Abstract
In this paper an optimality concept is introduced for (g,p) — fuzzified mathematical programming problems. It is based on the parametric embedding method of classical nonlinear programming. A numerical method to find the optimum in this sense is also given.
This research was supported by the projects OTKA-606-1986/400-0413 and FKP-400-0113
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References
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Kovács, M. (1991). A Concept of Optimality for Fuzzified Mathematical Programming Problems. In: Fedrizzi, M., Kacprzyk, J., Roubens, M. (eds) Interactive Fuzzy Optimization. Lecture Notes in Economics and Mathematical Systems, vol 368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45700-5_4
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DOI: https://doi.org/10.1007/978-3-642-45700-5_4
Publisher Name: Springer, Berlin, Heidelberg
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