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Fuzzy Mic-Mac Analysis on Factors Affecting the Bank Queuing Systems

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2020
Authors:
Gayathri S., Remica Aggarwal, V. K. Aggarwal
10.5120/ijca2020919815

Gayathri S., Remica Aggarwal and V K Aggarwal. Fuzzy Mic-Mac Analysis on Factors Affecting the Bank Queuing Systems. International Journal of Computer Applications 177(33):35-42, January 2020. BibTeX

@article{10.5120/ijca2020919815,
	author = {Gayathri S. and Remica Aggarwal and V. K. Aggarwal},
	title = {Fuzzy Mic-Mac Analysis on Factors Affecting the Bank Queuing Systems},
	journal = {International Journal of Computer Applications},
	issue_date = {January 2020},
	volume = {177},
	number = {33},
	month = {Jan},
	year = {2020},
	issn = {0975-8887},
	pages = {35-42},
	numpages = {8},
	url = {http://www.ijcaonline.org/archives/volume177/number33/31116-2020919815},
	doi = {10.5120/ijca2020919815},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Present research focuses on identifying various barriers to bank queuing systems. It thereafter studies the inter-relationship amongst them both by ISM methodology as well as fuzzy ISM methodology. The comparison of approaches is a novel attempt made in the field of bank queuing related research work to the best of author knowledge.

References

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Keywords

Bank Queuing systems; Mic- Mac Analysis, Fuzzy Mic-Mac Analysis; ISM methodology