On the use of fuzzy inference techniques in assessment models. I: Theoretical properties

DOI10.1007/s10700-008-9036-zzbMath1205.90315OpenAlexW2003622848WikidataQ58219334 ScholiaQ58219334MaRDI QIDQ1028720

Chee Peng Lim, Kai Meng Tay

Publication date: 6 July 2009

Published in: Fuzzy Optimization and Decision Making (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10700-008-9036-z

zbMATH Keywords

assessment modelfuzzy inference techniquesmonotone output propertyoutput resolution propertyrule refinement

Mathematics Subject Classification ID

Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Statistical methods; economic indices and measures (91B82)

Related Items (1)

ON MONOTONIC SUFFICIENT CONDITIONS OF FUZZY INFERENCE SYSTEMS AND THEIR APPLICATIONS

Cites Work

• Soft computing for complex multiple criteria decision making
• Decisions and evaluations by hierarchical aggregation of information
• Guaranteed accurate fuzzy controllers for monotone functions
• Parameter conditions for monotonic Takagi-Sugeno-Kang fuzzy system
• Multiple criteria decision analysis. State of the art surveys
• Risk Analysis in Engineering and Economics
• Interpolation and extrapolation of fuzzy quantities revisited -- an axiomatic approach

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