| Full text | |
| Author(s): |
Total Authors: 3
|
| Affiliation: | [1] Univ Fed Sao Paulo, Inst Sci & Technol, BR-12231280 Sao Jose Dos Campos, SP - Brazil
[2] Univ Granada, CITIC, Dept Comp Sci & Artificial Intelligence, E-18071 Granada - Spain
Total Affiliations: 2
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| Document type: | Journal article |
| Source: | Fuzzy Optimization and Decision Making; v. 12, n. 3, p. 231-248, SEP 2013. |
| Web of Science Citations: | 9 |
| Abstract | |
Although quadratic programming problems are a special class of nonlinear programming, they can also be seen as general linear programming problems. These quadratic problems are of the utmost importance in an increasing variety of practical fields. As, in addition, ambiguity and vagueness are natural and ever-present in real-life situations requiring operative solutions, it makes perfect sense to address them using fuzzy concepts formulated as quadratic programming problems with uncertainty, i.e., as Fuzzy Quadratic Programming problems. This work proposes two novel fuzzy-sets-based methods to solve a particular class of Fuzzy Quadratic Programming problems which have vagueness coefficients in the objective function. Moreover, two other linear approaches are extended to solve the quadratic case. Finally, it is shown that the solutions reached from the extended approaches may be obtained from two proposed parametric multiobjective approaches. (AU) | |
| FAPESP's process: | 10/51069-2 - Soft computing: applications to the engineering problems |
| Grantee: | Akebo Yamakami |
| Support Opportunities: | Regular Research Grants |