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In particular, fuzzy descriptions are obtained for the main parameters that define the structure and model of the hydrocarbon formation.
Phase 3: Determine the best fuzzy descriptions ((zeta _{A_{i}})) of each decision alternative using AFS theory.
For these case studies, AFS theory is used to find the best fuzzy descriptions of decision alternatives and rankings are obtained using TOPSIS approach.
Perform pairwise comparisons (using 9-point scale) between each pair of decision alternatives according to benefit and cost criterion in their best fuzzy descriptions ((zeta _{a_{i}})).
(a) Perform pairwise comparisons (using 9-point scale) between each pair of decision alternatives according to benefit and cost criterion in their best fuzzy descriptions ((zeta _{a_{i}})).
The values of (r_{ij}) are obtained by performing pairwise comparisons (using 9-point scale of AHP) between each pair of decision alternatives according to benefit and cost criterion in their best fuzzy descriptions.
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Layden and Chaney, who each spoke only briefly with Sprewell on Monday, initially accepted his fuzzy description of the injury.
Fuzzy description logics (DLs) can be used to represent and reason with vague knowledge.
Phase 3: This phase determines the best fuzzy description of each alternative route ((zeta _{A_{i}})) using axiomatic fuzzy logic.
Firstly, for the specific purposes of representing and reasoning on fuzzy UML models, a fuzzy description logic called FDLR (fuzzy DLR) is introduced.
Fuzzy Description Logics (DLs) are a family of knowledge representation formalisms designed to represent and reason about vague and imprecise knowledge that is inherent to many application domains.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com