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
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
ATZ-Fachkongress

Chassis.tech plus 2024


4 Kongresse in einer Veranstaltung

Treffen Sie in München die Fachleute von Chassis, Lenkung, Bremsen sowie Reifen/Räder.
Erweiterte Suche
Anmelden
nach oben
Neural Computing and Applications
Erschienen in: Neural Computing and Applications 15/2020

16.01.2020 | Original Article

Novel multi-objective, multi-item and four-dimensional transportation problem with vehicle speed in LR-type intuitionistic fuzzy environment

verfasst von: Sarbari Samanta, Dipak Kumar Jana, Goutam Panigrahi, Manoranjan Maiti

Erschienen in: Neural Computing and Applications | Ausgabe 15/2020

Einloggen

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

search-config
loading …

Abstract

In this paper, we present some novel multi-objective, multi-item and four-dimensional transportation problems in LR-type intuitionistic fuzzy environment. Here, for the first time, the speed of different vehicles and rate of disturbance of speed due to the road condition of different routes for the time minimization objective are introduced. Furthermore, three models are presented under three different conditions. The reduced deterministic models are obtained on implementation of a defuzzification approach by using the accuracy function. Moreover, a new method for converting multi-objective problem into single-objective one is proposed and also we use convex combination method. The models are illustrated by some numerical examples and optimal results are presented.
Vorheriger Artikel An intelligent data-driven model for Dean–Stark water saturation prediction in carbonate rocks
Nächster Artikel Retraction Note to: ANFIS-based prediction of the compressive strength of geopolymers with seeded fly ash and rice husk–bark ash

