The new habitat maps, developed in the current study, will act as a base for updating the national monitoring system and could help in logic interpretation of species assemblages for fauna and flora types in Egypt.
Fuzzy logic interpretation of the outcomes, a robust approach for uncertain and imprecise data incorporating expert decisions, was applied to complement the statistical analysis with expert judgement on the method performance (via synthetic indicators) for different calibrators and GMO concentrations.
Although it can behave as either a NAND or a NOR gate, for clarity we describe here only the NOR logic interpretation of the circuit, and present the multi-functional behaviour in the Results and discussion section.
Refinement by interpretation replaces signature morphisms by logic interpretations as a means to translate specifications and witness refinements.
On the basis of statistical analysis and fuzzy-logic interpretation, the commutability of genomic DNA or dual-target plasmid DNA as a quantifier calibrator is documented.
Other times, whenever the task involved reasoning, logic, connection, interpretation, or when she simply pulled in the wrong information from her memory, she would get 10%.
When the theory is couched within first-order logic, the interpretation is given by standard Tarskian semantics.
That this approach adheres to the relational reading of λ terms can be seen clearly in the semantics: according to the standard Tarski-style semantics for first-order logic, the interpretation of a formula (possibly with free variables) denotes a set of tuples of elements of the structure, as we vary the variable assignment that assigns elements of the structure to the variables.
And before they can adequately do this, they are supposed to master a veritable smorgasbord of related subjects: pre-Islamic history, classical Arabic grammar, philology, morphology, syntax, logic, Hadith interpretation, asbab al-nuzul (the occasion of revelation of a given verse, which gives its context), and other Islamic sciences that shed light on the meanings of the text.
These systems provide summary information, order, and logic for interpretation of sparse experimental results [ 6, 7].
In the context of intelligent task control, information extraction, fuzzy-logic-based interpretation and decision-making, and a novel design of associated real-time robot task language (RTTL) are developed.
