Takagi-Sugeno-Kang type collaborative fuzzy rule based system

Chou, Kuang-Pen; Prasad, Mukesh; Lin, Yin-Ku; Joshi, S. K.; Lin, Cheng‐Jian; Chang, Jyh‐Yeong

doi:10.1109/cidm.2014.7008684

Cited by 13 publications

(5 citation statements)

References 22 publications

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“…Interpretive structural modeling (ISM) is employed to identify the inter-relationships amongst the variables and the developing hierarchical structure for the same variables. These methods were used in previous research for identifying adoption barriers in cross-sector collaboration; supply chain flexibility; and developing collaborative intelligent systems [127].…”

Section: Methodsmentioning

confidence: 99%

Modeling Conceptual Framework for Implementing Barriers of AI in Public Healthcare for Improving Operational Excellence: Experiences from Developing Countries

Joshi

Sharma

Das³

et al. 2022

Sustainability

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This study work is among the few attempts to understand the significance of AI and its implementation barriers in the healthcare systems in developing countries. Moreover, it examines the breadth of applications of AI in healthcare and medicine. AI is a promising solution for the healthcare industry, but due to a lack of research, the understanding and potential of this technology is unexplored. This study aims to determine the crucial AI implementation barriers in public healthcare from the viewpoint of the society, the economy, and the infrastructure. The study used MCDM techniques to structure the multiple-level analysis of the AI implementation. The research outcomes contribute to the understanding of the various implementation barriers and provide insights for the decision makers for their future actions. The results show that there are a few critical implementation barriers at the tactical, operational, and strategic levels. The findings contribute to the understanding of the various implementation issues related to the governance, scalability, and privacy of AI and provide insights for decision makers for their future actions. These AI implementation barriers are encountered due to the wider range of system-oriented, legal, technical, and operational implementations and the scale of the usage of AI for public healthcare.

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Section: Methodsmentioning

confidence: 99%

Modeling Conceptual Framework for Implementing Barriers of AI in Public Healthcare for Improving Operational Excellence: Experiences from Developing Countries

Joshi

Sharma

Das³

et al. 2022

Sustainability

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“…In a multi-variable decision making fuzzy and complex supply chain management problem, fuzzy-DEMATEL can be used as an effective tool [10,51,69,85]. Broadly, the mathematical process can be explained as follows:…”

Section: Fuzzy Dematelmentioning

confidence: 99%

“…These organizations, henceforth called humanitarian organizations (HOs), are required to be agile and adaptive to manage the emergency [7,8]. The role of digital technologies, including blockchain, in humanitarian activities is highly significant during a time of emergency [9,10]. BT are useful in the designing and development of the digital humanitarian network.…”

Section: Introductionmentioning

confidence: 99%

Assessing Effectiveness of Humanitarian Activities against COVID-19 Disruption: The Role of Blockchain-Enabled Digital Humanitarian Network (BT-DHN)

et al. 2022

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The COVID-19 pandemic has affected more than 214 countries across the world, disrupting the supply of essential commodities. As the pandemic has spread, humanitarian activities (HAs) have attempted to manage the various situation but appear ineffective due to lack of collaboration and information sharing, inability to respond towards disruption, etc. This study aims to determine and provide insights into the critical factors that may enhance the effectiveness of HAs during the pandemic. A systematic literature review was undertaken to explore critical factors and validated by experts using the fuzzy–Delphi method. These were further assessed to identify the cause-and-effect relationship by means of the fuzzy decision-making trial and laboratory (DEMATEL) method. The results show that building a blockchain-enabled digital humanitarian network (BT-DHN) is the most significant factor during the pandemic. The use of digital platforms for sharing real-time information enhances the effectiveness of HAs. This study offers stakeholders, policymakers, and decision-makers the opportunity to consider these factors in strategic planning to deal with pandemic disruption.

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“…Based on information sharing as a strong parameter, past studies exhibit that the structure of the firms also influence by the level and degree of collaboration it has with its suppliers (Prakash et al, 2020;Chou et al, 2014;Prasad et al, 2015). Centralisation is essential for integration at the organisation level and decentralisation is required for flexibility.…”

Section: Determinants Of Retailer-supplier Relationshipmentioning

confidence: 99%

Prolonging retailer-supplier relationship: a study of retail firms during COVID-19 pandemic

Joshi

Sharma

2022

IJLEG

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The world is beholding new drifts in retail buying, health services, social factors during the current pandemic. Retailers and suppliers are challenged to take the risk and prepare themselves to implement strategic actions according to the dynamic environment. This study has made an effort to identify the key determinants of the retailer-supplier relationship to be focused on surviving amidst COVID-19 pandemic. This study aims to identify the key determinants of retailer-supplier relationship and assessing retail firms' supply chains appropriate as per key determinant to be intensive in a pandemic situation. The work reveals collaboration efficiency and co-creation are the prominent determinants for dealing the retailer-supplier association. The study shows that order fulfilment is the most suitable RSCs for creating co-creation and capabilities in managing humanitarian logistics to survive in the COVID-19 pandemics.

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Takagi-Sugeno-Kang type collaborative fuzzy rule based system

Cited by 13 publications

References 22 publications

Modeling Conceptual Framework for Implementing Barriers of AI in Public Healthcare for Improving Operational Excellence: Experiences from Developing Countries

Modeling Conceptual Framework for Implementing Barriers of AI in Public Healthcare for Improving Operational Excellence: Experiences from Developing Countries

Assessing Effectiveness of Humanitarian Activities against COVID-19 Disruption: The Role of Blockchain-Enabled Digital Humanitarian Network (BT-DHN)

Prolonging retailer-supplier relationship: a study of retail firms during COVID-19 pandemic

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