Fuzzy Decision Making and Internet of Things Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: closed (19 August 2023)

Special Issue Editors


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Guest Editor
Department of Computer Science and Information Systems, Shri Ramswaroop Memorial University, Barabanki-225003, UP, India
Interests: Fuzzy Decision Making; Soft Computing; Reliability Prediction; Software Reliability; Software Security.

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Guest Editor
Department of Computer Science, Dr. Shakuntala Misra National Rehabilitation University, Lucknow 226017, Uttar Pradesh, India
Interests: Soft Computing; Reliability Prediction; Artificial Neural Networks; Fuzzy Logics.

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Guest Editor
Department of Computer Applications, Shri Ramswaroop Memorial University, Barabanki-225003, Uttar Pradesh, India
Interests: Fuzzy decision making; soft computing; computational intelligence; security engineering.
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Special Issue Information

Dear Colleagues,

 

Smart grids, smart cities, intelligent transport networks, and other real-time Internet of Things (IoT) applications generate a vast amount of data from widely dispersed sources, necessitating high computing and communication demand that frequently exceeds the needs of the users. Additionally, a number of developing IoT applications, such as remote surgery, machine monitoring and control, fault detection, and healthcare, provide jobs that are time-sensitive and demand prompt processing with the least amount of delay. Fuzzy logic and fuzzy inference systems have recently been needed to analyse IoT applications and cyber-physical systems by tracking sensed data and real-time information. The appropriate application of the fuzzy logic and fuzzy inference systems poses several challenges, including data volume and quality, integration, and the accuracy of the inferences drawn from the collected data, despite the numerous benefits of integrating them with the various intelligent frameworks for various IoT applications. Additionally, under the supervision of a central cloud/fog/edge server, fuzzy logic and fuzzy inference system are chosen to locally train the local edge/fog devices and build a global model. Due to their inherent complexity and the close interaction of computing, communication, and control with physical systems, fuzzy systems have therefore proven to provide new problems to modelling and networking. In order to provide direction for future research endeavours, the goal of this special issue is to compile original research articles as well as review articles on the most current advancements and research activities in this subject.

Dr. Kavita Sahu
Dr. Srivastava R. K.
Dr. Rajeev Kumar
Guest Editors

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Keywords

  • • Soft computing • Fuzzy theory • Multi-criteria decision-making • Fuzzy decision theory and method • Decision-making • Pair-wise comparisons matrix • Group decision-making • Engineering and scientific applications • Internet of things applications.

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Published Papers

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