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

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

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
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Hitchcock FL (1941) The distribution of a product from several sources to numerous localities. J Math Phys 20:224–230MathSciNetCrossRef
2.
Houthakker HS (1955) On the numerical solution of the transportation problem. J Oper Res Soc Am 3(2):210–214MathSciNetMATH
3.
Adlakha V, Kowalski K (1998) A quick sufficient solution to the more-for-less paradox in the transportation problems. Omega 26:541–547CrossRef
4.
Arsham H, Khan AB (1989) A simplex type algorithm for general transportation problems: an alternative to stepping-stone. J Oper Res Soc 40:581–590CrossRef
5.
Juman ZAMS, Hoque MA (2015) An efficient heuristic to obtain a better initial feasible solution to the transportation problem. Appl Soft Comput 34:813–826CrossRef
6.
Haley K (1962) The solid transportation problem. Oper Res 10:448–463CrossRef
7.
Bhatia HL (1981) Indefinite quadratic solid transportation problem. J Inf Optim Sci 2(3):297–303MathSciNetMATH
8.
Pandian P, Anuradha D (2010) A new approach for solving solid transportation problems. Appl Math Sci 4:3603–3610MathSciNetMATH
9.
Pandian P, Kavitha K (2012) Sensitivity analysis in solid transportation problems. Appl Math Sci 6(136):6787–6796MathSciNetMATH
10.
Pramanik S, Jana DK, Mait M (2016) Bi-criteria solid transportation problem with substitutable and damageable items in disaster response operations on fuzzy rough environment. Socio Econ Plan Sci 55:1–13CrossRef
11.
Bera S, Giri PK, Jana DK, Basu K, Maiti M (2018) Multi-item 4D-TPs under budget constraint using rough interval. Appl Soft Comput 71:364–385CrossRef
12.
Zimmermann HJ (1978) Fuzzy programming and linear programming with several objective functions. Fuzzy Sets Syst 1(1):45–55MathSciNetCrossRef
13.
14.
Pramanik S, Jana DK, Maiti M (2013) Multi-objective solid transportation problem in imprecise environments. J Transp Secur 6(2):131–150CrossRef
15.
Pramanik S, Jana DK, Maiti M (2015) A fixed charge multi-objective solid transportation problem in random fuzzy environment. J Intell Fuzzy Syst 28(6):2643–2654MathSciNetCrossRef
16.
Pramanik S, Jana DK, Maiti K (2014) A multi objective solid transportation problem in fuzzy, bi-fuzzy environment via genetic algorithm. Int J Adv Oper Manag 6:4–26
17.
Samanta S, Jana DK (2019) A multi-item transportation problem with mode of transportation preference by MCDM method in interval type-2 fuzzy environment. Neural Comput Appl 31(2):605–617CrossRef
18.
Jana DK, Pramanik S, Maiti M (2016) Mean and CV reduction methods on Gaussian type-2 fuzzy set and its application to a multilevel profit transportation problem in a two-stage supply chain network. Neural Comput Appl 28(9):2703–2726CrossRef
19.
Attanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20:87–96CrossRef
20.
21.
22.
23.
Beliakov G, Bustince H, James S, Calvo T, Fernandez J (2012) Aggregation for atanassovs intuitionistic and interval valued fuzzy sets: the median operator. IEEE Trans Fuzzy Syst 20(3):487–498CrossRef
24.
Hajiagha SHR, Mahdiraji HA, Hashemi SS, Zavadskas EK (2015) Evolving a linear programming technique for MAGDM problems with interval valued intuitionistic fuzzy information. Expert Syst Appl 42(23):9318–9325CrossRef
25.
26.
Chakraborty D, Jana DK, Roy TK (2015) A new approach to solve multi-objective multi-choice multi-item Atanassov’s intuitionistic fuzzy transportation problem using chance operator. J Intell Fuzzy Syst 28:843–865MathSciNetCrossRef
27.
Chakraborty D, Jana DK, Roy TK (2015) Arithmetic operations on generalized intuitionistic fuzzy number and its applications to transportation problem. OPSEARCH 52(3):431–471MathSciNetCrossRef
28.
Chakraborty D, Jana DK, Roy TK (2016) Expected value of intuitionistic fuzzy number and its application to solve multi-objective multi-item solid transportation problem for damageable items in intuitionistic fuzzy environment. J Intell Fuzzy Syst 30:1109–1122CrossRef
29.
Jana DK (2016) Novel arithmetic operations on type-2 intuitionistic fuzzy and its applications to transportation problem. Pac Sci Rev A Nat Sci Eng 18:178–189
30.
Singh V, Yadav SP (2017) Development and optimization of unrestricted LR-type intuitionistic fuzzy mathematical programming problems. Expert Syst Appl 80:147–161CrossRef
31.
Kaur J, Kumar A (2013) Mehar’s method for solving fully fuzzy linear programming problems with L-R fuzzy parameters. Appl Math Model 37:7142–7153MathSciNetCrossRef
32.
Ghanbari R, Amiri NM, Yousefpour R (2010) Exact and approximate solutions of fuzzy LR linear systems: new algorithms using a least squares model and the ABS approach. Iran J Fuzzy Syst 7(2):1–18MathSciNetMATH
33.
Nagoorgani A, Ponnalagu R (2012) A new approach on solving intuitionistic fuzzy linear programming problem. Appl Math Sci 6:3467–3474MathSciNetMATH
34.
Tanino T, Tanaka T, Inuiguchi M (2003) Multi-objective programming and goal programming: theory and applications. Springer, BerlinCrossRef
Metadaten
Titel
Novel multi-objective, multi-item and four-dimensional transportation problem with vehicle speed in LR-type intuitionistic fuzzy environment
verfasst von
Sarbari Samanta
Dipak Kumar Jana
Goutam Panigrahi
Manoranjan Maiti
Publikationsdatum
16.01.2020
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 15/2020
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-019-04675-y

Weitere Artikel der Ausgabe 15/2020

Neural Computing and Applications 15/2020 Zur Ausgabe

Retraction Note

Retraction Note to: ANFIS-based prediction of the compressive strength of geopolymers with seeded fly ash and rice husk–bark ash

Original Article

Hopfield attractor-trusted neural network: an attack-resistant image encryption

S.I.: Computer aided Medical Diagnosis

Automatic classification of pulmonary diseases using a structural co-occurrence matrix

Original Article

The optimized bonding method for long high voltage cable lines under the unbalanced cases

Original Article

A neural-network-based framework for cigarette laser code identification

Computer aided Medical Diagnosis

Automated detection of chronic kidney disease using higher-order features and elongated quinary patterns from B-mode ultrasound images

Premium Partner

    Bildnachweise