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Introduction

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 tex2html_wrap_inline3073 data models and uncertain information.



Meltem TURHAN
Wed Oct 30 10:42:28 EET 1996