VIKOR Algorithm Research Articles

Developing a Multi-Criteria Decision-Making model for nuclear power plant location selection using Fuzzy Analytic Hierarchy Process and Fuzzy VIKOR methods focused on socio-economic factors

In response to its position as the fourth most populous country globally, Indonesia is exploring constructing nuclear power plants (NPPs) as a sustainable energy solution. A pivotal step in this initiative is selecting an appropriate NPP site. This study employs two Multi-Criteria Decision-Making (MCDM) methods, the Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) and Fuzzy VIKOR, to identify the most suitable location for an NPP, focusing on socio-economic factors. The Fuzzy-AHP method is utilized to prioritize ten sub-criteria: transmission network, operating costs, economic impact, security, transportation network, legal considerations, the impact of tourism, land ownership, historical sites, and public acceptance. Following this, the Fuzzy VIKOR method leverages these prioritized criteria to evaluate two potential sites: East Kalimantan and West Kalimantan. The analysis reveals that security, transmission, and transportation networks emerge as the top priorities. The application of the Fuzzy VIKOR algorithm identifies West Kalimantan as the optimal site for NPP construction, evidenced by its lower VIKOR index of 0.3599, indicating a higher overall preference based on the evaluated criteria. The study demonstrates that the integration of Fuzzy-AHP and Fuzzy VIKOR methods prioritizes critical socio-economic factors and quantitatively assesses potential sites, offering a systematic and objective approach to support decision-making in NPP site selection.

Evaluation of the Performance of Technology Companies using VIKOR Algorithm

Technology sector plays a central role in a country nowadays. The development of the current era where the contribution of technology cannot be denied and should be greatly concerned by the government indeed. The financial structure of the technology companies is needed to be improved so that they are more resistant to economic fluctuations. Moreover, the technology sector constitutes an essential part of global employment, and it can also contribute to world economic growth in an effective way. For nowadays’ trends, the competitive environment forced companies to utilize their financial resources effectively. As a result, the financial performance (FP) of the technology companies is investigated in this study. The FP is assessed by the important financial factors, which are current assets, total assets, current liabilities, total liabilities, revenue and net income. The purpose of this research is to propose a research framework to determine the FP and ranking of Malaysia’s technology companies using VIKOR algorithm. According to the results of this research, the five top-performing companies in terms of FP are MYEG, INARI, VSTECS, VITROX and PENTA. Based on the optimal solution of VIKOR algorithm, OMESTI is not able to show good financial performance as compared to other technology companies. This paper is also capable to provide insight into the technology companies for benchmarking in the future based on the ranking and current financial status of the companies. This study is significant to investigate the FP and ranking of technology companies with the proposed VIKOR algorithm.

Implementation of Vikor Algorithm in Web-Based Recommendation System for Obstetrician Selection

The process of childbirth is a natural event for women; with the increase in birth rates, selecting a suitable obstetrician becomes essential. However, many couples find it challenging to choose the right obstetrician, from consultations to hospital births. This study aims to develop an obstetrician recommendation system to overcome decision-making challenges that involve many criteria. The method used is VIseKriterijumska Optimizacija Kompromisno Resenje (VIKOR), which is one of the best methods in Multiple Criteria Decision Making (MCDM) for ranking and selecting alternatives. This method involves several steps, including determining the weight of the criteria, normalizing the matrix, calculating the Utility Measure and Regret Measure, and calculating the VIKOR index. Testing was carried out through scenario tests and user survey tests using the USE questionnaire. The scenario test results show the successful implementation of VIKOR in this system. The results of the user survey test indicated a high level of satisfaction with a score of 83.34%, which fulfilled the four variables in the USE questionnaire: usability (79.76%), ease of use (84.81%), ease of learning (84.81), and satisfaction (83.31%). The results of this study have important implications for increasing the effectiveness of decision-making in selecting the right obstetrician. By incorporating the VIKOR method into an application, this research provides a valuable contribution to developing a VIKOR-based recommendation system. It emphasizes the importance of applying this method in complex decision-making environments.

TCM Physical Health Management Training and Nursing Effect Evaluation Based on Digital Twin

Traditional Chinese medicine (TCM) has been shown to be effective in the treatment of diseases such as malaria, being better understood and accepted by the world. TCM physical health management is based on the policy of “preventive disease,” comprehensively collects patients’ information, and provides timely and appropriate rehabilitation guidance to achieve the best nursing effect. However, the current TCM physical health management has not been understood by the public, and the effect of its nursing evaluation has not been concluded yet. Therefore, this paper aims to design a TCM physical health management training and learning system based on digital twin technology and to evaluate and analyze the nursing effect. For TCM physical health management training, this paper designed a training system based on the VIKOR algorithm. Based on digital twin technology, the training can be carried out at different times and places, and the teaching content can also be displayed in real time through the cloud platform, which intuitively and comprehensively reflects the teaching content. For the evaluation of nursing effect, this paper selected 100 patients and divided them into two groups to compare the nursing effect of TCM physical health management and general Western medicine nursing. The experimental results of this paper found that the nursing effect of TCM physical health management is 20%–60% better than that of Western medicine nursing in terms of blood pressure, TCM syndromes, exercise tolerance, and quality of life.

