VIKOR Method Research Articles

Integrating User Feedback into Air Purifier Innovation: The FKANO-DEMATEL-VIKOR Decision Framework

As the demand for indoor air quality increases, air purifier design faces new challenges. This study adopts the FKANO-DEMATEL-VIKOR integrated model. Through 115 questionnaires, user needs are identified, with the FKANO model recognizing key requirements, DEMATEL analyzing the interdependencies and importance of these needs, and three air purifier designs being developed. The VIKOR method is then used to select the optimal solution, which is compared with two existing products for validation. This study proposes a comprehensive scientific approach to meet user needs, providing reliable decision support for air purifier design, enhancing user satisfaction, and improving product competitiveness. The stability of the integrated model under different weight settings is also verified, demonstrating its significant potential in meeting user needs and increasing product competitiveness. Additionally, for engineering management, this research emphasizes the importance of thoroughly understanding user needs. Engineering managers should encourage teams to conduct in-depth user research, consider interdependencies among requirements, make decisions based on comprehensive evaluations, and perform sensitivity analysis to ensure the product design maintains a competitive edge in the market.

Balancing act: The role of risk, cost, benefit, and opportunity in green energy decision making

This research examines the strategic development and progress of green energy initiatives on offshore islands under the auspices of the Chinese government. The primary methodologies employed are the Decision Making Trial and Evaluation Laboratory and the analytic network process, in conjunction with the VIKOR method. The analysis focuses on four primary dimensions: benefits, opportunities, costs, risks, and their respective subdimensions. Results indicate the need to consider risk first, followed by cost, benefit, and opportunity. They also underscore the importance of the government focusing on risk management and cost-effectiveness when implementing green energy infrastructure. Subsequently, the potential benefits and opportunities should be evaluated to enhance the effectiveness of green energy systems in Taiwan's offshore islands and ensure optimal operational efficiency.

Analysing the Failure Modes of Water Treatment Plant Using FMEA Based on Fuzzy AHP and Fuzzy VIKOR Methods

Analysing the Failure Modes of Water Treatment Plant Using FMEA Based on Fuzzy AHP and Fuzzy VIKOR Methods

Urban soil ecological risk assessment based on "climate change- resilience".

Under the dual pressures of global climate change and rapid urbanization, urban soil ecosystems face increasingly complex risks and challenges. Existing urban soil ecological risk assessment methods are primarily limited to single-dimensional analysis or linear assessment models, making it difficult to reveal the complex interaction mechanisms among soil, climate, and human activities. This study pioneers the integration of social-ecological system theory with multi-criteria decision-making methods to innovatively construct a dynamic coupling assessment framework. This framework employs the AHP-DEMATEL method to identify causal relationships and feedback mechanisms between indicators, while utilizing the VIKOR method for comprehensive quantitative risk assessment. Through an empirical analysis of 11 prefecture-level cities in Zhejiang Province, this study reveals that: (1) climate change-related indicators demonstrate dominant weights, with the impact of extreme weather (C3) reaching a comprehensive weight of 0.1082, significantly higher than other indicators; (2) soil biodiversity (C8) exhibits the highest centrality (10.112), forming a key feedback node in the assessment system, highlighting the crucial role of biological factors in maintaining soil system stability; (3) green infrastructure coverage (C16) shows the highest cause degree (2.261), generating complex cascade effects through its influence on soil temperature, moisture, and biodiversity; (4) urban risk levels display significant spatial heterogeneity, with Lishui performing optimally (group benefit value S = 0.069) and Zhoushan performing poorest (S = 1.000), quantifying the impact of economic development patterns and geographical location on soil ecological risk. The dynamic coupling assessment framework and quantitative indicator system established in this study provide a new paradigm for understanding the complexity of urban soil ecosystems.

Evaluation of a New Approach in Water Quality Assessments Using the Modified VIKOR Method

Evaluation of a New Approach in Water Quality Assessments Using the Modified VIKOR Method

AI in airport operations: enhancing competitiveness and satisfaction

ABSTRACT During COVID-19, airports adopted biometric technologies, RFID for baggage tracking, and AI like smart check-in to minimise contact and enhance efficiency. AI also addresses infrastructure limitations and enhances competitiveness. Most studies focus on improving traveller experiences and operations, with limited research on gaps between traveller and operator preferences. This study bridges that gap using DEMATEL and VIKOR methods, revealing that travellers prioritise convenience and real-time information. By contrast, experts value predictive capabilities. Findings suggest that aligning AI-driven predictive technologies with traveller needs can boost satisfaction and efficiency, offering a win-win solution and strategic guidance for competitive airport operations.

