Complexity / 2017 / Article / Tab 2 / Review Article
Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature Table 2 Distribution papers based on the information systems area.
Author and reference Application field Type of study Study category Study contribution Liu and Sai [48 ] Information systems Developed Fuzzy and rough sets Discussed invertible upper and lower approximation and provided the sufficient and necessary condition for lower and upper approximation fuzzy-rough and rough sets Zhang [49 ] Information systems Proposed Fuzzy-rough sets Proposed a new dominance intuitionistic fuzzy-rough set for using auditing risk judgment in information system security Ouyang et al. [50 ] Information systems Developed Fuzzy-rough sets Generalised the Radzikowska and Kerre approach based on fuzzy-rough sets which were called the -fuzzy-rough set Dai and Tian [51 ] Information systems Proposed Fuzzy-rough sets Developed the fuzzy construct and relation of the fuzzy-rough approach for set-valued information systems Zeng et al. [52 ] Information systems Developed Fuzzy-rough sets Developed a new Hybrid Distance (HD) in Hybrid Information Systems (HIS) based on the value difference metric, and a new fuzzy-rough approach was designed by integrating the Gaussian kernel and HD distance Shabir and Shaheen [53 ] Information system Proposed Fuzzy-rough sets Suggested a novel framework for fuzzification of rough sets when the objects are α -indiscernible, that is, indiscernible up to a certain degree Feng and Mi [39 ] Information systems Developed Fuzzy-rough sets Investigated the variable precision multigranulation fuzzy decision-theoretic rough sets in an information system Wu and Zhang [54 ] Random fuzzy information systems Proposed Fuzzy-rough sets Introduced new random fuzzy-rough set approaches based on fuzzy logic operators and random fuzzy sets Chen et al. [55 ] Fuzzy rule-based systems Proposed Fuzzy-rough sets Introduced a new approach to build a polygonal rough-fuzzy set and present a novel fuzzy interpolative reasoning approach for sparse fuzzy rule-based systems based on the ratio of fuzziness of the constructed polygonal rough-fuzzy sets Tsang et al. [56 ] Information systems Developed Fuzzy-rough sets Examined some properties of communication between information systems based on fuzzy-rough set models Han et al. [57 ] Decision information system Proposed Fuzzy-rough sets Introduced the new order relation about bipolar-valued fuzzy sets Aggarwal [58 ] Fuzzy probabilistic information system Developed Fuzzy-rough sets Developed probabilistic variable precision fuzzy-rough sets (P-VP-FRS)