The relationship between the maximum entropy and minimax ratio RIM quantifier problems

DOI10.1016/j.fss.2012.01.014zbMath1270.68315OpenAlexW1988396822MaRDI QIDQ695245

Dug Hun Hong

Publication date: 20 December 2012

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2012.01.014

zbMATH Keywords

generating functionmaximum entropyRIM quantifierknowledge aggregationminimax ratio

Mathematics Subject Classification ID

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

Related Items

A note on the solution equivalence to general models for RIM quantifier problems ⋮ The solution equivalence to general models for the RIM quantifier problem ⋮ The extended minimax disparity RIM quantifier problem

Cites Work

• Unnamed Item
• The relationship between the minimum-variance and minimax disparity RIM quantifier problems
• On proving the extended minimax disparity OWA problem
• On the equivalence of some approaches to the OWA operator and RIM quantifier determination
• Variational methods in statistics
• Families of OWA operators
• An analytic approach for obtaining maximal entropy OWA operator weights
• On obtaining minimal variability OWA operator weights.
• Improving minimax disparity model to determine the OWA operator weights
• On the maximum entropy parameterized interval approximation of fuzzy numbers
• A minimax disparity approach for obtaining OWA operator weights
• A NOTE ON THE MINIMAL VARIABILITY OWA OPERATOR WEIGHTS
• On the properties of regular increasing monotone (RIM) quantifiers with maximum entropy††
• On ordered weighted averaging aggregation operators in multicriteria decisionmaking