Using Possibility Theory in Expert Systems

View/ Open
Issue Date
1992-12-10Author
Shenoy, Prakash P.
Publisher
Elsevier Science Publishers B. V.
Format
161971 bytes
Type
Article
Metadata
Show full item recordAbstract
This paper has two main objectives. The first objective is to give a characterization of a qualitative description of a possibility function. A qualitative description of a possibility function is called a consistent possibilistic state. The qualitative description and its characterization serve as qualitative semantics for possibility functions. These semantics are useful in representing knowledge as possibility functions. The second objective is to describe how Zadeh’s theory of possibility fits in the frame-work of valuation-based systems (VBS). Since VBS serve as a framework for managing uncertainty and imprecision in expert systems, this facilitates the use of possibility theory in expert systems.
ISSN
0165-0114Collections
Citation
Shenoy, P. P., "Using Possibility Theory in Expert Systems," Fuzzy Sets and Systems, Vol. 52, Issue 2, 10 Dec. 1992, pp. 129--142
Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
We want to hear from you! Please share your stories about how Open Access to this item benefits YOU.