Sentence examples for crisp constraints from inspiring English sources

and also subject to the crisp constraints shown in (2.3) to (2.13), where λ = min μ SCC, μ VF Open image in new window.

It is a generalisation of crisp constraint satisfaction allowing the user to express preferences between solutions.

From the point of decision maker's satisfaction, several typical methods introduced by Sengupta et al. [33], Guo and Wu [34], and Allahdadi and Nehi [35] mainly focus on transforming an interval inequality constraint into a type of satisfactory crisp constraint.

Meanwhile, this transformation of interval inequality constraints into crisp equivalent forms could lead to the uncertainty of intervals lost to some extent.

This study converts the GFMOOP into a fuzzy multi-objective optimization problem with ε-constraints, abbreviated as ε-FMOOP, by transforming the crisp objective function to an ε-constraint.

In order to do so, we first need to convert each interval inequality constraint into its crisp form.

In traditional optimization, these constraints are defined with crisp number.

In the above two works, the constraints are confined to crisp inequality forms.

(126), (127) are directly applied to convert our fuzzy constraints into their equivalent crisp one.

It is well known that, in the conventional bilevel programming problem, the coefficients in both objective functions and constraints are deterministic or crisp.

In their study, objectives targets are handled as fuzzy but the parameters and right hand side of constraints are considered as crisp.