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
Soft Computing
Erschienen in: Soft Computing 9/2014

01.09.2014 | Methodologies and Application

A fuzzy MCDM method and an application to solid transportation problem with mode preference

verfasst von: Pradip Kundu, Samarjit Kar, Manoranjan Maiti

Erschienen in: Soft Computing | Ausgabe 9/2014

Einloggen

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

search-config
loading …

Abstract

In this paper we propose a computationally efficient fuzzy multi-criteria decision making (FMCDM) method. For this purpose we define a ranking function based on credibility measure to rank a fuzzy number over another fuzzy number. A comparative result of our proposed ranking method with the other well known methods is provided. The proposed FMCDM method is successfully applied to find most preferred transportation mode among available modes with respect to some evaluation criteria for a solid transportation problem (STP). Here the evaluation ratings of the alternatives and criteria weights are presented in terms of linguistic variables. The importance weights of the available transportation modes as obtained by this method are then assigned to the STP. Numerical example is provided to illustrate the proposed method and problem.
Vorheriger Artikel State filters on fuzzy structures with internal states

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 "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

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
Literatur
Anand MD, Kumanan TSS, Johnny MA (2008) Application of multi-criteria decision making for selection of robotic system using fuzzy analytic hierarchy process. Int J Manag Decis Mak 9(1):75–98
Asady B, Zendehnam A (2007) Ranking fuzzy numbers by distance minimization. Appl Math Model 31:2589–2598CrossRefMATH
Chan FTS, Kumar N (2007) Global supplier development considering risk factors using fuzzy extended AHP-based approach. Omega 35(4):417–431CrossRef
Chen CT (2000) Extensions to the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst 114:1–9CrossRefMATH
Chen S (1985) Ranking fuzzy numbers with maximizing set and minimizing set. Fuzzy Sets Syst 17:113–129CrossRefMATH
Chen SJ, Hwang CL, Hwang FP (1992) Fuzzy multiple attribute decision making. Lect Notes Econ Math Syst 375:1–531CrossRefMathSciNet
Cheng CH (1998) A new approach for ranking fuzzy numbers by distance method. Fuzzy Sets Syst 95:307–317CrossRefMATH
Cheng CH, Lin Y (2002) Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation. Eur J Oper Res 142:174–186CrossRefMATH
Chiou HK, Tzeng GH, Cheng DC (2005) Evaluating sustainable fishing development strategies using fuzzy MCDM approach. Omega 33(3):223–234CrossRef
Chu T-C, Tsao C-T (2002) Ranking fuzzy numbers with an area between the centroid point and original point. Comput Math Appl 43:111–117CrossRefMATHMathSciNet
Ding J-F, Liang G-S (2005) Using fuzzy MCDM to select pertners selection of strategic alliances for linear shipping. Inf Sci 173:197–225CrossRefMATH
Dyer JS, Fishburn PC, Steuer RE, Wallenius J, Zionts S (1992) Multiple criteria decision making, multiattribute utility theory: the next ten years. Manag Sci 38(5):645–654MATH
Ertay T, Buyukozkan G, Kahraman C, Ruan D (2005) Quality function deployment implementation based on analytical network process with linguistic data: an application in automotive industry. J Intell Fuzzy Syst 16(3):221–232
Eskigun E, Uzsoy R, Preckel PV, Beaujon G, Krishnan S, Tew JD (2005) Outbound supply chain network design with mode selection, lead times and capacitated vehical destribution centers. Eur J Oper Res 165:182–206CrossRefMATHMathSciNet
Hatami-Marbini A, Tavana M (2011) An extension of the Electre I method for group decision-making under a fuzzy environment. Omega 39:373–386CrossRef
Hwang CL, Yoon K (1981) Multiple Attribute Decision Making: Methods and Application. Springer, New YorkCrossRef
