The HCD methodology could effectively be used to find the overall satisfaction of objective functions (selecting the design variables) in the early stages of design process.
where μ Z h ( X ) Open image in new windowis the satisfaction degree of the h- th objective function and λ 0 = min h { μ Z h ( X ) } Open image in new windowis the minimum satisfaction degree of objectives.
This index helps us measure the degree of balance involved in developing a compromise solution by considering the maximum difference between the satisfaction degrees of objectives.
It means that for higher values of γ, the solution method results bigger lower bound for the satisfaction degrees of objectives (λ0) for a given sample example.
For evaluation, we take a multi-pronged approach that combines implementation and prototyping as well as simulation and socio-economics into a suite of methods that aim at evaluating the overall satisfaction of our objectives.
The first expresses the satisfaction of design objectives, relating to physical behaviors of candidate design solutions.
The examined problem tackles the multi-stage manufacturing network design for single customised products, through satisfaction of multiple objectives.
The strategy is aimed at guaranteeing the satisfaction of comfort objectives, both thermal and lighting, by using the minimum amount of energy.
Satisfaction of twin objectives of maximization of Mn along with minimization of PDI do not necessarily guarantee the maximization of concentration of desired species in a semibatch epoxy polymerization process.
The 'satisfaction of objectives' theme referred to issues related to the decision problem (population, intervention, comparator, outcomes and NICE base case) and whether or not these were satisfactorily addressed in the MS. Twenty of the 30 ERG reports raised issues with the trial populations presented in the MS and 18/30 raised various issues with the comparators.
Fuzzy mathematical programing is an efficient approach to solve multi-objective optimization problems, which models each objective as a fuzzy set whose membership function represents the degree of satisfaction of the objective.
