Hk. Yuen et Tj. Richards, KNOWLEDGE REPRESENTATION FOR GROUNDED THEORY CONSTRUCTION IN QUALITATIVE DATA-ANALYSIS, The Journal of mathematical sociology, 19(4), 1994, pp. 279-298
Citations number
51
Categorie Soggetti
Sociology,"Social Sciences, Mathematical Methods","Mathematical, Methods, Social Sciences
The major achievement of most current qualitative data analysis softwa
re systems in social sciences has been the efficient code-and-retrieve
abilities. Although such abilities greatly strengthen and assist the
handling of qualitative data, they do not address the crucial tasks of
theory construction as traditionally understood in qualitative resear
ch. Application of knowledge-based systems has been recognised as an i
mportant approach to theory construction in qualitative data analysis.
This approach heavily depends on a suitable way of knowledge represen
tation. This paper describes a knowledge representation method for rep
resenting grounded theory construction, in which a hybrid approach of
fuzzy set theory and semantic networks is applied.