Title :
Possibilistic semantics and measurement methods in complex systems
Author_Institution :
Dept. of Syst. Sci., State Univ. of New York, Binghamton, NY, USA
Abstract :
Possibility theory is a new mathematical theory for the representation of uncertainty. Toward the end of developing a strictly possibilistic semantics of natural systems, the following aspects are considered: the semantics of possibility statements in relation to modal logic, natural language, and mathematical possibility theory; a strong consistency relation for probability and possibility; the basis for the application of possibility theory to complex systems; and physical measurement procedures for possibility
Keywords :
formal logic; large-scale systems; measurement theory; natural languages; possibility theory; probability; semantic networks; uncertain systems; uncertainty handling; complex systems; measurement methods; modal logic; natural language; natural systems; physical measurement procedures; possibilistic semantics; possibility statements; possibility theory; probability; strong consistency relation; uncertainty representation; Fuzzy set theory; Fuzzy sets; Information theory; Knowledge engineering; Logic; Loss measurement; NASA; Natural languages; Possibility theory; Springs;
Conference_Titel :
Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-3850-8
DOI :
10.1109/ISUMA.1993.366766
