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New Applications in Multiple Criteria Decision Analysis II

Special Issue Information

Dear Colleagues,

Multi-criteria decision analysis (MCDA) techniques have been used successfully in many real-world problems, including in the fields of logistics, finance, environment, diagnostics, technology selection, etc. However, due to the revolution driven by Industry 4.0, with new breakthroughs in data integration, devices, knowledge techniques, innovation, and management and technology, which underlines growing digitalization and cooperative coordination between productive units in the economy, there are new concepts which do not utilize MCDA, and which can be greatly advanced by including these techniques in decision processes. A similar revolution is happening in education, which is increasingly heading towards e-learning and web-based learning, as well as the management of industrial assets. 

All MCDA techniques are welcome, especially combined techniques, the inclusion of fuzzy sets, or group decision making. The application of minority techniques, or ones that improve upon those traditionally used, is also encouraged. 

The scope of this Special Issue covers applications in MCDA in new fields, subjects, or recent advances related to Industry 4.0, IoT, Big Data, e-education, etc., including subjects which have recently undergone substantial change and where MCDA techniques have not yet been included in the decision processes.

Dr. Maria Carmen Carnero
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • applications in health care organizations
  • applications in service industries
  • applications in industry 4.0
  • applications in circular economy
  • applications in new methodologies or technologies in education, e-learning and web-based learning
  • applications in asset management
  • applications in internet of things (IoT) and cloud
  • applications in iot data access and integration
  • applications in data security, privacy and general data protection regulation (GDPR)
  • applications in benchmarking
  • applications in artificial intelligence and machine learning
  • applications in big data
  • applications in security and health and safety at work
  • applications in ethical and moral conflicts related to industry 4.0
  • applications in defense and military
  • application in social engineering
  • applications in corporate social responsibilities
  • applications in risk and uncertainty management
  • applications in software and apps

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Information - ISSN 2078-2489Creative Common CC BY license