Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
Conditional Probability Relations in Fuzzy Relational Database
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
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Probability and fuzziness are different measures for dealing with different uncertainties in which they be able tob e combined and considered as a complementary tool. In this paper, the relationship between probability and fuzziness are discussed based on the process of perception. In probability, set theory is used to provide a language for modeling and describing random experiments. Here, as a generalization of crisp set, fuzzy set is used to model fuzzy event as defined by Zadeh. Similarly, rough set can be also used to represent rough event in terms of probability measure. Special attention will be given to conditional probability of fuzzy event as well as conditional probability of rough event. Their several combinations of formulation and properties are defined.