It included producing aesthetically pleasing products that met the specific needs, cost, and functional requirements of the problem at hand.
Such conflicts usually develop either because the designer tries to carry out an aesthetic concept that ignores the technical and functional requirements of the problem or because the program is so demanding technically, functionally, or economically that it eliminates aesthetic considerations from the design process.
The algorithm was designed carefully by considering three major technological requirements of the problem: dual visibility, reliability, and efficiency.
These criteria should be identified under each of the k criteria (C1, C2,…, C h, Ch+1,…, C k ) considering the specific requirements of the problem.
The fuzzy requirements of the problem (3.1) can be quantified by electing a membership function μ ( f ( x ) ) (Figure 2) which is differentiable in the open interval f ( x 1 ) < f ( x ) < f ( x 0 ) where μ ( f ( x ) ) is defined by μ ( f ( x ) ) = { 1, f ( x ) ≤ f ( x 1 ), f ( x ) − f ( x 1 ) f ( x ¯ 0 ) − f ( x ¯ 1 ), f ( x 1 ) ≤ f ( x ) ≤ f ( x 0 ), 0, f ( x ) ≥ f ( x 0 ), (4.6).
Namely, we adapt the multiple plan approach (MPA, see Algorithm 8) and the multiple scenario approach (MSA, see Algorithm 9) to the requirements of the problem at hand.
Our solution highlights the flexibility offered by these architectures in combining the parallel processing elements based on the requirements of the problem.
This situation is also partly due to the fact that few implementation methodologies can meet the requirement of the difficult problem-solving process, since this problem-solving process involves an analysis of interdependent activities whose critical attributes include intangible elements.
A concern is any concept, feature, requirement or property of the problem or solution domain.