Eco-Friendly Machining of Ti-6Al-4V Alloy: Optimization Using a Hybrid Algorithm (Grey Wolf Algorithm and VIKOR Algorithm)

Eco-Friendly Machining of Ti-6Al-4V Alloy: Optimization Using a Hybrid Algorithm (Grey Wolf Algorithm and VIKOR Algorithm)

Hybrid beamforming with relay and dual-base stations blockage mitigation in millimetre-wave 5G communication applied in (VIOT)

Wireless millimetre-wave communication has been adopted in fifth-generation telecommunication due to its larger bandwidth, low interference, and higher resolutions. Despite these advantages, millimetre-wave communication faces many limitations due to path loss and blockages in the environment. In this paper, a spectral-efficient hybrid beamforming approach was proposed to increase network connectivity and performance, which involved several processes. A relay node was selected as a forwarder to connect a blocked user to a base station using the multi-objective Squirrel search optimization algorithm. Furthermore, the optimal base station was selected based on significant parameters for effective connectivity using the dynamic Shannon entropy-based Fuzzy VIKOR algorithm. Drone base stations were also deployed to improve the network coverage and quality of service. Furthermore, the connectivity of a drone base station was influenced by its positioning and altitude, which was controlled using the trust-region policy optimization algorithm. The selected base station executed hybrid beamforming based on an accurate channel state information prediction once the user equipment was directly or indirectly (i.e. via relay node or drone base station) connected to it. In particular, the bi-directional gated recurrent unit model was used to accurately predict the channel state information. MATLAB (R2017b) was used to simulate the proposed hybrid beamforming model and evaluate its performance metrics in terms of throughput, spectral efficiency, bit error rate, number of server users, and achievable rate. The robustness of our approach is validated under two scenarios with perfect and imperfect CSI. The obtained results were compared with the results of two previous studies, which showed that the proposed model achieved a significant performance improvement.

The VIKOR Algorithm in Material Decision Support

The paper presents how to deal with frequent decision conflicts between design criteria that arise when selecting complex materials. The results show that the VIKOR model, in this case study, can also be used for extensive exploration of trade-offs and design return points, such as changes in environmental, material performance, and cost characteristics for the decision maker during design. In this paper, we examine the problem-solving algorithm for implementation.

A multi criteria decision based approach for facility location selection with flexible criteria weights

A multi criteria decision making method based on VIKOR is recommended for the facility location problem with flexible criteria weights. The VIKOR suggests ranking and selecting from among alternatives. Besides presenting the best alternative, the fuzzy VIKOR algorithm suggests the compromise ranking list and also the compromise solution. A case study is discussed to make the detailed analysis.

An Innovative Job Evaluation Approach Using the VIKOR Algorithm

Fairness is a key issue that requires the attention of human resource management practitioners. Having a robust methodical procedure for identifying the value of job positions in an enterprise is essential. Consequently, there is a need for a job evaluation system that ensures fair compensation for each position. A poorly defined job evaluation system creates the dilemma of mismatches between employees and their competencies for their responsibilities and, accordingly, their wages. This results in employee dissatisfaction, which ultimately exacerbates attrition, which is costly because of the loss of talented employees. This paper proposes a VIKOR algorithm as an innovative approach to job evaluations. Engineering-related positions in an international aviation company were analyzed to illustrate the appropriateness of the proposed approach for managing the job evaluation dilemma. The results indicate that 29 job grades would be appropriate for this firm. In addition, the proposed algorithm was found to be superior to other multiple-criteria decision-making techniques at managing the job evaluation dilemma.

Decision Support System for Staff Assignment Using VIKOR Algorithm

Call center staff is a staff who work in providing repair or servicing services by telephone. This staff is in charge of explaining the solutions to be carried out by the company in obtaining answers. Call center staff must have a good temperament and smart. In getting good staff, companies can use a decision support system with the VIKOR method to select and select these staff. Five criteria will be tested in determining the staff. The results of the VIKOR method can help companies find call center staff that match company expectations. The ranking results can determine the level of results of the VIKOR method test on call center staff who are used as candidates or alternatives. By implementing this method, the search for call center staff will be better.

