, governmental funding is assigned to the highest priority cluster using robust multi-objective mathematical programming. An innovative method is applied to identify the solution of the Pareto-front with the highest efficiency. In a case study from South Khorasan, computational results show that international market share attraction is the most important criterion and the age of the cluster is the least important criterion in the development of the industrial clusters. The cluster defined for barberry and jujube fruits is determined to be the first-ranked cluster. Most of the total available budget for the development of this cluster is assigned to action plans for marketing and trade development and for investment and financial planning. The proposed methodology thus successfully aided the decision makers to plan their work regarding funding of industrial clusters. We believe that the methodology can be applied as a general tool to help managers of industrial development to better assign governmental funding to develop industrial clusters.

A Trapezoidal Fuzzy Number-Based VIKOR Method with Completely Unknown Weight Information

Multi-attribute group decision-making plays an important role in modern politics, economy, culture, and life. The multi-attribute decision-making process is limited by policymakers’ experience, and knowledge of uncertainty factors, such as weight information, is difficult to directly provide. Moreover, many types of complex rescue information are difficult to accurately describe in numerical terms, which reduces the accuracy and objectivity of the decision results, although the fuzzy theory to solve these problems provides a suitable tool. In order to solve the above problems, a new VIKOR decision method based on trapezoidal fuzzy numbers (TFNs) is proposed. Firstly, the expert weight is calculated by the distance measurement method, the criterion weight is calculated by the deviation maximization method, and then the VIKOR method is used to solve the problem. In order to verify the effectiveness and feasibility of this method, it is applied to the emergency alternative selection problem. Finally, the symmetry analysis of the method is carried out by contrast experiment and sensitivity test.

A decision approach on risk-control scheme recognition for karst excavation engineering

Risk events can be frequently encountered in karst geological environments during excavation construction; thus, a suitable risk-control scheme is essential to reduce the negative impact of accidents. A decision-making approach based on the fuzzy VIKOR method is proposed to identify the optimal risk-control scheme, where a triangular fuzzy set is adopted to express the experts’ judgements. A decision hierarchy is constructed based on four criteria and 12 sub-criteria, which are determined based on engineering experience and the construction environment. The developed approach was utilized to determine the optimal risk-control scheme to address risk events for excavation construction in karst regions. A countermeasure scheme, that is, pressure grouting with a two-phase liquid system, was implemented. The basic principles and steps of the implementation of the proposed scheme are presented. The applicability of the identified scheme was verified by the core recovery and modified number of blows using a standard penetration test. A flowchart of optimal scheme identification for geotechnical engineering practice is provided.

A new approach for spherical fuzzy TOPSIS and spherical fuzzy VIKOR applied to the evaluation of hydrogen storage systems

This study proposes a new perspective of the TOPSIS and VIKOR methods using the recently introduced spherical fuzzy sets (SFSs) to handle the vagueness in subjective data and the uncertainties in objective data simultaneously. When implementing these techniques using SFSs, two main problems might arise that can lead to incorrect results. Firstly, the reference points might change with the utilized score function. Secondly, the distance between reference points might not be the largest, as known, among the available ratings. To overcome these deficiencies and increase the robustness of these two methods, they are implemented without utilizing any reference points to minimize the effect of defuzzification and without measuring the distance to eliminate the effect of distance formulas. In the proposed methods, when using an SFS to express the performance of an alternative for a criterion, this SFS per se can be viewed as a measure of proximity to the aspired level. On the other hand, the conjugate of the SFS can be viewed as a measure of proximity to the ineffectual level. Two practical applications are presented to demonstrate the proposed techniques. The first example handles a warehouse location selection problem. The second example evaluates hydrogen storage systems for automobiles with different types of data (crisp, linguistic variables, type 1 fuzzy sets). These data are transformed to SFSs to provide a more comprehensive analysis. A comparative study is conducted with earlier versions of TOPSIS and VIKOR to explicate the adequacy of the proposed methods and the consistency of the results.

VlseKriterijumska Optimizacija I Kompromisno Resenj (VIKOR) Method: MCDM Approach for the Medical Diagnosis of Vector-Borne Diseases

In dealing with the medical decision making with uncertainty, clinical diagnosis of diseases is very difficult without the intervention of domain experts. In this work, an approach has been developed that provides hand held support to the medical practitioners for the medical diagnosis of diseases. With the assistance of the three domain experts of Delhi based Government hospital, linguistic information of four patients has been collected under IF environment. VIKOR method, a MCDM technique is utilized to rank the diseases among the patients. It seems that the conclusive outcomes of the investigation are same as diagnosed by medical specialists.

