Possibilistic semantics and measurement methods in complex systems

Author

Joslyn, Cliff

Author_Institution

Dept. of Syst. Sci., State Univ. of New York, Binghamton, NY, USA

fYear

1993

fDate

25-28 Apr 1993

Firstpage

208

Lastpage

215

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on

Conference_Location

College Park, MD

Print_ISBN

0-8186-3850-8

Type

conf

DOI

10.1109/ISUMA.1993.366766

Filename

366766