Comparing Operation Points in Linear Programming with Fuzzy Constraints

Autor:	Germán Jairo Hernández-Pérez, Juan Carlos Figueroa-García, Dusko Kalenatic
Rok vydání:	2017
Předmět:	Mathematical optimization ComputingMethodologies_PATTERNRECOGNITION Optimization problem Linear programming media_common.quotation_subject Fuzzy set operations Certainty Fuzzy logic media_common Mathematics
Zdroj:	Studies in Systems, Decision and Control ISBN: 9783319617527
DOI:	10.1007/978-3-319-61753-4_9
Popis:	Linear programming with fuzzy constraints is a well known approach to model uncertainty in optimization problems. However, in practical applications there is no certainty of implementing optimal solutions given by fuzzy optimization models, so in many cases the problem has to be solved using crisp available information. In this chapter, we provide a mathematical framework for comparing optimal to crisp solutions of a linear programming problem under fuzzy constraints.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a87ea8fc3be618657ff9d47da4f34a86 https://doi.org/10.1007/978-3-319-61753-4_9 Zobrazit plný text záznamu