Sentence examples for fuzzy criterion from inspiring English sources
In Section 2, we consider an urban system that understands the timing of expansions of system capacity, a dynamic fuzzy criterion model for reservoir operations and assigning priorities to welfare policies.
Fuzzy criteria maps corresponding to each of these criteria were produced in Geospatial Information Systems GISS) environment.
Processing such queries requires human input for providing the missing information, for performing computationally difficult functions, and for matching, ranking, or aggregating results based on fuzzy criteria.
This "velocity index" proved to be far more accurate, partly because a day is a day, preventing any distortions or exaggerations, unlike conveniently fuzzy criteria that can inflate predictions of success.
The unweighted and weighted multi-attribute axiomatic design (AD) approaches developed in this paper include both crisp and fuzzy criteria.
Processing such queries requires human input for providing information that is missing from the database, for performing computationally difficult functions, and for matching, ranking, or aggregating results based on fuzzy criteria.
The desired process behavior is defined by a set of fuzzy criteria induced either by a reference model or by general technical requirements.
Find the set of fuzzy criteria in C, defined as: begin{aligned} B_{a_{i}}^{epsilon }=left{ c_{k} in C | mu _{c_{k}}(a_{i}) ge mu _{v}(a_{i} -epsilon right} end{a_{i} -epsilonB_{a_{i}}^{epsilon }) is the set of fuzzy attrightes in C such that the degrees of (a_{i}) bend{aligned them are larger than or equal to (mu _{v}(a_{i})-epsilon ).
The sufficient condition on the existence of robust finite-time energy-to-peak fuzzy filtering criterion is formulated in the form of linear matrix inequalities and the designed finite-time energy-to-peak fuzzy filter is described as an optimization one.
The proposed approach exploits a fuzzy clustering criterion that combined With the agent paradigm conceived as a simple and powerful bridge between asynchronous and distributed computation and Matlab environment permits to achieve better results, both in terms of a reduced computational effort and an improved efficiency of the control system over various driving cycles.