Optimizing Building Energy Conservation by Balancing between Energy Savings and Construction Costs of Two Passive Techniques via VIKOR Method: A Case Study in Chongqing

Optimizing Building Energy Conservation by Balancing between Energy Savings and Construction Costs of Two Passive Techniques via VIKOR Method: A Case Study in Chongqing

Multi-criteria analysis of agricultural bioenergy chains

This study proposes optimal supply chain models for agricultural biomass, focusing on straw and corn stalks. Four bioenergy chains-corn stalk pellets, corn stalk chips, straw bales, and straw pellets-were evaluated using multicriteria decision-making (MCDM) tools and life cycle assessment (LCA). Key criteria included energy efficiency, investment costs, fuel production costs, and environmental impacts such as greenhouse gas emissions, acidification, eutrophication, and particulate matter formation. Results indicate that straw bales (L3) and corn stalk chips (L2) offer the most sustainable options, with straw bales demonstrating superior energy efficiency and lower environmental impacts. The VIKOR method, combined with the Entropy Weight Method (EWM), identified straw bales as the optimal supply chain under various weighting scenarios. These findings provide actionable insights for sustainable bioenergy development and policy formulation.

Dose-Weighted Network Pharmacology: Evaluating Traditional Chinese Medicine Formulations for Lumbar Disc Herniation.

Lumbar disc herniation (LDH) significantly impacts individuals, particularly those aged 40-45. Traditional Chinese Medicine (TCM) formulations such as Taohong Siwu Decoction (TSD), Yaotong Jizheng Decoction (YJD), and Panlong Qi Tablet (PQT) are widely used for treatment. This study introduces dose-weighted network pharmacology, a novel approach that incorporates drug dosage as a quantitative factor into network analysis to evaluate better and compare the therapeutic potential of TCM formulations. This study combines drug dosage with the PPI network to propose a theoretical algorithm for comparing the therapeutic efficacy of different traditional Chinese medicine formulations. The VIKOR method was used to assess the importance of therapeutic targets, with weights assigned based on both drug and disease perspectives. TSD, YJD, and PQT were evaluated in animal experiments, and the algorithm's feasibility was validated through GO and KEGG pathway analysis, Thermal Hyperalgesia Test, H&E staining, Western blotting (WB), RT-PCR, and ELISA assays. The computational model indicated that YJD and PQT had higher predicted efficacy compared to TSD. These predictions were confirmed in animal studies, where YJD demonstrated the greatest reduction in thermal hyperalgesia and the most significant decrease in inflammatory markers, surpassing both TSD and PQT. GO and KEGG pathway analyses highlighted key pathways related to oxidative stress and inflammation, providing mechanistic insights into the effectiveness of the treatments. Incorporating dosage as a reference factor into network pharmacology research proved feasible and effective, emphasizing the importance of precise dosage control in TCM formulations for treating LDH. The new algorithm provided reliable predictions, demonstrating its potential to enhance the design and evaluation of TCM formulations. Future improvements, such as establishing a target acceptance rate database, could further refine the algorithm, expanding its application in personalized medicine and targeted therapy.

Bending Force and Spring-Back in V-Die-Bending of Perforated Sheet-Metal Components Using VIKOR Method

Sheet metal can be made from different metals, including tin, nickel, steel, copper, brass, zinc, and chrome. Silver, gold, and palladium (which is also employed as a catalyst) are among significant sheet metals for aesthetic purposes. When force exerted to a sheet of metal, the materials is elastically deformed and its geometric is changed without any substance being removed. This is known as sheet metal shaping. In the sheet metal formation process, a metal is reshaped while it is still solid. Some metals' plasticity allows for the deformation of a solid piece of metal into a desirable shape without compromising mechanical integrity. Cutting, striking, folding, and welding flat pieces of steel or copper into metal structure or goods is known as sheet metal manufacturing. Almost any shape can be created by cutting, bending, or stretching sheet metal; this is typically accomplished by heating the metal. Alternative Taken as Thickness, Yield Strength, Ultimate tensile, Maximum elongation. Assessment option The cold-rolled materials used consisted of an electro-galvanized draw quality special killed steel of two different thickness (EGCR3, EGCR3- 2), hot dipped galvanized draw quality special killed steel (HDGCR3), carbon sheet Chrysler Spec MS-steel (CRDSTB), electro-galvanized-annealed high strength steel (HSGS25S), a generic carbon steel (EG250B). from the result is based on EGCR3-2 are the result seen and got the first Rank, whereas the EG250B got having the lowest rank. The Value of dataset for sheet metal components in VIKOR method shows that it results in EGCR3-2 and top ranking