Kiesmüller GP, de Kok AG, Fransoo JC (2005) Transportation mode selection with positive manufacturing lead time. Transp Res Part E 41:5110530CrossRef
Kumru M, Kumru PY (2013) Analytic hierarchy process application in selecting the mode of transport for a logistics company. Journal of Advanced Transportation. doi:10.​1002/​atr.​1240
Kundu P, Kar S, Maiti M (2013) Multi-objective multi-item solid transportation problem in fuzzy environment. Appl Math Model 37:2028–2038CrossRefMathSciNet
Lee HS (2005) A fuzzy mulyi-criteria decision making model for the selection of the distribution center. Lect Notes Comput Sci 3612:1290–1299CrossRef
Liu B, Liu YK (2002) Expected value of fuzzy variable and fuzzy expected value models. IEEE Trans Fuzzy Syst 10:445–450CrossRef
Mikhailov L, Sing MG (2003) Fuzzy analytic network process and its application to the development of decision support sustems. IEEE Trans Syst Man Cybern 33(1):33–41CrossRef
Mikhailov L, Tsvetinov P (2004) Evaluation of services using a fuzzy analytical hierarchy process. Appl Soft Comput 5:23–33CrossRef
Mohanty RP, Agarwal R, Choudhury AK, Tiwari MK (2005) A fuzzy ANP-based approach to R\(\partial \)D project selection: a case study. Int J Prod Res 43(24):5199–5216CrossRefMATH
Monahan JP, Berger PD (1977) A transportation mode selection model for a consolidation warehouse system. Math Method Oper Res 21(5):211–222CrossRefMATH
Patel G, Tripathy J (1989) The solid transportation problem and its variants. Int J Manag Syst 5:17–36MathSciNet
Punakivi M, Hinkka V (2006) Selection criteria of transportation mode: a case study in four finnish industrial sectors. Transport Rev 26(2):207–219CrossRef
Qu L, Chen Y, Mu X (2008) A Transport Mode Selection Method for Multimodal Transportation Based on an Adaptive ANN System. In: proceedings of Fourth International Conference on Natural Computation, ICNC ’08, vol 3, pp 436–440
Saaty TL (2001) The analytical network process: Decision Making with Dependence and Feedback. RWS Publications, Pittsburgh
Tuzkaya UR, Önüt S (2008) A fuzzy analytical network process based approach to transportation-mode selection between Turkey and Germany: a case study. Inf Sci 178:3133–3146
Wang H, Lee CY (2005) Production and transport logistics scheduling with two transport mode choices. Naval Res Logist 52:796–809CrossRefMATHMathSciNet
Wang YJ (2011) Fuzzy multi-criteria decision-making based on positive and negetive extreme solutions. Appl Math Model 35:1994–2004CrossRefMATHMathSciNet
Wang YM, Elhag TMS (2006) Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Syst Appl 31:309–319CrossRef
Wang YJ, Lee HS, Lin K (2003) Fuzzy TOPSIS for multi-criteria decision-making. Int Math J 3(4):367–379MATHMathSciNet
Yang L, Liu L (2007) Fuzzy fixed charge solid transportation problem and algorithm. Appl Soft Comput 7:879–889CrossRef
Yuan Y (1991) Criteria for evaluating fuzzy ranking methods. Fuzzy Sets Syst 44:139–157CrossRef
Metadaten
Titel
A fuzzy MCDM method and an application to solid transportation problem with mode preference
verfasst von
Pradip Kundu
Samarjit Kar
Manoranjan Maiti
Publikationsdatum
01.09.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 9/2014
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-013-1161-0

Weitere Artikel der Ausgabe 9/2014

Soft Computing 9/2014 Zur Ausgabe

Focus

Opportunistic sharing scheme for spectrum allocation in wireless virtualization

Focus

A quantum-inspired Tabu search algorithm for solving combinatorial optimization problems

Focus

Network security management with traffic pattern clustering

Editorial

Soft computing for security services in smart and ubiquitous environments

Focus

A dynamic trust model exploiting the time slice in WSNs

Focus

An efficient PHR service system supporting fuzzy keyword search and fine-grained access control