| Author | Jia, Hui |
| Call Number | AIT Thesis no. CS-92-7 |
| Subject(s) | Fussy sets
|
| Note | A thesis submitted in partial fulfillment of the requirements for
the degree of Master of Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | This study focuses on developing a fuzzy conceptual graph
inference engine both on theory and implementation. In this
process, theoretic support is given by defining the data
structures for fuzzy conceptual graphs, developing inference
mechanism and inference control strategies. Many operations such
as join of fuzzy concepts, fuzzy conceptual relations, join of
fuzzy conceptual graphs, maximal join and projection are provided
which form the foundation of the inference engine. The engine is
implemented using Turbo C++.
This study shows that fuzzy conceptual graph is a powerful
scheme for knowledge representation and processing. It is a
natural way to represent knowledge. Inheritance inference is easy
to incorporate in it. Proving procedure is shorter on fuzzy
conceptual graphs . Comparison between Prolog and fuzzy conceptual
graph inference engine is given. |
| Year | 1992 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Vilas Wuwongse; |
| Examination Committee(s) | Huynh Ngoc Phien ;Hosomura, Tsukasa |
| Scholarship Donor(s) | State Education Commission PRC. ; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1992 |