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  • Open Access

    ARTICLE

    Supplier Selection Fuzzy Model in Supply Chain Management: Vietnamese Cafe Industry Case

    Chia-Nan Wang1, Hoang Tuyet Nhi Thai1,*, Nguyen Van Thanh2

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2291-2304, 2022, DOI:10.32604/cmc.2022.025477

    Abstract Supplier selection is a vital part of the supply chain and is also a current issue that concerns businesses today as supplier quality directly affects the operations of the organization. Choosing the right supplier can help businesses increase productivity, competitiveness in the market, and profits without having to lower the quality of the products. However, choosing a supplier is not a simple matter, it requires businesses to consider many aspects about their suppliers. Therefore, the goal of this study is to propose an integrated model consisting of two models: Fuzzy Analytics Network Process (Fuzzy-ANP) model and Weighted Aggregated Sum Product… More >

  • Open Access

    ARTICLE

    Machine Learning Based Framework for Maintaining Privacy of Healthcare Data

    Adil Hussain Seh1, Jehad F. Al-Amri2, Ahmad F. Subahi3, Alka Agrawal1, Rajeev Kumar4,*, Raees Ahmad Khan1

    Intelligent Automation & Soft Computing, Vol.29, No.3, pp. 697-712, 2021, DOI:10.32604/iasc.2021.018048

    Abstract The Adoption of Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), cloud services, web-based software systems, and other wireless sensor devices in the healthcare infrastructure have led to phenomenal improvements and benefits in the healthcare sector. Digital healthcare has ensured early diagnosis of the diseases, greater accessibility, and mass outreach in terms of treatment. Despite this unprecedented success, the privacy and confidentiality of the healthcare data have become a major concern for all the stakeholders. Data breach reports reveal that the healthcare data industry is one of the key targets of cyber invaders. In fact the last few… More >

  • Open Access

    ARTICLE

    Integrity Assessment of Medical Devices for Improving Hospital Services

    Fahad A. Alzahrani1, Masood Ahmad2, Mohd Nadeem2, Rajeev Kumar2,3,*, Raees Ahmad Khan2

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3619-3633, 2021, DOI:10.32604/cmc.2021.014869

    Abstract The present study examines the various techniques being used to maintain the integrity of the medical devices, and develops a quantitative framework to list these in the sequence of priority. To achieve the intended objective, the study employs the combined procedure of Fuzzy Analytic Network Process (ANP) and Fuzzy Technical for Order Preference by Similarities to Ideal Solution (TOPSIS). We selected fuzzy based decision making techniques for assessing the integrity of medical devices. The suggested methodology was then used for classifying the suitable techniques used to evaluate the integrity of medical devices. Different techniques or the procedures of integrity assessment… More >

  • Open Access

    ARTICLE

    Unified Computational Modelling for Healthcare Device Security Assessment

    Shakeel Ahmed*, Abdulaziz Alhumam

    Computer Systems Science and Engineering, Vol.37, No.1, pp. 1-18, 2021, DOI:10.32604/csse.2021.015775

    Abstract This article evaluates the security techniques that are used to maintain the healthcare devices, and proposes a mathematical model to list these in the order of priority and preference. To accomplish the stated objective, the article uses the Fuzzy Analytic Network Process (ANP) integrated with Technical for Order Preference by Similarities to Ideal Solution (TOPSIS) to find the suitable alternatives of the security techniques for securing the healthcare devices from trespassing. The methodology is enlisted to rank the alternatives/ techniques based on their weights’ satisfaction degree. Thereafter, the ranks of the alternatives determine the order of priority for the techniques… More >

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