Title :
Qualitative belief conditioning rules (QBCR)
Author :
Smarandache, Florentin ; Dezert, Jean
Author_Institution :
Univ. of New Mexico, Gallup
Abstract :
In this paper we extend the new family of (quantitative) belief conditioning rules (BCR) recently developed in the Dezert-Smarandache theory (DSmT) to their qualitative counterpart for belief revision. Since the revision of quantitative as well as qualitative belief assignment given the occurrence of a new event (the conditioning constraint) can be done in many possible ways, we present here only what we consider as the most appealing qualitative belief conditioning rules (QBCR) which allow to revise the belief directly with words and linguistic labels and thus avoids the introduction of ad-hoc translations of quantitative beliefs into quantitative ones for solving the problem.
Keywords :
belief maintenance; computational linguistics; Dezert-Smarandache theory; ad-hoc translations; belief revision; conditioning constraint; linguistic labels; qualitative belief assignment; qualitative belief conditioning rules; Arithmetic; Expert systems; Humans; Hybrid power systems; Lattices; Mathematics; Natural languages; Robustness; Uncertainty; Dezert-Smarandache Theory (DSmT); belief conditioning rules (BCRs); computing with words; qualitative belief; reasoning under uncertainty;
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Conference_Location :
Quebec, Que.
Print_ISBN :
978-0-662-45804-3
Electronic_ISBN :
978-0-662-45804-3
DOI :
10.1109/ICIF.2007.4407995