An integrated methodology for commercial concrete supplier selection with intuitionistic fuzzy CPT-VIKOR

Aiming at the multi-attribute group decision-making (MAGDM) problem with unclear index weights values, and thinking about the bounded rational behavior of decision makers (DMs), we proposed a new improved CPT-VIKOR decision method under intuitionistic fuzzy (IF-CPT-VIKOR). Due to the emergence of special cases in IFSs, a new IFS score function and distance formula are defined. Meanwhile, the use of entropy weight method to obtain the weight information of indicators enhances the objectivity of the model. Furthermore, CPT is integrated into the IFS environment, which fully reflects the psychological behavior of DMs, and take advantage of the VIKOR method to determine the final sorting of the scheme. Finally, through the application cases of the commercial concrete supplier selection (CCSS) and the comparison with the existing authoritative methods to verify the feasibility and validity of the method.

Applying the VIKOR Method to Select the Optimal Underground Mining Technology

The selection of the most appropriate underground mining technology is not a simple process because it involves handling of a large amount of information about several potential methods. Multicriteria optimization approaches are proven useful tools for ranking alternatives, especially in cases where multiple complex criteria have to be considered simultaneously. An ore deposit is a complex system because of its geology, physical and mechanical properties, and hydrogeological conditions. As such, problem solving requires a heuristic approach and includes tasks involving expert judgement, intuition, estimation, and experience. Using a heuristic strategy to state a problem means that the analyst is placed in a position to apply past experience to a future situation and existing knowledge to new circumstances, as well as discover new avenues to creative problem solving. A complex algorithm was developed to pave the way to quality management of mining, by using the VIKOR method to rank various mining technologies relative to a set of criteria and select the optimum mining method that will primarily ensure profitable and safe mining.

Multi-objective optimisation model under multiplex weighted drivers’ collaboration network: Risk, time and profit management perspectives

This study aims to devise a multi-objective optimisation model through the use of drivers’ information diffusion capacity in transportation service procurement [TSP]. In this model, in addition to the profit optimisation of transportation companies, the allocation of freights to the most suitable drivers in the shortest possible time is considered. First, driver-to-driver interactions are modelled on a weighted drivers’ collaboration network and an overlapping community detection algorithm is used to identify the communities’ leaders and their drivers. Also, an objective function is developed to optimise the speed of order allocation to drivers in communities. To reduce the risk of losing customers, the VIKOR method is developed for ranking and allocating shipping orders to the most qualified drivers. This optimisation model enables us to simultaneously manage the three factors of time, cost, and suitability of drivers in allocating shipping orders to drivers. By solving this model, the results show novice companies tend to allocate orders to drivers in the shortest time, but well-known companies are willing to assign the orders with the lowest cost. Therefore, the results reflect the real behaviour of the TSP system, and companies can adopt policies corresponding to their risk level in allocating orders to drivers.

Selection of Spot Welding Electrode Material by Preference Ranking Organization Method for Enrichment Evaluation, VIKOR and WASPAS Methods

Selection of electrode material for spot welding operation is a complex task due to compromising properties such as electrical conductivity and the strength of material, although limited materials possess them collectively. This research aims to rank eight discrete classes of Cr-Zr, Cu-Be, Cu-Cd, Cu-Cr-Zr, Cu-Ti and Cu-W spot welding electrode materials based on PROMETHEE, VIKOR and WASPAS methods. Preliminary screening of essential attributes was performed using Analytical Hierarchy Process (AHP). It was observed that Cu-Cr-Zr is ranked as the best candidate material by all three MADM methods. However, the selection is based on availability, manufacturability, environment protection rules and cost. This paper suggested an approach for electrode manufacturers and end users to select reliable spot welding electrode material to achieve high weld quality

Optimal Selection of Stock Portfolios Using Multi-Criteria Decision-Making Methods

