Skip to main content
Erschienen in: Neural Computing and Applications 11/2021

20.09.2020 | Original Article

Vertex covering problems of fuzzy graphs and their application in CCTV installation

verfasst von: Anushree Bhattacharya, Madhumangal Pal

Erschienen in: Neural Computing and Applications | Ausgabe 11/2021

Einloggen

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

search-config
loading …

Abstract

In graph theory, a vertex covering set \(V_\mathrm{C}\) is a set of vertices such that each edge of the graph is incident to at least one of the vertices of the set \(V_\mathrm{C}\). The problems related to vertex covering are called vertex covering problems. Many real-life problems contain a lot of uncertainties. To handle such uncertainties, concept of fuzzy set/graph is used. Here, we consider the covering problems of fuzzy graph to model some real-life problems. In this paper, a vertex covering problem is modeled as a series of linear and nonlinear programming problems with the help of basic graph-theoretic concept. In this model, the following objectives are considered: (1) the total number of facilities, the coverage area and total efficiency of all facilities are maximized, whereas (2) the total cost for the covering problem is minimized. Some new sets are defined and determined to make best decision on the basis of the features of facilities of the fuzzy system. An illustration is given to describe the whole model. Application of the said vertex covering problem to make a suitable decision for the placement of CCTVs in a city with the help of the developed formulations is given in a systematic way. To find the solutions, some algorithms are designed and the mathematical software ‘LINGO’ is used to keep the fuzziness of the parameters involved in the problems.

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!

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!

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!

