Most of the existing knowledge applications such as Office Automation Systems,
Decision Support Systems, Expert Database Systems, etc. often
requires not only complex information but also some fuzzy and other kinds
of uncertain properties. In real life information is
found to be imprecise and fuzzy as well as complex in nature. Also in
natural languages, numerious quantifiers (eg. many, some, almost, etc.)
are used when conveying vague information. Because of this wide spectrum
of need for handling complex and fuzzy information this study introduces
a prototype of the representation and implementation of fuzzy complex
objects including some other uncertain information.
An important feature of this logic-based system is that the computational power
of logic programming is utilized in the represention and manipulation of
both the complex structure of extended data models and uncertain
information.