A combined weighting method based on hybrid of interval evidence fusion and random sampling

DOI10.1155/2017/8751683zbMath1369.68338OpenAlexW2601353843WikidataQ59143313 ScholiaQ59143313MaRDI QIDQ2398801

Ying Yan, Bin Suo

Publication date: 21 August 2017

Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/8751683

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Cites Work

• On the combination and normalization of interval-valued belief structures
• Rough sets and Boolean reasoning
• Modeling vague beliefs using fuzzy-valued belief structures.
• Reasoning with imprecise belief structures
• Multiple attribute decision making based on fuzzy preference information on alternatives: ranking and weighting
• The evidential reasoning approach for multiple attribute decision analysis using interval belief degrees
• Synthesis of fuzzy logic and Dempster-Shafer theory for the simulation of the decision-making process in stock trading systems

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