Hybrid methods to represent incomplete and uncertain information

Conference · Tue Dec 31 04:00:00 EST 1996

OSTI ID:466444

Joslyn, C ^[1]

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1. NASA Goddard Space Flight Center, Greenbelt, MD (United States)

Decision making is cast in the semiotic context of perception, decision, and action loops. Towards the goal of properly grounding hybrid representations of information and uncertainty from this semiotic perspective, we consider the roles of and relations among the mathematical components of General Information Theory (GIT), particularly among fuzzy sets, possibility theory, probability theory, and random sets. We do so by using a clear distinction between the syntactic, mathematical formalism and the semantic domains of application of each of these fields, placing the emphasis on available measurement and action methods appropriate for each formalism, to which and from which the decision-making process flows.

• OSTI ID: 466444
• Report Number(s): CONF-9610138--
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
ARTIFICIAL INTELLIGENCE
CONTROL SYSTEMS
DATA COVARIANCES
DECISION MAKING
FUZZY LOGIC
INFORMATION THEORY
PROBABILITY