A collective intelligence oriented three-layer framework for socialized and collaborative product design

Socialized and collective intelligence oriented product design (SCPD) is a new kind of design pattern emerged under the context of advanced internet technologies and sharing economic trend. It is usually carried out by large numbers of socialized and self-driven participators from different social backgrounds in an open, sharing, self-organized, distributed, and collaborative manner. These characteristics bring SCPD with advantages such as rich design resources, high innovation potentials, deep connection with customer-centric markets, etc., but the characteristics also cause the problems of low efficiency and low reliability during the collaborative design process of SCPD. To mitigate these problems, a collective intelligence oriented three-layer SCPD framework is established. The first layer focuses on design task decomposition and subtask analysis. The second layer focuses on generating alternative design solutions for the subtasks using a customized Blackboard model. The third layer focuses on identifying the most preferred solution using a fuzzy VIKOR algorithm driven consensus reaching model. The SCPD framework is able to support orderly interaction, mutual inspiration, group decision making, and participation stimulation among the socialized participators. In this way, the framework provides a more systematic and efficient approach to utilize the CI from SPs for product design, and thus enlarges the application scope of SCPD pattern from software and small-scale physical products to relatively complicated and high-value physical products. The operability of the framework is demonstrated through an innovative 3D printer design project.

Effective sensor placement based on a VIKOR method considering common cause failure in the presence of epistemic uncertainty

Owing to expensive cost and restricted structure, limited sensors are allowed to install in modern systems to monitor the working state, which can improve their availability. Therefore, an effective sensor placement method is presented based on a VIKOR algorithm considering common cause failure (CCF) under epistemic uncertainty in this paper. Specifically, a dynamic fault tree (DFT) is developed to build a fault model to simulate dynamic fault behaviors and some reliability indices are calculated using a dynamic evidence network (DEN). Furthermore, a VIKOR method is proposed to choose the possible sensor locations based on these indices. Besides, a sensor model is introduced by using a priority AND gate (PAND) to describe the failure sequence between a sensor and a component. All placement schemes can be enumerated when the number of sensors is given, and the largest system reliability is the best alternative among the placement schemes. Finally, a case study shows that CCF has some influence on sensor placement and cannot be neglected in the reliabilitybased sensor placement.

Application of hybrid MCGDM model combined with VIKOR method in power grid equipment optimization

The evaluation index of national grid equipment procurement source value system has multi-dimensional, multilateral and multi-attribute characteristics which can cause problems, in order to solve these problems and find out optimize grid equipment suppliers, this paper put forward a hybrid multi-criteria group decision-making (HMCGDM) model combined with VIKOR algorithm. Firstly, constructing the index stereo network and introducing the intuitionistic fuzzy number (IFN) into the model in order to avoid the hard division of the decision judgment matrix. Secondly, using the ANP algorithm to calculate the joint-edge relationship value of each index at individual layers, and constructing the weighted super matrix to calculate the subjective weight value of the bottom indexes. Then, calculating the objective weight value of the bottom evaluation index by using Entropy method, and combining it with the subjective weight value to modify the overall weight value. Finally, using the VIKOR algorithm to rank the alternative programmes, and making comparison with the model formed through the TOPSIS method. The results show that the VIKOR algorithm can calculate the weight values of the bottom indexes in the complex relational network objectively and effectively, and having a good applicability for the equipment optimization.

Failed handoffs in collaborative Wi-Fi networks

Cognitive radio networks enable a more efficient use of the radioelectric spectrum through dynamic access. Decentralized cognitive radio networks have gained popularity due to their advantages over centralized networks. The purpose of this article is to propose the collaboration between secondary users for cognitive Wi-Fi networks, in the form of two multi-criteria decision-making algorithms known as TOPSIS and VIKOR and assess their performance in terms of the number of failed handoffs. The comparative analysis is established under four different scenarios, according to the service class and the traffic level, within the Wi-Fi frequency band. The results show the performance evaluation obtained through simulations and experimental measurements, where the VIKOR algorithm has a better performance in terms of failed handoffs under different scenarios and collaboration levels.

An adaptive algorithm for energy efficient network selection in heterogeneous networks

In heterogeneous environment, mobile terminals should be equipped with multiple interfaces to have requisite services from available networks. This flexibility is achieved at the cost of significant power consumption at network side as well as mobile terminals. Energy consumption of mobile terminal increases with increase in simultaneous connections as well as user applications. When a user roams in the overlapping area of different networks, it is required to maintain service continuity with the network which offers requisite quality of service and maximum lifetime to the mobile terminal. So, a VHO technique, which provides optimum network selection by considering user's preferences and at the same time is able to adapt to the current battery status is the need of the day. In this work, an adaptive algorithm for network selection is proposed which provides a balance between desired quality of service (QoS) with the present battery level of mobile terminal. Vector normalised preferred performance-based VIKOR (V-VPP) algorithm is used as a baseline algorithm for energy efficient network selection. Performance of V-VPP is also compared with conventional multiple attribute decision-making algorithms on the bases of number of handovers, lifetime and network selection.