Application of the VIKOR method for solving problems in logistics

Abstract When companies make strategic decisions, responsible persons must take into account as many influential parameters as possible so that the solution to the given problem is the most optimal, that is, they make the most appropriate decision. Multi-criteria decision-making (MCDM) can find a very large application for solving such very complex and important issues, where it is of particular importance that the company makes the most appropriate decision. Making the optimal decision for a given problem directly affects the financial performance of a given company. In this paper, the VIKOR method will be applied, which until now has not been used to solve problems related to the choice of warehouse location, but is very often and very successfully used to solve various complex problems when applying multi-criteria decision making (MCDM). The purpose of this paper is to show that the VIKOR method can be successfully applied to select the optimal warehouse location for a company that has subsidiaries in multiple locations.

Multi-criteria assessment of ICT development in public administration in Poland

Information and communications technology (ICT) has become a stimulus for socioeconomic change and created new prospects for the development of e-government, thereby ushering in a new era in the provision of public services. With the development of ICTs, new ways of delivering public services are increasingly popular, and new opportunities that offer a chance to improve the professional position of public officials are emerging. Therefore, the main aim of this study is to assess the development of ICT technologies in state and local government entities in Poland. A review of the literature on the subject using the triangulation method allowed one to bring closer the considerations on the development of e-government services in Poland and the world, and the implementation of ICT tools in public administration entities. Based on an index analysis, the access of public administration entities and their employees to the Internet and ICTs and the development of public services provided electronically were assessed. The results of the study showed that the COVID-19 pandemic has accelerated changes in access to e-government services and the growth of remote work. It has highlighted the need to equip workers and train them properly. The analysis of the EGDI index places Poland in 34th place among UN countries in 2022. Concerning EU countries, Poland was ranked 17th for OSI and 16th for HCI and TII. In turn, our research using multicriteria analysis methods allows us to conclude that public administration activities in Poland should be directed at local units. The use of linear ordering measures in the research (TOPSIS, VIKOR, and Hellwig) allowed us to establish a ranking of individual levels of public administration in Poland for the development of ICT technologies. The leader in the ranking according to all three methods is the marshal offices. The last position in the ranking according to the VIKOR method is shown by municipal offices, according to the TOPSIS and Hellwig methods, they are in the penultimate position. Keywords: ICT; TOPSIS; Hellwig, VIKOR, public administration units, Poland

An improved PLTS-VIKOR model based on combined weights method in evaluation for online hotel reservation selection

Since the traditional method may cause the loss of linguistic information, in this paper, we chose the probabilistic linguistic term set (PLTS) to describe the evaluation index for the decision problem, then we propose an improved VIKOR method to select the best hotel. However, the traditional VIKOR method has lost original information and experts’ preference information, so the PLTS-VIKOR method is proposed for tourists. In addition, the weaknesses and strengths of traditional weighting methods are analyzed; the BWM and the CRITIC method for PLTS are developed to determine the subject and object weights. Then, a comprehensive combined weighting method based on the minimum total deviation principle is proposed. Further, we integrate the PLTS with all weighting methods. Finally, a case example of 5 online hotels is performed to illustrate the application of the improved approach, and the superiority and effectiveness are proved by comparative analysis.

