dc.contributor.author | Mardani, Abbas | |
dc.contributor.author | Nilashi, Mehrbakhsh | |
dc.contributor.author | Antuchevičienė, Jurgita | |
dc.contributor.author | Tavana, Madjit | |
dc.contributor.author | Baušys, Romualdas | |
dc.contributor.author | Ibrahim, Othman | |
dc.date.accessioned | 2023-09-18T17:01:13Z | |
dc.date.available | 2023-09-18T17:01:13Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 1076-2787 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/119000 | |
dc.description.abstract | Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artificial intelligence, especially in numerous fields such as expert systems, knowledge discovery, information system, inductive reasoning, intelligent systems, data mining, pattern recognition, decision-making, and machine learning. Rough sets models, which have been recently proposed, are developed applying the different fuzzy generalisations. Currently, there is not a systematic literature review and classification of these new generalisations about rough set models.Therefore, in this review study, the attempt is made to provide a comprehensive systematic review of methodologies and applications of recent generalisations discussed in the area of fuzzy-rough set theory. On this subject, the Web of Science database has been chosen to select the relevant papers. Accordingly, the systematic and metaanalysis approach, which is called “PRISMA,” has been proposed and the selected articles were classified based on the author and year of publication, author nationalities, application field, type of study, study category, study contribution, and journal in which the articles have appeared. Based on the results of this review, we found that there are many challenging issues related to the different application area of fuzzy-rough set theory which can motivate future research studies. | eng |
dc.format | PDF | |
dc.format.extent | p. 1-33 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.relation.isreferencedby | Computer Science Index | |
dc.relation.isreferencedby | CIS (Current Index to Statistics) | |
dc.relation.isreferencedby | DOAJ | |
dc.relation.isreferencedby | Elsevier BIOBASE/Current Awareness in Biological Sciences | |
dc.relation.isreferencedby | INSPEC | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | Zentralblatt MATH (zbMATH) | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://www.hindawi.com/journals/complexity/2017/1608147/ | |
dc.source.uri | https://doi.org/10.1155/2017/1608147 | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:24526060/datastreams/MAIN/content | |
dc.subject | FM03 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai ir metodai / Mathematical models and methods of physical, technological and economic processes | |
dc.title | Recent fuzzy generalisations of rough sets theory: a systematic review and methodological critique of the literature | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.accessRights | This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | |
dcterms.references | 324 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Universiti Teknologi Malaysia | |
dc.contributor.institution | Universiti Teknologi Malaysia Islamic Azad University | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | La Salle University University of Paderborn | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | rough sets theory | |
dc.subject.en | fuzzy sets theory | |
dc.subject.en | fuzzy-rough sets theory | |
dcterms.sourcetitle | Complexity | |
dc.description.volume | vol. 2017 | |
dc.publisher.name | Wiley | |
dc.publisher.city | London | |
dc.identifier.doi | 000414084400001 | |
dc.identifier.doi | 10.1155/2017/1608147 | |
dc.identifier.elaba | 24526060 | |