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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/11483

Title: An extension of context model for representing vague knowledge
Authors: Huynh, Van-Nam
Miyamoto, Sadaaki
Nakamori, Yoshiteru
Keywords: Context model
Dempster-Shafer theory
fuzzy context model
vague knowledge
uncertainty measure of type 2
Issue Date: 2012-11-19
Publisher: Inderscience
Magazine name: International Journal of Reasoning-based Intelligent Systems
Volume: 4
Number: 3
Start page: 171
End page: 179
DOI: 10.1504/IJRIS.2012.050375
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.
Rights: Copyright (C) 2012 Inderscience. Van-Nam Huynh, Sadaaki Miyamoto, Yoshiteru Nakamori, International Journal of Reasoning-based Intelligent Systems, 4(3), 2012, 171-179. http://dx.doi.org/10.1504/IJRIS.2012.050375
URI: http://hdl.handle.net/10119/11483
Material Type: author
Appears in Collections:a10-1. 雑誌掲載論文 (Journal Articles)

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