LINGUISTIC CONTEXT SPACES: NECESSARY FRAMES FOR CORRECT APPROXIMATE REASONING

DOI10.1080/03081079608945135zbMath0868.03016OpenAlexW2064441597MaRDI QIDQ4337488

Boris Kovalerchuk

Publication date: 19 August 1997

Published in: International Journal of General Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03081079608945135

zbMATH Keywords

fuzzy setsmodal logicapproximate reasoningprobability theoryreasoning under uncertaintycontext spacelinguistic contextMF acquisitionsemantic operational procedures

Mathematics Subject Classification ID

Logic in artificial intelligence (68T27) Fuzzy sets and logic (in connection with information, communication, or circuits theory) (94D05) Other applications of logic (03B80)

Related Items (3)

Agent Uncertainty Model and Quantum Mechanics Representation: Non-locality Modeling ⋮ Probabilistic Solution of Zadeh’s Test Problems ⋮ Approximate reasoning based on linguistic truth value with \(\alpha\)-operator

Cites Work

• Some properties of many valued fuzzy sets
• Fuzzy random variables - I. Definitions and theorems
• On the analytic formalism of the theory of fuzzy sets
• Rough sets: probabilistic versus deterministic approach
• HIERARCHICAL UNCERTAINTY METATHEORY BASED UPON MODAL LOGIC

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