POSSIBILITY THEORY II: CONDITIONAL POSSIBILITY
- 1 January 1997
- journal article
- research article
- Published by Taylor & Francis in International Journal of General Systems
- Vol. 25 (4) , 325-351
- https://doi.org/10.1080/03081079708945161
Abstract
It is shown that the nolion of conditional possibility can be consistently iniroduced in possibility theory, in very much the same way as conditional expectations and probabilities are defined in the measure- and integral-theoretic treatment of probability theory. I write down possibilistic integral equations which are formal counterparts of the integral equations used to define conditional expectations and probabilities, and use their solutions to define conditional possibilities. In all, three types of conditional possibilities, with special cases, are introduced and studied. I explain why, like conditional expectations, conditional possibilities are not uniquely defined, but can only be determined up to almost everywhere equality, and I assess the consequences of this nondeterminacy. I also show that this approach solves a number of consistency problems, extant in Ihe literature.Keywords
This publication has 7 references indexed in Scilit:
- The logical view of conditioning and its application to possibility and evidence theoriesInternational Journal of Approximate Reasoning, 1990
- CONDITIONAL POSSIBILITY MEASURESCybernetics and Systems, 1989
- FUZZY LOGICS AND THE GENERALIZED MODUS PONENS REVISITEDCybernetics and Systems, 1984
- On conditional possibility distributionsFuzzy Sets and Systems, 1978
- Conditional possibilities independence and noninteractionFuzzy Sets and Systems, 1978
- Fuzzy sets as a basis for a theory of possibilityFuzzy Sets and Systems, 1978
- A Mathematical Theory of EvidencePublished by Walter de Gruyter GmbH ,1976