Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature
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-mak...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2017/1608147 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832562583451729920 |
|---|---|
| author | Abbas Mardani Mehrbakhsh Nilashi Jurgita Antucheviciene Madjid Tavana Romualdas Bausys Othman Ibrahim |
| author_facet | Abbas Mardani Mehrbakhsh Nilashi Jurgita Antucheviciene Madjid Tavana Romualdas Bausys Othman Ibrahim |
| author_sort | Abbas Mardani |
| collection | DOAJ |
| description | 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 meta-analysis 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. |
| format | Article |
| id | doaj-art-1636f6a0d0794fa69285f7ad860c4f73 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-1636f6a0d0794fa69285f7ad860c4f732025-02-03T01:22:11ZengWileyComplexity1076-27871099-05262017-01-01201710.1155/2017/16081471608147Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the LiteratureAbbas Mardani0Mehrbakhsh Nilashi1Jurgita Antucheviciene2Madjid Tavana3Romualdas Bausys4Othman Ibrahim5Faculty of Management, Universiti Teknologi Malaysia (UTM), 81310 Skudai, Johor, MalaysiaFaculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, MalaysiaDepartment of Construction Management and Real Estate, Vilnius Gediminas Technical University, Sauletekio Al. 11, LT-10223 Vilnius, LithuaniaBusiness Systems and Analytics Department, La Salle University, Philadelphia, PA 19141, USADepartment of Graphical Systems, Vilnius Gediminas Technical University, Saulėtekio Ave. 11, LT-10223 Vilnius, LithuaniaFaculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, MalaysiaRough 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 meta-analysis 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.http://dx.doi.org/10.1155/2017/1608147 |
| spellingShingle | Abbas Mardani Mehrbakhsh Nilashi Jurgita Antucheviciene Madjid Tavana Romualdas Bausys Othman Ibrahim Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature Complexity |
| title | Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature |
| title_full | Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature |
| title_fullStr | Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature |
| title_full_unstemmed | Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature |
| title_short | Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature |
| title_sort | recent fuzzy generalisations of rough sets theory a systematic review and methodological critique of the literature |
| url | http://dx.doi.org/10.1155/2017/1608147 |
| work_keys_str_mv | AT abbasmardani recentfuzzygeneralisationsofroughsetstheoryasystematicreviewandmethodologicalcritiqueoftheliterature AT mehrbakhshnilashi recentfuzzygeneralisationsofroughsetstheoryasystematicreviewandmethodologicalcritiqueoftheliterature AT jurgitaantucheviciene recentfuzzygeneralisationsofroughsetstheoryasystematicreviewandmethodologicalcritiqueoftheliterature AT madjidtavana recentfuzzygeneralisationsofroughsetstheoryasystematicreviewandmethodologicalcritiqueoftheliterature AT romualdasbausys recentfuzzygeneralisationsofroughsetstheoryasystematicreviewandmethodologicalcritiqueoftheliterature AT othmanibrahim recentfuzzygeneralisationsofroughsetstheoryasystematicreviewandmethodologicalcritiqueoftheliterature |