Research Article

An Attempt to Study the Possible Inter-relationships amongst various Selection Criteria of Main Battle Tank through ISM Methodology

by  Mukesh Bansal, Remica Aggarwal
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Issue 31
Published: Jan 2020
Authors: Mukesh Bansal, Remica Aggarwal
10.5120/ijca2020919651
PDF

Mukesh Bansal, Remica Aggarwal . An Attempt to Study the Possible Inter-relationships amongst various Selection Criteria of Main Battle Tank through ISM Methodology. International Journal of Computer Applications. 177, 31 (Jan 2020), 12-16. DOI=10.5120/ijca2020919651

                        @article{ 10.5120/ijca2020919651,
                        author  = { Mukesh Bansal,Remica Aggarwal },
                        title   = { An Attempt to Study the Possible Inter-relationships amongst various Selection Criteria of Main Battle Tank through ISM Methodology },
                        journal = { International Journal of Computer Applications },
                        year    = { 2020 },
                        volume  = { 177 },
                        number  = { 31 },
                        pages   = { 12-16 },
                        doi     = { 10.5120/ijca2020919651 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2020
                        %A Mukesh Bansal
                        %A Remica Aggarwal
                        %T An Attempt to Study the Possible Inter-relationships amongst various Selection Criteria of Main Battle Tank through ISM Methodology%T 
                        %J International Journal of Computer Applications
                        %V 177
                        %N 31
                        %P 12-16
                        %R 10.5120/ijca2020919651
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Main battle tanks (MBT) have always been in the heart of all military campaigns and have enabled armies to fight across the full spectrum of war. Countries need to consider the complex interactions between criteria or factors governing the selection of main battle tank. In order to define the interaction among the criteria , this study aims to use the Interpretive Structural modeling (ISM) methodology . The criteria have been determined by consulting a group of experts.

References
  • Madhu, V. and Bhat , T.B. 2011. Armour Protection and Affordable Protection for Futuristic Combat Vehicles, Defence Science Journal, 61(4), 394-402.
  • Bhat, T.B.; Madhu, V. & Gupta, N.K. 2007. Perspectives in armour materials and designs. Indian National Academy of Engineers, IIT Delhi, New Delhi.
  • Rust, Michael.2010. Passive protection concepts. In IBD Deisenroth Engineering, Eurosatory, 33-37.
  • Madhu, V. 2010 . Advanced armour materials and technologies for battlefield systems. In International Conference on Armoured Vehicles India, New Delhi, India.
  • Army Materials Research: Transforming land combat through new technologies. AMPTIAC Quarterly, 2004, 8(4), 1-130.
  • NATO, Future of Armoured Forces, NATO Army Armaments Group. November 2002.
  • Ogorkiewicz, R.M. 2002. The Outlook for Tanks. International Defense Review, 41-44.
  • Foss, C.F. 2013. Armoured Shift. Jane’s Defence Weekly, 22-27.
  • Hornback, P. 1998.The Wheel Versus Track Dilemma. Armor Magazine, 33-34.
  • Anthony, H.M. 2012. Close Combat Vehicle and Leopard 2 Main Battle Tank: Back In The Heavyweight Fight. Master of Defence Studies, Canadian Forces College.
  • Dağdeviren, M.; Yavuz, S. & Kılınç, N. 2009.Weapon selection using the AHP and TOPSIS methods under fuzzy environment. Expert Syst. Appl., 36(4), 8143-8151. doi: 10.1016/j.eswa.2008.10.016
  • Lee, J.; Kang, S.-H.; Rosenberger J. & Kim, S.B. 2010. A hybrid approach of goal programming for weapon systems selection. Comput. Ind. Eng., 58(3), 521–527. doi: 10.1016/j.cie.2009.11.013
  • Gupta, R. & Bhushan, N.1996. Performance evaluation of battle tanks. Def. Sci. J., 46(2), 115-119. doi: 10.14429/dsj.46.4058
  • Cheng, C.-H. & Lin, Y. 2002. Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation. Eur. J. Oper. Res., 142(1), 174–186. doi: 10.1016/S0377-2217(01)00280-6
  • Yong, D. & Cheng, S. 2006. Evaluating the main battle tank using fuzzy number arithmetic operations. Def. Sci. J., 56(2), 251-257. doi: 10.14429/dsj.56.1887
  • Jiang, J.; Li, X.; Zhou, Z.-J.; Xu, D.-L. & Chen, Y.-W.2011. Weapon System Capability Assessment under uncertainty based on the evidential reasoning approach. Expert Syst. Appl., 38(11), 13773–13784. doi: 10.1016/j.eswa.2011.04.179
  • Defence IQ. Global Armoured Vehicles Market Report 2015. International Armoured Vehicles XV, London, UK, 2014.
  • Warfield , J.N. 1974. Developing interconnection matrices in Structural Modeling ,. IEEE Transactions on System , Man , and Cybernetics , SMC-4(1) , 81-87.
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Main battle tank ISM methodology Armoured vehicles

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