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Equation (18) illustrates the links between the confidence level of the fuzzy constraint and spinning reserve allocation when taking the fuzziness of RES predicted error into account.
Fuzzy constraint satisfaction provides a more graded viewpoint.
This paper develops a fuzzy constraint based model for bilateral multi-issue negotiation in trading environments.
Fuzzy constraint programming has been developed for treating uncertainty in the setting of optimization problems with vague constraints.
In this paper, the fuzzy reliability and fuzzy constraint are introduced to establish the fuzzy reliability-based optimum model for laminated composites.
In particular, we give five methods to construct the priority operators that are used for calculating the local satisfaction degree of a prioritised fuzzy constraint, and identify priority T-norm operators that can be used for calculating the global satisfaction degree of a prioritised fuzzy constraint problem.
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When the flexibility in the constraints and fuzziness exist in the objective function, fuzzy constraints and fuzzy goals are introduced as fuzzy sets to conventional programming models.
The flexible planning operators are close in definition to fuzzy constraints.
This approach enables the flexible optimal system design by applying fuzzy goals and fuzzy constraints.
This problem is formulated as a fixed point optimization subject to fuzzy constraints.
This method enables a flexible method for optimal system design by applying fuzzy objectives and fuzzy constraints.
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