Object-oriented modelling with words

Author

Rossiter, J.M. ; Cao, T.H. ; Martin, T.P. ; Baldwin, J.F.

Author_Institution

Dept. of Eng. Math., Bristol Univ., UK

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

59

Lastpage

62

Abstract

Object-oriented modelling with words seeks to extend the new field of modelling with words, itself derived from computing with words, with features of object-oriented knowledge representation and programming. We show that object-oriented modelling with words has two key benefits: 1) the uncertain class hierarchy provides a natural knowledge representation framework for real-world problems; and 2) the object-oriented paradigm enforces a strict software engineering design and implementation process. In this paper we present a new approach to object-oriented modelling with words based on a new theory of inheritance where object memberships and property applicabilities are uncertain. We present the uncertain object-oriented logic programming language Fril++ as a tool for object-oriented modelling with words. We present an example application of object-oriented modelling with words: an extendible object-oriented data browser and machine learning environment

Keywords

inheritance; knowledge representation; learning (artificial intelligence); object-oriented programming; Fril++; computing with words; inheritance; knowledge representation; machine learning; modelling with words; object-oriented modelling; object-oriented programming; software engineering; Humans; Knowledge engineering; Logic; Machine learning; Mathematical model; Mathematical programming; Mathematics; Object oriented modeling; Organisms; Vocabulary;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2001. The 10th IEEE International Conference on

Conference_Location

Melbourne, Vic.

Print_ISBN

0-7803-7293-X

Type

conf

DOI

10.1109/FUZZ.2001.1007245

Filename

1007245