A VIKOR-Based Sequential Three-Way Classification Ranking Method

VIKOR uses the idea of overall utility maximization and individual regret minimization to afford a compromise result for multi-attribute decision-making problems with conflicting attributes. Many researchers have proposed corresponding improvements and expansions to make it more suitable for sorting optimization in their respective research fields. However, these improvements and extensions only rank the alternatives without classifying them. For this purpose, this text introduces the three-way sequential decisions method and combines it with the VIKOR method to design a three-way VIKOR method that can deal with both ranking and classification. By using the final negative ideal solution (NIS) and the final positive ideal solution (PIS) for all alternatives, the individual regret value and group utility value of each alternative were calculated. Different three-way VIKOR models were obtained by four different combinations of individual regret value and group utility value. In the ranking process, the characteristics of VIKOR method are introduced, and the subjective preference of decision makers is considered by using individual regret, group utility, and decision index values. In the classification process, the corresponding alternatives are divided into the corresponding decision domains by sequential three-way decisions, and the risk of direct acceptance or rejection is avoided by putting the uncertain alternatives into the boundary region to delay the decision. The alternative is divided into decision domains through sequential three-way decisions, sorted according to the collation rules in the same decision domain, and the final sorting results are obtained according to the collation rules in different decision domains. Finally, the effectiveness and correctness of the proposed method are verified by a project investment example, and the results are compared and evaluated. The experimental results show that the proposed method has a significant correlation with the results of other methods, ad is effective and feasible, and is simpler and more effective in dealing with some problems. Errors caused by misclassification is reduced by sequential three-way decisions.

Water Use Attribution Analysis and Prediction Based on the VIKOR Method and Grey Neural Network Model: A Case Study of Zhangye City

Water consumption forecasting is a critical aspect of the increasingly strained water resources and sustainable water management processes. It is essential to explore the current status of water use patterns and future development directions in Zhangye City. In this study, 17 factors affecting water consumption in Zhangye City were selected to analyze changes in water consumption and to predict values from 2003 to 2022, utilizing the entropy weight–VIKOR model and the grey neural network model. The results indicate that agricultural water consumption and annual rainfall are the factors with the largest weights among the social and natural attribute indicators, respectively, significantly influencing water consumption in Zhangye City. As the proportions of water consumption for forestry, animal husbandry, fishery, livestock, urban public use, and ecological environment increase, while agricultural water consumption continues to decline, the overall water consumption trend in Zhangye City from 2003 to 2022 shows a positive trajectory. Each water consumption factor is tending toward greater balance, and the relationship between water supply and distribution is improving. The multi-year average relative error of the water consumption predictions for Zhangye City from 2003 to 2022 using the grey neural network model was 4.28%. Furthermore, the relative error values for annual predictions ranged from 0.60% to 5.00%, achieving an accuracy rate of 80.00%. This indicates a strong predictive performance. Ultimately, the model was used to predict a water consumption of 20.18 × 108 m3 in Zhangye City in 2027. The model can serve as a theoretical reference for short-term water consumption forecasting and for establishing a basin water resource allocation system in Zhangye City.

An enhanced dynamic-network-based framework for quantifying and enhancing the resilience of disaster response networks to old communities under rainstorm waterlogging

Developing effective disaster response networks (DRNs) is crucial for mitigating the impacts of rainstorm waterlogging in old communities. Aiming at providing implementable strategies for enhancing DRN resilience, this paper developed an enhanced dynamic network analysis (DNA)-based framework for DRNs utilizing the DNA and CRITIC-VIKOR method. This framework conceptualizes community disaster response as a three-stage ‘agent-information-resource-task’ (A-I-R-T) dynamic network, facilitating a comprehensive understanding of interactions among stakeholders, disaster information, emergency resources, and response tasks. Subsequently, a hybrid evaluation model combining CRITIC and VIKOR methods was established to quantify DRN resilience by assessing deviations from ideal response scenarios. Validated through a case study of the Y community in Xuzhou city of China, the findings reveal significant variations in stakeholder communication effectiveness across different stages of disaster response, with resilience peaking during the function recovery stage at 0.292. This study not only contributes to the body of knowledge in disaster management and resilience theory but also provides actionable strategies for enhancing DRN resilience, thereby contributing to more resilient urban environments.

Development of Semi-Mountainous and Mountainous Areas: Design of Trail Paths, Optimal Spatial Distribution of Trail Facilities, and Trail Ranking via MCDM-VIKOR Method

This study proposes a sustainable ecotourism framework for the development of semi-mountain and mountain regions of Paiko in Greece, focusing on the strategic design and ranking of trail paths using the multi-criteria decision-making (MCDM) VIKOR method. Aiming to balance environmental conservation with economic benefits, we designed 19 trails paths and allocated signage for resting and recreation facilities. The trail paths were assessed based on criteria such as length, difficulty, scenic appeal, and accessibility. This approach identified key trails that combine scenic beauty with infrastructure suitable for a broad range of visitors, thereby enhancing sustainable tourism appeal. Stakeholder engagement was integral to shaping the trail network, ensuring that the selected paths reflect local values and priorities. This study highlights how the VIKOR method can optimize resource allocation by ranking trails according to their environmental and visitor-centered attributes, supporting regional economic growth through ecotourism. This framework offers a replicable model for other mountainous regions seeking to harness ecotourism’s potential while preserving natural ecosystems. The findings demonstrate the capacity of well-planned trail networks to attract nature-based tourism, stimulate local economies, and respond to the rising post-pandemic interest in outdoor recreation, while promoting long-term conservation efforts. This approach offers a replicable model for the sustainable development of mountainous and semi-mountainous areas in Greece and beyond.

