The full text of this article

 

An extension of context model for representing vague knowledge
by Van-Nam Huynh; Sadaaki Miyamoto; Yoshiteru Nakamori
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 4, No. 3, 2012

 

Abstract: In this paper, a framework for representing vague knowledge based on the notion of context model introduced by Gebhardt and Kruse (1993) is discussed. From a concept analysis point of view, it has been shown that the context model can be semantically considered as a data model for fuzzy concept analysis (Huynh et al., 2004). From a decision analysis point of view, in order to deal with the problem of synthesis of vague evidence linguistically provided by experts in some situations of decision analysis, the notions of context-dependent vague characteristics and fuzzy context model will be introduced. It is shown that each context-dependent vague characteristic within fuzzy context model directly induces a uncertainty measure of type 2 interpreted as 'vague' belief function, which is inferred from vague evidence expressed linguistically.

Online publication date: Fri, 16-Nov-2012

 

is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

 
Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

 
Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Reasoning-based Intelligent Systems (IJRIS):
Login with your Inderscience username and password:

 

    Username:        Password:         

Forgotten your password?


 
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

 
If you still need assistance, please email subs@inderscience.com