Naslov: | Generalised fuzzy linear programming |
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Avtorji: | ID Usenik, Janez (Avtor) ID Žulj, Maja (Avtor) |
Datoteke: | Generalised_fuzzy_linear_programming_Usenik_2023.pdf (21,53 MB) MD5: 3821B4C88BFA04F38B2CD46E878AD253
https://www.fe.um.si/images/jet/2023/16-1-JET_Paper2.pdf
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Jezik: | Angleški jezik |
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Vrsta gradiva: | Znanstveno delo |
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Tipologija: | 1.01 - Izvirni znanstveni članek |
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Organizacija: | FE - Fakulteta za energetiko
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Opis: | Linear programming is one of the widely used methods for optimising business systems, which includes organisational, financial, logistic and control subsystems of energy systems in general. It is possible to express numerous real-world problems in a form of linear program and then solve by simplex method [1]. In the development of linear programming, we are facing a number of upgrades and generalisations, as well as replenishment. Particularly interesting in recent years is an option that decision variables and coefficients are fuzzy numbers. In this case we are dealing with fuzzy linear programming. If we also include in a fuzzy linear program a generalisation with respect to Wolfe’s modified simplex method [1], we obtain a generalised fuzzy linear program (GFLP). Usenik and Žulj introduced methods for solving those programs and proved the existence of the optimal solution in [2]. In the article, the simplex algorithm which enables the determining of an optimal solution for GFLP is described. There is a numerical example at the end of the article that illustrates the algorithm. |
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Ključne besede: | linear programming, fuzzy linear programming, generalised linear programming, generalised fuzzy linear programmin |
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Status publikacije: | Objavljeno |
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Verzija publikacije: | Objavljena publikacija |
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Datum objave: | 01.06.2023 |
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Založnik: | Fakulteta za energetiko Univerze v Mariboru |
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Leto izida: | 2023 |
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Št. strani: | Str. 23-39 |
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Številčenje: | Letn. 16, Št. 1 |
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PID: | 20.500.12556/DKUM-86127  |
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UDK: | 519.852 |
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COBISS.SI-ID: | 162884355  |
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ISSN pri članku: | 1855-5748 |
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Datum objave v DKUM: | 11.10.2023 |
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Število ogledov: | 296 |
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Število prenosov: | 5 |
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Metapodatki: |  |
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Področja: | Ostalo
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