Literatur
1.
3.
Zurück zum Zitat Chaudhry SS (1993) New heuristics for the conditional covering problem. Opsearch 30:42–47MATH Chaudhry SS (1993) New heuristics for the conditional covering problem. Opsearch 30:42–47MATH
4.
Zurück zum Zitat Chaudhry SS, Moon ID, McCormick ST (1987) Conditional covering: greedy heuristics and computational results. Comput Oper Res 14:11–18MathSciNetCrossRef Chaudhry SS, Moon ID, McCormick ST (1987) Conditional covering: greedy heuristics and computational results. Comput Oper Res 14:11–18MathSciNetCrossRef
5.
Zurück zum Zitat Chen SJ, Chen SM (2001) A new method to measure the similarity between fuzzy numbers. In: IEEE international conference on fuzzy systems, pp 1123–1126 Chen SJ, Chen SM (2001) A new method to measure the similarity between fuzzy numbers. In: IEEE international conference on fuzzy systems, pp 1123–1126
6.
9.
Zurück zum Zitat Ghorai G, Pal M (2016) Faces and dual of m-polar fuzzy planar graphs. J Intell Fuzzy Syst 31(3):2043–2049CrossRef Ghorai G, Pal M (2016) Faces and dual of m-polar fuzzy planar graphs. J Intell Fuzzy Syst 31(3):2043–2049CrossRef
11.
Zurück zum Zitat Kauffmann A (1980) Introduction to fuzzy arithmetic: theory and applications. Van Nostrand Reinhold, New York Kauffmann A (1980) Introduction to fuzzy arithmetic: theory and applications. Van Nostrand Reinhold, New York
12.
Zurück zum Zitat Khot S, Regev O (2008) Vertex cover might be hard to approximate to within \(2-\in \). J Comput Syst Sci 74:335–349MathSciNetCrossRef Khot S, Regev O (2008) Vertex cover might be hard to approximate to within \(2-\in \). J Comput Syst Sci 74:335–349MathSciNetCrossRef
13.
14.
Zurück zum Zitat Lotfi V, Moon ID (1997) Hybrid heuristics for conditional covering problem. Int J Model Simul 17:185–190CrossRef Lotfi V, Moon ID (1997) Hybrid heuristics for conditional covering problem. Int J Model Simul 17:185–190CrossRef
15.
Zurück zum Zitat Lunday BJ, Smith JC, Gold-berg JB (2005) Algorithms for solving the conditional covering problem on paths. Naval Res Log 52:293–301MathSciNetCrossRef Lunday BJ, Smith JC, Gold-berg JB (2005) Algorithms for solving the conditional covering problem on paths. Naval Res Log 52:293–301MathSciNetCrossRef
16.
Zurück zum Zitat Moon ID, Chaudhry SS (1984) An analysis of network location problems with distance constraints. Manag Sci 30:290–307CrossRef Moon ID, Chaudhry SS (1984) An analysis of network location problems with distance constraints. Manag Sci 30:290–307CrossRef
18.
Zurück zum Zitat Nayeem SMA, Pal M (2005) Shortest path problem on a network with imprecise edge weight. Fuzzy Optim Decis Mak 4(4):293–312MathSciNetCrossRef Nayeem SMA, Pal M (2005) Shortest path problem on a network with imprecise edge weight. Fuzzy Optim Decis Mak 4(4):293–312MathSciNetCrossRef
19.
Zurück zum Zitat Ni Y (2005) Models and algorithm for stochastic minimum weight edge covering problem. In: Proceedings of the fourth international conference on information and management sciences, Yunnan, China, pp 445–451 Ni Y (2005) Models and algorithm for stochastic minimum weight edge covering problem. In: Proceedings of the fourth international conference on information and management sciences, Yunnan, China, pp 445–451
21.
Zurück zum Zitat Pathinathan T, Mike Dison E (2018) Similarity measures of pentagonal fuzzy numbers. Int J Pure Appl Math 119(9):165–175 Pathinathan T, Mike Dison E (2018) Similarity measures of pentagonal fuzzy numbers. Int J Pure Appl Math 119(9):165–175
22.
Zurück zum Zitat Pathinathan T, Ponnivalavan K (2014) Pentagonal fuzzy Number. Int J Comput Algorithm 3:1003–1005MATH Pathinathan T, Ponnivalavan K (2014) Pentagonal fuzzy Number. Int J Comput Algorithm 3:1003–1005MATH
23.
Zurück zum Zitat Pramanik T, Samanta S, Pal M (2016) Interval-valued fuzzy planar graphs. Int J Mach Learn Cybern 7(4):653–664CrossRef Pramanik T, Samanta S, Pal M (2016) Interval-valued fuzzy planar graphs. Int J Mach Learn Cybern 7(4):653–664CrossRef
24.
Zurück zum Zitat Pramanik T, Samanta S, Sarkar B, Pal M (2017) Fuzzy \(\phi \)-tolerance competition graphs. Soft Comput 21(13):3723–3734CrossRef Pramanik T, Samanta S, Sarkar B, Pal M (2017) Fuzzy \(\phi \)-tolerance competition graphs. Soft Comput 21(13):3723–3734CrossRef
26.
Zurück zum Zitat Rashmanlou H, Samanta S, Pal M, Borzooei RA (2015) A study on bipolar fuzzy graphs. J Intell Fuzzy Syst 28(2):571–580MathSciNetCrossRef Rashmanlou H, Samanta S, Pal M, Borzooei RA (2015) A study on bipolar fuzzy graphs. J Intell Fuzzy Syst 28(2):571–580MathSciNetCrossRef
27.
Zurück zum Zitat Rosenfield A (1975) Fuzzy graphs. In: Zadeh LA, Fu KS, Shimura M (eds) Fuzzy sets and their application. Academic press, New York, pp 77–95 Rosenfield A (1975) Fuzzy graphs. In: Zadeh LA, Fu KS, Shimura M (eds) Fuzzy sets and their application. Academic press, New York, pp 77–95
28.
29.
30.
Zurück zum Zitat Samanta S, Pal M, Pal A (2014) New concepts of fuzzy planar graph. Int J Intell Adv Res Artif 3(1):52–59 Samanta S, Pal M, Pal A (2014) New concepts of fuzzy planar graph. Int J Intell Adv Res Artif 3(1):52–59
32.
Zurück zum Zitat Samanta S, Pal M (2011) Fuzzy tolerance graphs. Int J Latest Trends Math 1(2):57–67 Samanta S, Pal M (2011) Fuzzy tolerance graphs. Int J Latest Trends Math 1(2):57–67
33.
Zurück zum Zitat Samanta S, Pal M (2013) Fuzzy information and engineering. In: Fuzzy k-competition graphs and p-competition fuzzy graphs, pp 1–14 Samanta S, Pal M (2013) Fuzzy information and engineering. In: Fuzzy k-competition graphs and p-competition fuzzy graphs, pp 1–14
34.
Zurück zum Zitat Samanta S, Pal M (2015) Fuzzy planar graphs. IEEE Trans Fuzzy Syst 23(6):1936–1942CrossRef Samanta S, Pal M (2015) Fuzzy planar graphs. IEEE Trans Fuzzy Syst 23(6):1936–1942CrossRef
35.
Zurück zum Zitat Saha A, Pal M, Pal TK (2007) Selection of programme slots of television channels for giving advertisement: A graph theoretic approach. Inf Sci 177(12):2480–2492MathSciNetCrossRef Saha A, Pal M, Pal TK (2007) Selection of programme slots of television channels for giving advertisement: A graph theoretic approach. Inf Sci 177(12):2480–2492MathSciNetCrossRef
Metadaten
Titel
Vertex covering problems of fuzzy graphs and their application in CCTV installation
verfasst von
Anushree Bhattacharya
Madhumangal Pal
Publikationsdatum
20.09.2020
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 11/2021
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-020-05324-5

Weitere Artikel der Ausgabe 11/2021

Neural Computing and Applications 11/2021 Zur Ausgabe

Premium Partner