Title :
Logical approaches to uncertainty and vagueness in the view of the context model
Author :
Klawonn, F. ; Gebhard, J. ; Kruse, R.
Author_Institution :
Dept. of Comput. Sci., Tech. Braunschweig Univ., Germany
Abstract :
The context model provides a framework for clear semantics of concepts for handling uncertainty and vagueness. The authors analyze non-truth-functional logics with capabilities for the representation of uncertainty and vagueness in the view of the context model. It becomes apparent that among other approaches probabilistic and possibilistic logic can be considered as logics with additional restrictions in the general environment of the context model. Due to the semantic background of the context model it is possible to clarify and interpret the meaning of concepts like revision and expansion, and to describe the general assumptions used in various approaches
Keywords :
fuzzy logic; inference mechanisms; probabilistic logic; context model; expansion; fuzzy logic; inference; nontruth functional logics; possibilistic logic; probabilistic logic; revision; uncertainty; vagueness; Calculus; Computer science; Context modeling; Extraterrestrial measurements; Fuzzy logic; Knowledge based systems; Possibility theory; Probabilistic logic; Uncertainty;
Conference_Titel :
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0236-2
DOI :
10.1109/FUZZY.1992.258697