Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
International Journal of Machine Learning and Cybernetics
Erschienen in: International Journal of Machine Learning and Cybernetics 4/2018

30.04.2016 | Original Article

Uncertain programming model for multi-item solid transportation problem

verfasst von: Hasan Dalman

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 4/2018

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In this paper, an uncertain Multi-objective Multi-item Solid Transportation Problem (MMSTP) based on uncertainty theory is presented. In the model, transportation costs, supplies, demands and conveyances parameters are taken to be uncertain parameters. There are restrictions on some items and conveyances of the model. Therefore, some particular items cannot be transported by some exceptional conveyances. Using the advantage of uncertainty theory, the MMSTP is first converted into an equivalent deterministic MMSTP. By applying convex combination method and minimizing distance function method, the deterministic MMSTP is reduced into single objective programming problems. Thus, both single objective programming problems are solved using Maple 18.02 optimization toolbox. Finally, a numerical example is given to illustrate the performance of the models.
Nächster Artikel Generalized linear discriminant analysis based on euclidean norm for gait recognition

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Weitere Produktempfehlungen anzeigen
Literatur
1.
Haley KB (1962) New methods in mathematical programming—The solid transportation problem. Oper Res 10(4):448–463CrossRefMATH
2.
Wang XZ, Ashfaq RAR, Fu AM (2015) Fuzziness based sample categorization for classifier performance improvement. J Intell Fuzzy Syst 29(3):1185–1196MathSciNetCrossRef
3.
Wang XZ (2015) Uncertainty in learning from big data-editorial. J Intell Fuzzy Syst 28(5):2329–2330CrossRef
4.
Lu SX, Wang XZ, Zhang GQ (2015) Effective algorithms of the Moore-Penrose inverse matrices for extreme learning machine. Intell Data Anal 19(4):743–760CrossRef
5.
6.
7.
Castillo O, Patricia M (2014) A review on interval type-2 fuzzy logic applications in intelligent control. Intell Data Anal 279:615–631MathSciNetMATH
8.
Dalman H, Koken HG, Sivri M (2013) A solution proposal to indefinite quadratic interval transportation problem. New Trends Math Sci 1(2):07–12
9.
Wang S, Junzo W (2013) Capacitated two-stage facility location problem with fuzzy costs and demands. Int J Mach Learn Cyber 4(1):65–74CrossRef
10.
11.
Sakawa M, Hideki K, Takeshi M (2015) Fuzzy random bilevel linear programming through expectation optimization using possibility and necessity. Int J Mach Learn Cybern 3(3):183–192CrossRef
12.
Garg H (2015) Generalized intuitionistic fuzzy multiplicative interactive geometric operators and their application to multiple criteria decision making. Int J Mach Learn Cybern. doi:10.​1007/​s13042-015-0432-8
13.
Bit AK, Biswal MP, Alam SS (1993) Fuzzy programming approach to multiobjective solid transportation problem. Fuzzy Sets Syst 57(2):183–194MathSciNetCrossRefMATH
14.
15.
Jiménez F, Verdegay JL (1999) Solving fuzzy solid transportation problems by an evolutionary algorithm based parametric approach. Eur J Oper Res 117(3):485–510CrossRefMATH
16.
Kundu P, Samarjit K, Manoranjan M (2013) Multi-objective multi-item solid transportation problem in fuzzy environment. Appl Math Model 37(4):2028–2038MathSciNetCrossRefMATH
17.
Kundu P, Samarjit K, Manoranjan M (2015) Multi-item solid transportation problem with type-2 fuzzy parameters. Appl Soft Comput 31:61–80CrossRef
18.
Dalman H, Güzel N, Sivri M (2015) A Fuzzy Set-based approach to multi-objective multi-item solid transportation problem under uncertainty. Int J Fuzzy Syst. doi:10.​1007/​s40815-015-0081-9
19.
Das A, Bera UK (2015) A bi-objective solid transportation model under uncertain environment. In: Chakraborty MK, Skowron A, Maiti M, Kar S (eds) Facets of uncertainties and applications. Springer, New Delhi, pp 261–275. doi:10.​1007/​978-81-322-2301-6_​20 CrossRef
20.
Giri PK, Manas KM, Manoranjan M (2015) Fully fuzzy fixed charge multi-item solid transportation problem. Appl Soft Comput 27:77–91CrossRef
21.
Yang L, Liu P, Li S, Gao Y, Ralescu DA (2015) Reduction methods of type-2 uncertain variables and their applications to solid transportation problem. Inf Sci 291:204–237MathSciNetCrossRefMATH
22.
Liu B (2015) Uncertainty theory, 4th edn. Springer-Verlag, BerlinMATH
23.
Liu B (2007) Uncertainty theory, 2nd edn. Springer, Berlin, HeidelbergMATH
24.
Liu B (2010) Uncetainty theory: a branch of mathematics for modelling human uncertainty. Springer-Verlag, BerlinCrossRef
25.
Liu B (2010) Uncertain risk analysis and uncertain reliability analysis. J Uncertain Syst 4(3):163–170
26.
Liu B (2012) Why is there a need for uncertainty theory. J Uncertain Syst 6(1):3–10
27.
Wang XS, Peng ZX (2014) Method of moments for estimating uncertainty distributions. J Uncertain Anal Appl 2(1):1–10MathSciNetCrossRef
28.
29.
Liu B (2009) Theory and practice of uncertain programming, 2nd edn. Springer-Verlag, BerlinCrossRefMATH
30.
Liu B, Chen XW (2015) Uncertain multiobjective programming and uncertain goal programming. J Uncertain Anal Appl 3(1):1–8CrossRef
31.
Liu B, Yao K (2015) Uncertain multilevel programming: algorithm and applications. Comput Ind Eng 89:235–240CrossRef
32.
Zhou J, Fan Y, Ke W (2014) Multi-objective optimization in uncertain random environments. Fuzzy Optim Decis Mak 13(4):397–413MathSciNetCrossRef
33.
Ke H, Liu H, Tian G (2015) An uncertain random programming model for project scheduling problem. Int J Intell Syst 30(1):66–79CrossRef
34.
Zhong S, Chen Y, Zhou J, Liu Y (2014) An interactive satisficing approach for multi-objective optimization with uncertain parameters. J Intell Manuf. doi: 110.​1007/​s10845-014-0998-010.1007/s10845-014-0998-0
35.
Liu B (2009) Some research problems in uncertainty theory. J Uncertain Syst 3(1):3–10
36.
Liu YH, Ha M (2010) Expected value of function of uncertain variables. J Uncertain Syst 4(3):181–186
Metadaten
Titel
Uncertain programming model for multi-item solid transportation problem
verfasst von
Hasan Dalman
Publikationsdatum
30.04.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 4/2018
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-016-0538-7

Weitere Artikel der Ausgabe 4/2018

International Journal of Machine Learning and Cybernetics 4/2018 Zur Ausgabe

Original Article

An approach to interval-valued intuitionistic stochastic multi-criteria decision-making using set pair analysis

Original Article

Cardiac arrhythmia classification using multi-granulation rough set approaches

Original Article

A new fusion approach for content based image retrieval with color histogram and local directional pattern

Original Article

On derivations of linguistic truth-valued lattice implication algebras

Original Article

Alpha matting with image pixel correlation

Original Article

Goal programming approach to derive intuitionistic multiplicative weights based on intuitionistic multiplicative preference relations

Neuer Inhalt

    Bildnachweise