approximate reasoning
Also found in: Acronyms.
approximate reasoning
[ə¦präks·ə·mət ′rēz·ən·iŋ] (mathematics)
The process by which a possibly imprecise conclusion is deduced from a collection of imprecise premises.
Also found in: Acronyms.
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References in periodicals archive
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We present here the two fields under consideration, discretized gauge theories and pairwise comparisons in approximate reasoning, in a way to highlight the correspondence.
Wajch, "Inconsistency indicator maps on groups for pairwise comparisons," International Journal of Approximate Reasoning, vol.
Liang, "Local multigranulation decision-theoretic rough sets," International Journal of Approximate Reasoning, vol.
Eyupoglu, "Approximate reasoning on a basis of Z-number valued If-Then rules," IEEE Transactions on Fuzzy Systems, vol.
Wang, "Topological structures of L-fuzzy rough sets and similarity sets of L-fuzzy relations," International Journal of Approximate Reasoning, vol.
In spite of their successes in various systems, researchers have pointed out certain drawbacks [4,5] in the mechanism, which motivates the introduction of Similarity-based Approximate Reasoning (SAR) mechanism as proposed in [4-7].
of Approximate Reasoning, vol.6, no.2, pp267-292, Feb 1992.
Benferhat, "A belief revision framework for revising epistemic states with partial epistemic states," International Journal of Approximate Reasoning, vol.
Shang, "On an optimization representation of decision-theoretic rough set model," International Journal of Approximate Reasoning, vol.
In general, fuzzy systems are suitable for uncertain or approximate reasoning, especially for the system with a mathematical model that is difficult to derive.
In a narrow sense, fuzzy logic is a logical system that aims at a formalization of approximate reasoning. As such, it is rooted in multivalued logic, but its agenda is quite different from that of traditional multivalued logical systems, e.g., Lukasiewicz's logic.
International Journal of Approximate Reasoning. Submit double-spaced paper on computational complexity of approximate reasoning to Dr.
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