ON THE RELATIONSHIP OF METHODS OF AGGREGATING EVIDENCE IN EXPERT SYSTEMS

DOI10.1080/01969728508927754zbMath0583.68049OpenAlexW1990394280MaRDI QIDQ3706520

Ronald R. Yager

Publication date: 1985

Published in: Cybernetics and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01969728508927754

zbMATH Keywords

fuzzy setsdata basebeliefplausibilitylinguistically quantified statement

Mathematics Subject Classification ID

Artificial intelligence (68T99)

Related Items

A new combination of evidence based on compromise, A ranking model in uncertain, imprecise and multi-experts contexts: the application of evidence theory, A correspondence between belief function combination and knowledge base merging, SOME PROPERTIES OF MODIFIED DEMPSTER-SHAFER OPERATORS IN RULE BASED INFERENCE SYSTEMS, Data fusion: a study of adaptative combinations with incomplete certainty qualification, Data fusion: a study of adaptative combinations with incomplete certainty qualification, AN INTRODUCTION TO DSmT FOR INFORMATION FUSION, On the normalization of subnormal possibility distributions: New investigations

Cites Work

• Unnamed Item
• Probabilities from fuzzy observations
• Quantifiers in the formulation of multiple objective decision functions
• A computational approach to fuzzy quantifiers in natural languages
• Fuzzy logic and approximate reasoning
• Quantified propositions in a linguistic logic
• Upper and Lower Probabilities Induced by a Multivalued Mapping