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Knowledge representation using fuzzy conceptual graphs | |
Author | Manzano, Mario Bucaneg |
Call Number | AIT Thesis no. CS-91-11 |
Subject(s) | Fuzzy sets |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Engineering and Technology |
Publisher | Asian Institute of Technology |
Abstract | Conceptual graph (CG), a linguistically based semantic representation is a knowledge representation scheme used in expert systems and databases. This study attempts to fuzzify the CG model in order to represent imprecise knowledge. Fuzziness are introduced to both components: concepts and conceptual relations of the CG. Operations are defined on fuzzy concepts, on fuzzy conceptual relations and fuzzy conceptual graphs. The fuzzy ∅ operator maps the fuzzy CG into the fuzzy first-order logic. Some derived rules of inferences which are equivalent to the basic inference rules of fuzzy logic are given. A fuzzy closed and open world models are developed exhibiting not only the fuzziness in the CG but in the concepts and conceptual relations as well. |
Year | 1991 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
Department | Other Field of Studies (No Department) |
Academic Program/FoS | Computer Science (CS) |
Chairperson(s) | Vilas Wuwongse |
Examination Committee(s) | Huynh Ngoc Phien ;Phan Minh Dung |
Scholarship Donor(s) | DAAD - German Academic Exchange Program |
Degree | Thesis (M.Sc.) - Asian Institute of Technology, 1991 |