An adaptive algorithm for energy efficient network selection in heterogeneous networks

In heterogeneous environment, mobile terminals should be equipped with multiple interfaces to have requisite services from available networks. This flexibility is achieved at the cost of significant power consumption at network side as well as mobile terminals. Energy consumption of mobile terminal increases with increase in simultaneous connections as well as user applications. When a user roams in the overlapping area of different networks, it is required to maintain service continuity with the network which offers requisite quality of service and maximum lifetime to the mobile terminal. So, a VHO technique, which provides optimum network selection by considering user's preferences and at the same time is able to adapt to the current battery status is the need of the day. In this work, an adaptive algorithm for network selection is proposed which provides a balance between desired quality of service (QoS) with the present battery level of mobile terminal. Vector normalised preferred performance-based VIKOR (V-VPP) algorithm is used as a baseline algorithm for energy efficient network selection. Performance of V-VPP is also compared with conventional multiple attribute decision-making algorithms on the bases of number of handovers, lifetime and network selection.

VIKOR MADM Based Optimization Method For Vertical Handover In Heterogeneous Networks

Optimum network selection is one of the major issues for vertical handover in heterogeneous networks so as to provide requisite quality of service (QoS) to the user. In this context, multiple attribute decision-making algorithms provide a promising solution. Normalization process used can play a vital role in selecting the most appropriate network during the handover process.In this work, vector normalized preferred performance based (V-VPP) normalization technique is proposed and applied to MADM based VIKOR algorithm. Performance of the proposed technique is analyzed extensively by varying QoS parameters and weighting methods for different traffic classes in a heterogeneous network The results obtained are compared with the available MAX, MAX-MIN and Vector normalization.The proposed method is also compared with the popular MADM algorithms. Performance of proposed method is quite optimistic in terms of lesser number of handovers, ranking abnormality, selection of appropriate network though with slight increase in handover latency in comparison to the available normalization methods.

An approach to energy efficient vertical handover technique for heterogeneous networks

Energy consumption is critical issue in heterogeneous networks comprising of proliferation of different types of wireless networks. The next generation mobile terminals are equipped with multiple interfaces to associate themselves with one or more networks at the same time. Vertical handover techniques facilitate the user to have ubiquitous access with desired quality of service but increased energy consumption with time. Thus energy aware vertical handover techniques are highly desirable in present era of heterogeneous networks. In this work, an approach to energy efficient vertical handover technique has been suggested and analyzed for different traffic classes. The proposed approach is based on vector normalized preferred performance based VIKOR algorithm (V-VPP) for performing handover. It resulted in lesser energy consumption in the presence of three interfaces WLAN, WIMAX and cellular interface operating simultaneously.

The UAV Landing Quality Evaluation Research Based on Combined Weight and VIKOR Algorithm

This paper aims to use the VIKOR method to evaluate the landing quality of unmanned aerial vehicle (UAV) based on flight parameters, determining the parameter interval of the landing quality classification. At present, the evaluation of UAV landing quality mainly depends on experts’ experience or single parameter exceeding the limit, whose results are inevitably lack of scientific and objectivity. In order to improve this problem, we evaluated the landing quality with multiple flight parameters, and determined the absolute criteria using the resulting ranking. Firstly, analyzed the influence of flight parameters on the landing quality, and determined the decision matrix. Secondly, use the combination weighting method consisting of the precedence chart method and the entropy weight method to determine the weights. Moreover, VIKOR was selected as the method, whose results was given by comprehensive evaluation with sorts of flight parameters. And then we took the original data that landing sorties was in the top 20% VIKOR ranking and determined the absolute criteria for UAV landing quality evaluation. Finally, compared the evaluation results of the TOPSIS and VIKOR, it can be known that there is a high similarity between TOPSIS and VIKOR ranking with correlation coefficient 0.917, but the VIKOR method is better in UAV landing quality evaluation.

Decision Making Support Systems with VIKOR Method For Supply Chain Management Problems

In this work scientific and simple calculation method for manufacturer�s decision-makers to choose the most ideal supplier in the Supply Chain Management problem has been provided. As a fundamental decision-making for manufacturers, the quality of supplier performance not only affects the downstream business, but also determines the success of the whole supply chain. Therefore, choosing suitable suppliers in the supply chain becomes a key strategic step; it directly impacts the benefit for manufacturers. This paper deals with the supplier selection problem based on VIKOR algorithm (Vlse Kriterijumska Optimizacija Kompromisno Resenje) which is a compromise multiple criteria decision making approach with entropy method which gives the weights to indicators. The VIKOR algorithm deals with the conflicts between indicators based on certain way to sort the scheme and choose the best scheme. A numerical example is proposed to illustrate the effectiveness of this algorithm. However, Sensitivity Analysis for the weighting vectors is performed to make the result of evaluations more objective and accurate.