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  • Open Access


    Machine Learning for Data Fusion: A Fuzzy AHP Approach for Open Issues

    Vinay Kukreja1, Asha Abraham2, K. Kalaiselvi3, K. Deepa Thilak3, Shanmugasundaram Hariharan4, Shih-Yu Chen5,6,*

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 2899-2914, 2023, DOI:10.32604/cmc.2023.045136

    Abstract Data fusion generates fused data by combining multiple sources, resulting in information that is more consistent, accurate, and useful than any individual source and more reliable and consistent than the raw original data, which are often imperfect, inconsistent, complex, and uncertain. Traditional data fusion methods like probabilistic fusion, set-based fusion, and evidential belief reasoning fusion methods are computationally complex and require accurate classification and proper handling of raw data. Data fusion is the process of integrating multiple data sources. Data filtering means examining a dataset to exclude, rearrange, or apportion data according to the criteria. Different sensors generate a large… More >

  • Open Access


    An Integrated and Comprehensive Fuzzy Multi-Criteria Model for Electronic Wallet Selection

    Phuoc Van Nguyen*

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 2279-2301, 2023, DOI:10.32604/cmc.2023.030019

    Abstract Electronic wallet (E-wallet), which combines software, hardware, and human interaction, is a modern platform for electronic payment. Financial services managers can create more effective strategies for advancing existing positions by evaluating the success of e-wallet services. The objective of this research is to create an integrated model for assessing E-wallet services using the Fuzzy Analytic Hierarchy Process (FAHP) in conjunction with a technique for extent analysis and the ARAS approach (Additive Ratio Assessment). In this study, E-wallet service providers are ranked and evaluated using the ARAS approach and the FAHP priority weights. In addition, a case study from Vietnam illustrates… More >

  • Open Access


    Internet of Things Supported Airport Boarding System and Evaluation with Fuzzy

    Tolga Memika*, Tulay Korkusuz Polat

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 2687-2702, 2023, DOI:10.32604/iasc.2023.026955

    Abstract The existing systems sustained with the investments made require more automation and digital transformation with the continuous advancement of technology. The aviation industry is a sector that is open to more automation and digital transformation, mainly because of the intense competition and the analysis of a large variety of data. The long duration of operations in current airline processes and some process flows cause customer dissatisfaction and cost increase. In this study, the boarding process, which is one of the operational processes of airline transportation and is open to improvement, was discussed. The classical boarding process has been redesigned using… More >

  • Open Access


    Evaluating Security of Big Data Through Fuzzy Based Decision-Making Technique

    Fawaz Alassery1, Ahmed Alzahrani2, Asif Irshad Khan2, Kanika Sharma3, Masood Ahmad4, Raees Ahmad Khan4,*

    Computer Systems Science and Engineering, Vol.44, No.1, pp. 859-872, 2023, DOI:10.32604/csse.2023.025796

    Abstract In recent years, it has been observed that the disclosure of information increases the risk of terrorism. Without restricting the accessibility of information, providing security is difficult. So, there is a demand for time to fill the gap between security and accessibility of information. In fact, security tools should be usable for improving the security as well as the accessibility of information. Though security and accessibility are not directly influenced, some of their factors are indirectly influenced by each other. Attributes play an important role in bridging the gap between security and accessibility. In this paper, we identify the key… More >

  • Open Access


    Fuzzy MCDM Model for Selection of Infectious Waste Management Contractors

    Nguyen Van Thanh1, Nguyen Hoang Hai1,*, Nguyen Thi Kim Lan2

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2191-2202, 2022, DOI:10.32604/cmc.2022.026357

    Abstract Healthcare supply chains are under pressure to drive down costs because of digital business, shifting customer needs and new competition. Medical waste generated from medical facilities includes medical activities and daily-life activities of patients and their family members. According to statistics of the Department of Health Environmental Management, Vietnam currently has more than 13,500 medical facilities, including hospitals from central to provincial and district levels and private hospitals and medical facilities. Preventive medicine generates about 590 tons of medical waste/day and is estimated to be about 800 tons/day. Medical waste includes ordinary medical waste and hazardous medical waste; in which… More >

  • Open Access


    Two-Stage PLS-SEM and Fuzzy AHP Approach to Investigate Vietnamese SMEs’ Export Competitiveness