Multi-Objective Optimization Design of Traditional Soil Dwelling Renovation Based on Analytic Hierarchy Process—Quality Function Deployment—Non-Dominated Sorting Genetic Algorithm II: Case Study in Tuyugou Village in Turpan, Xinjiang

As the socio-economic landscape expands and tourism flourishes, the traditional earthen dwellings of Tuyugou Village, Turpan, Xinjiang, face significant challenges, including low energy efficiency and suboptimal living comfort, necessitating data-driven and scientifically robust renovation strategies. Existing renovation methods, however, often lack empirical support and rely heavily on the subjective judgments of architects, thus hindering the effective preservation and transmission of cultural heritage. This research addresses the renovation of these traditional dwellings by employing the AHP method to systematically evaluate user requirements, with input from diverse stakeholders, including homeowners, tourists, experts, and government authorities. The study then applies the QFD method to construct the House of Quality, translating user needs into specific design attributes; this is followed by a comprehensive quantitative analysis for optimization. A novel multi-objective optimization model (MOP) is introduced, with materials as the central focus, addressing key aspects of engineering, culture, and energy conservation. The NSGA-II algorithm is utilized to generate optimal Pareto solutions, which are then further refined using the entropy-weighted VIKOR method. Among the ten pre-selected renovation solutions, the sixth design plan was identified as the optimal choice, excelling in cost control, cultural integration, and energy performance. Specifically, it achieved a unit construction cost of RMB 340.566/m2, a cultural adaptability score of 1.5364, and an energy cost of RMB 352.793/kWh, thereby demonstrating an effective balance between traditional architectural elements and modern requirements. The objective decision making enabled by the VIKOR method successfully balances cultural preservation with contemporary needs, enhancing both living standards and tourism appeal. This study offers innovative and empirically grounded renovation strategies for traditional dwellings in arid and semi-arid climates, providing a framework that effectively balances cultural preservation and modernization.

Governance of rural solid waste under a multi-subject governance model

Rural solid waste (RSW) exhibits distinct characteristics compared to municipal solid waste (MSW), such as dispersed distribution, long governance chains, and low recycling value, making it unsuitable to apply the same management measures as MSW. Government-led RSW management results in excessive administrative costs, and the inherent characteristics of RSW reduce market enthusiasm for its management. To address these issues, this paper integrates the “ multi-subject governance “ model with RSW management and establishes a systematic evaluation index system for RSW governance. Utilizing the Best-Worst Method (BWM), key factors were identified. Utilizing the VIKOR method, representative provinces in China were used as case studies to validate the scientific nature of the evaluation indices. The research findings indicate that the multi-subject governance model is an effective approach for RSW management. Key factors influencing RSW management effectiveness include various governmental measures, waste sorting, and a long-term multi-subject governance mechanism. Case analysis reveals a strong correlation between the level of economic development and the effectiveness of RSW management. However, constructing a government-led, multi-subject collaborative urban-rural interconnected RSW management model can effectively address RSW management issues in economically underdeveloped areas. This research provides innovative solutions for RSW management, contributing to high-quality and sustainable development in rural areas.

Web-Based Expert System Chatbot Determines The Best Cheap Camera For New Users Using The Vikor Method

In this technological era, a variety of new products have emerged, including in transportation, industry, health, entertainment and business. Cameras are an example of an increasingly diverse range of products, especially in mobile devices. However, the wide variety of cameras can be confusing. The VIKOR method is an approach to ranking the closest solution to the ideal solution in ranking. This is useful in situations where criteria conflict with each other, helping to find the optimal solution through a multicriteria ranking index. Especially in discrete decision making, VIKOR helps determine the ideal solution from conflicting alternatives. Testing this method is used in assessing cameras to help beginners choose the best type of camera based on user answers. By processing camera data through the VIKOR method and filter questions,