
The theory of Formal Concept Analysis (FCA) was introduced by Wille [1] for representation tasks and knowledge discovery. FCA analyze data comprising of objects, attributes and a relation between them. Then investigate formal concepts and connect them with a line diagram called concept lattice which plays a vital role in representation tasks. FCA has been used in many projects till now. Burusco and Gonzalez [2] applied fuzzy set theory to handle uncertainty and vagueness in linguistic variables.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