    Phi-Hung Nguyen1,2,*

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 4107-4123, 2022, DOI:10.32604/cmc.2022.026286

    Abstract Vietnam is paying great to the seafood exporting sector, offering various significant production advantages, concluding that it is critical to understand the competitiveness of the target market and implement effective strategies. However, due to COVID 19, the value of Vietnamese pangasius exports resulted in low and unpredictable profits for pangasius farmers. It is obvious to recognize competitiveness as Multi-Criteria Decision Making (MCDM) problem in the uncertain business environment. Therefore, this study is the first to propose a two-staged Partial Least Squares-Structural Equation Modeling (PLS-SEM) and Fuzzy Analytic Hierarchy Process (FAHP) analysis to identify potential criteria and comprehensively investigate the competitiveness… More >

  • Open Access


    Regulation Relatedness Map Creation Method with Latent Semantic Analysis

    Mehmet Murat Huyut1,*, Batuhan Kocaoğlu2, Ünzile Meram3

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 2093-2107, 2022, DOI:10.32604/cmc.2022.024190

    Abstract Regulatory authorities create a lot of legislation that must be followed. These create complex compliance requirements and time-consuming processes to find regulatory non-compliance. While the regulations establish rules in the relevant areas, recommendations and best practices for compliance are not generally mentioned. Best practices are often used to find a solution to this problem. There are numerous governance, management, and security frameworks in Information Technology (IT) area to guide businesses to run their processes at a much more mature level. Best practice maps can used to map another best practice, and users can adapt themselves by the help of this… More >

  • Open Access


    Two-Stage Fuzzy MCDM for Green Supplier Selection in Steel Industry

    Chia-Nan Wang, Thi-Ly Nguyen*, Thanh-Tuan Dang

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 1245-1260, 2022, DOI:10.32604/iasc.2022.024548

    Abstract Steel is one of the most powerful industries globally, and the associated products have a tremendous impact on nurturing a sustainable society. Considering environmental concerns within this industry's supply chain is highly successful in saving both energy and natural resources and lowering greenhouse gas emissions. In light of this, sustainable suppliers are considered input partners who play a specific role in the chain of business operations of every enterprise, maintaining them to achieve higher levels of customer satisfaction and thus gain more market share. Supplier selection can be characterized as a multi-criteria decision-making (MCDM) problem under a vague and uncertain… More >

  • Open Access


    Quantitative Evaluation of Mental-Health in Type-2 Diabetes Patients Through Computational Model

    Fawaz Alassery1, Ahmed Alzahrani2, Asif Irshad Khan2, Ashi Khan3,*, Mohd Nadeem4, Md Tarique Jamal Ansari4

    Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1701-1715, 2022, DOI:10.32604/iasc.2022.023314

    Abstract A large number of people live in diabetes worldwide. Type-2 Diabetes (D2) accounts for 92% of patients with D2 and puts a huge burden on the healthcare industry. This multi-criterion medical research is based on the data collected from the hospitals of Uttar Pradesh, India. In recent times there is a need for a web-based electronic system to determine the impact of mental health in D2 patients. This study will examine the impact assessment in D2 patients. This paper used the integrated methodology of Fuzzy Analytic Hierarchy (FAHP) and Fuzzy Technique for Order Performance by Similarity to Ideal Solution (FTOPSIS).… More >

  • Open Access


    Sustainability Evaluation of Modern Photovoltaic Agriculture Based on Interval Type-2 Fuzzy AHP-TOPSIS and Least Squares Support Vector Machine Optimized by Fireworks Algorithm

    Yi Liang1,2, Haichao Wang3,*, Wei-Chiang Hong4

    Energy Engineering, Vol.119, No.1, pp. 163-188, 2022, DOI:10.32604/EE.2022.017396

    Abstract Photovoltaics (PV) has been combined with many other industries, such as agriculture. But there are many problems for the sustainability of PV agriculture. Timely and accurate sustainability evaluation of modern photovoltaic agriculture is of great significance for accelerating the sustainable development of modern photovoltaic agriculture. In order to improve the timeliness and accuracy of evaluation, this paper proposes an evaluation model based on interval type-2 Fuzzy AHP-TOPSIS and least squares support vector machine optimized by fireworks algorithm. Firstly, the criteria system of modern photovoltaic agriculture sustainability is constructed from three dimensions including technology sustainability, economic sustainability and social sustainability. Then,… More >

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