Decision-making under uncertainty through extending influence diagrams with interval-valued parameters

Author:

Zhou Lihua1,Lü Kevin2ORCID,Liu Weiyi1,Ren Changchun1

Affiliation:

1. Department of Computer Science; Yunnan University; Kunming China

2. Business School, Brunel University; Uxbridge UB8 3PH UK

Funder

Program for Innovative Research Team in Yunnan University

Program for Innovation Research Team (in Science and Technology) in University of Yunnan Province (IRTSTYN)

Project of Innovative Research Team of Yunnan Province

Natural Science Foundation of Yunnan Province

National Natural Science Foundation of China

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Reference33 articles.

1. Recommender system in collaborative learning environment using an influence diagram;Antonio;Expert Systems with Applications,2013

2. Ben Amor , N. Benferhat , S. Mellouli , K. 2001 Some issues on the coherence of min-based possibilistic causal networks Proceedings of the 20th Conference of the North American Fuzzy Information Processing Society (NAFIPS2001) 604 609 Vancouver, BC, Canada Institute of Electrical and Electronics Engineers Inc

3. Anytime propagation algorithm for min-based possibilistic graphs;Ben Amor;Soft Computing,2003

4. Evaluating interval-valued influence diagrams;Cabañas;Internal Journal of Approximate Reasoning,2016

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