Probable equivalence, superpower sets, and superconditionals
Article first published online: 20 OCT 2004
DOI: 10.1002/int.20043
Copyright © 2004 Wiley Periodicals, Inc.
Issue
1098-111X/asset/cover.gif?v=1&s=7f7c12f2c86265974044b2b3f9936860ffc468a0)
International Journal of Intelligent Systems
Volume 19, Issue 12, pages 1151–1171, December 2004
Additional Information
How to Cite
Kosko, B. (2004), Probable equivalence, superpower sets, and superconditionals. International Journal of Intelligent Systems, 19: 1151–1171. doi: 10.1002/int.20043
Publication History
- Issue published online: 20 OCT 2004
- Article first published online: 20 OCT 2004
- Abstract
- References
- Cited By
Abstract
A natural measure of probabilistic equality between sets leads to two measures of probabilistic conditioning that form the endpoints of a conditioning interval. The interval's lower bound is the standard conditional probability or “subconditional” that describes the probability of a subset relation. The upper bound is a new “superconditional” that describes the probability of the corresponding superset relation. These dual conditioning operators correspond to dual set collections and enjoy optimality relations with respect to these set collections. Fuzzy cubes illustrate these set-collection relations in the two-dimensional case. The subconditional operator corresponds to the usual “power set” of a given set. The dual superconditional operator corresponds to what we call the “superpower set” or the set of all supersets of the given set. The two dual conditioning operators can eliminate each other through simple equalities. They obey dual Bayes theorems but differ in how they respond to statistical independence. © 2004 Wiley Periodicals, Inc. Int J Int Syst 19: 1151–1171, 2004.

1098-111X/asset/INT_left.gif?v=1&s=c0d44ac5ce99265330169e2ac3d22da4ab6b1a5d)
1098-111X/asset/INT_centre.gif?v=1&s=e94826a6788e7bb0695867b68ca2c030d8c7a252)
1098-111X/asset/INT_right.gif?v=1&s=d4616ff123f9b0a0199cc9f89f77f112e4ce3a70)