In the past, investors used their own or others’ experiences to achieve their goals. With the development of financial management, investors’ choices became more scientific. They could select the optimal choice by using different models and combining the results with their experiences. In portfolio optimization, the main issue is the optimal selection of the assets and securities that can be provided with a certain amount of capital. In the present study, the problem of optimization, i.e., maximizing stock portfolio returns and minimizing risk, has been studied. Therefore, this study discussed comprehensive modeling for the optimal selection of stock portfolios using multi-criteria decision-making methods in companies listed on the Tehran Stock Exchange. A sample of 79 companies listed on the Tehran Stock Exchange was used to conduct this research. After simulating the data and programming them with MATLAB software, the cumulative data analysis model was performed, and 24 companies were selected. This research data were collected from the financial statements of companies listed on the Tehran Stock Exchange in 2020. The primary purpose of this study was a comprehensive modeling for the optimal selection of stock portfolios using multi-criteria decision-making methods in companies listed on the Tehran Stock Exchange. The index in the Tehran Stock Exchange can be used to provide a comprehensive and optimal model for the stock portfolio; different multi-index decision-making methods (TOPSIS method), the taxonomy method (Taxonomy), ARAS method, VIKOR method, The COPRAS method and the WASPAS method can all identify the optimal stock portfolio and the best stock portfolio for the highest return.

A consolidated decision-making framework for nano-additives selection in battery thermal management applications

The selection of appropriate nano-additives for optimum battery thermal management system (BTMS) performance is an exigent task for decision-makers and is a multi-attribute decision-making (MADM) problem. This work presents a framework that utilizes the application of various MADM schemes. These techniques are integrated with a subjective weighting criteria approach to prioritize suitable nano-additives as promoters towards heat transfer enhancement to mitigate the thermal issues in energy storage devices. The COPRAS, PROMETHEE-II, and VIKOR methods are used to present ranking schemes for alternatives based on the criteria weights assigned by the AHP method. The results show that Graphene and MWCNT nano-additives are the best-suited alternatives. The sensitivity tests are carried out to describe the effect of parametric variations in the most critical risk preferences over the rankings of the alternatives. In addition, the problem of rank reversal associated with these methods is also addressed. Therefore, the evaluation criteria and methodology in this work can provide a theoretical reference for nano-additive selection. An attempt is made to discuss the technical index of efficiency assisting decision-makers to make reliable and robust decisions by employing the CCR model.

Neutrosophic MCDM Methodology to Select Best Industrial Arc Welding Robot

Industrial robots have made it possible for industrial companies to make goods of a good quality at lower costs. As a result, industrial robots are an integral component of sophisticated manufacturing systems. Industrial robots may be programmed to do a wide variety of tasks, including welding, painting, construction, and debugging. All of the elements are completed with an exceptional level of endurance, swiftness, and accuracy. The efficiency of industrial robots is governed by a number of different factors, some of which are in direct opposition to one another; for a strong choice approach, all of these criteria must be examined concurrently. For the purpose of selecting an industrial robot for the arc soldering process, a straightforward multi-criteria decision-making (MCDM) approach that is VIKOR method will be described in this research. The VIKOR method used to rank the robots. The results of the VIKOR methodology are provided here in the form of a priority of rating. The findings demonstrated that the MCDM strategies are highly helpful when selecting robots to utilize.

Decision Support System for Indonesia Smart Card (KIP) Scholarship Selection Using The AHP And VIKOR Method Integrated with EKTP

. The Indonesia Smart Card (KIP) for college is a government-sponsored educational assistance program that builds upon the foundation of the Bidikmisi scholarship, providing continued support for eligible students. In the 2018/2019 academic year, Sebelas Maret University Surakarta (UNS) received approximately 2,000 applicants, while the recipient quota was limited to less than 1,000. In the current selection process for KIP UNS scholarships, the criteria weighting method is utilized. However, there is a notable absence of consistency checking during this crucial process. Additionally, incorporating consistency checks is imperative to attain an optimal solution and mitigate the risks associated with subjective decision-making. Relying solely on Microsoft Excel software can also restrict data accessibility and availability. Therefore, this study aims to address the issue of inconsistency in KIP scholarship process by proposing Decision Support System that incorporates consistency checking and improves decision outcomes. The AHP and VIKOR method were used in providing recommendations for KIP scholarship recipients. By employing the AHP method, the calculated weighting criteria exhibited consistency, as indicated by a ratio value of 0.0746. The result showed that VIKOR produced a ranking of KIP scholarship candidates, validated by the confusion matrix method, indicating an accuracy and error rate value of 87% and 13% respectively. These findings confirmed that the AHP and VIKOR method serve as an effective decision-support solution for selecting KIP scholarship recipient