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Shiyuan Zhu, Yuwei Zhao and Shihong Yue
Given a set of data objects, the fuzzy c-means (FCM) partitional clustering algorithm is favored due to easy implementation, rapid response, and feasible optimization. However, FCM fails to reflect either the importance degree of the individual data obje...
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Luana Conte, Emanuele Rizzo, Tiziana Grassi, Francesco Bagordo, Elisabetta De Matteis and Giorgio De Nunzio
Pedigree charts remain essential in oncological genetic counseling for identifying individuals with an increased risk of developing hereditary tumors. However, this valuable data source often remains confined to paper files, going unused. We propose a co...
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Bilgin Metin, Sefa Duran, Eda Telli, Meltem Mutlutürk and Martin Wynn
In today?s technology-centric business environment, where organizations encounter numerous cyber threats, effective IT risk management is crucial. An objective risk assessment?based on information relating to business requirements, human elements, and th...
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Juan Miguel Sánchez-Lozano, Eloy Peña-Asensio and Hector Socas-Navarro
This study presents the implementation of Multi-Criteria Decision-Making (MCDM) methodologies, particularly the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS), in prioritizing technosignatures (TSs) for the search for ex...
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Sergejus Lebedevas and Tomas Cepaitis
The decarbonization problem of maritime transport and new restrictions on CO2 emissions (MARPOL Annex VI Chapter 4, COM (2021)562) have prompted the development and practical implementation of new decarbonization solutions. One of them, along with the us...
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