Object-oriented modelling with words

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.