Modeling evidential databases as possible worlds

Author:

Bousnina Fatma Ezzahra1,Bach Tobji Mohamed Anis12,Chebbah Mouna12,Ben Yaghlane Boutheina13

Affiliation:

1. Université de Tunis; ISG, LARODEC; Tunisia

2. Univ. Manouba; ESEN; Tunisia

3. Université de Carthage; IHEC; Tunisia

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Reference39 articles.

1. Forecasting using belief functions: an application to marketing econometrics;Denoeux;Int J Approx Reason,2014

2. Dealing with uncertainty and imprecision in image segmentation using belief function theory;Lelandais;Int J Approx Reason,2014

3. Théorie analytique des probabilités;Laplace;Courcier,1812

4. Fuzzy sets as a basis for a theory of possibility;Zadeh;Fuzzy Set Syst,1978

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. WPEviRC: A Multi-rules-based Classifier for Evidential Databases Without Class Label Ambiguities;International Journal on Artificial Intelligence Tools;2022-11

2. Associative Classifier for Evidential Data;2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI);2020-11

3. Rule-Based Classification for Evidential Data;Lecture Notes in Computer Science;2020

4. On indexing evidential data;International Journal of Approximate Reasoning;2019-03

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