Science Journal of Applied Mathematics and Statistics

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On Application of E – Linmap Model for Optimal Decision Making on Location of VIP Fast Food Restaurant in Akwa Ibom State, Nigeria

Received: 13 August 2016    Accepted: 22 August 2016    Published: 28 September 2016
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Abstract

In this paper, the extended LINMAP model developed in (Effanga and Okpara, 2015) is applied to make optimal decision on location of VIP fast food restaurant in Akwa State of Nigeria. The management of the VIP fast food restaurant considered extending their services to five towns (Uyo, Eket, Ikot Ekpene, Oron and Ikot Abasi) in Akwa Ibom State. The attributes considered in the evaluation of the locations are Population, Number of retail outlets, Average family income, Start-up cost, and Taxes. The solution of our model identifies Eket as the best town to operate the business followed by Ikot Abasi, Uyo, Oron and Ikot Ekpene.

DOI 10.11648/j.sjams.20160405.15
Published in Science Journal of Applied Mathematics and Statistics (Volume 4, Issue 5, October 2016)
Page(s) 225-228
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Minkowski Metric, Optimal Decision, Utility Function, Ideal Point, Attributes

References
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[2] Effanga, E. O. and Okpara, V. I. (2015): Extension of linmap model for the optimal estimation of individual utility function to minkowski distance metric of order 3. Journal Mathematical and Computing Science.
[3] Hwang, C. L. and K. P. Yoon (1981) Multiple Attributes Decision Making: Methods and Applications; A State of the Art Survey. 1st Ed. Springer: Berlin Heidelberg 259pp.
[4] Jahanshahloo, G. R.; M. Zohrehbandian and S. Abbasian-Naghneh (2011) Using Interactive Multiobjective Methods to Solve Multi Attribute Decision Making Problems. Australian Journal of Basic and Applied Sciences, 5(9): pp. 298-308.
[5] Li, D. F. (2008). Multi-attribute group decision making methods with intuitionistic fuzzy sets. Decision and Game theory in management with intuitionistic fuzzy sets. Springer Berlin Heidelberg. 308 (2014), 251-288.
[6] Li, D. F. and Yang, J. B. (2004). Fuzzy linear programming technique for multiattribute group decision making in fuzzy environments. Journal of Information Sciences, 158, 263-275.
[7] Li, L., Yuan, X. H. and Z. Q. Xia (2007). Multi-criteria fuzzy decision making methods based on intuitionistic fuzzy sets. Journal of Computer and Systems sciences, 73, 84-88.
[8] Triantaphyllou, E. (2000) Multi-criteria Decision making Methods: A comparative Study. London: Kluwer Academic publishers.
[9] Tuli, B.; A. Sinharay and Bijan Sarkar (2011) Exploratory Analysis of Project Selection through MCDM. ICOGM-10. pp. 128-133.
[10] Vazifedost, H.; M. J. Taghipouryan and M. Jarad (2011) SET for Evaluating and Ranking Banks from Viewpoint of Customers. Applied Mathematical Sciences, vol. 5, No. 11, pp. 541-556.
[11] Xia, H. C., Li, D. F., Zhou, J. Y. and Wang, J. M. (2006). Fuzzy LINMAP method for multi-attribute decision making under fuzzy environments. Journal of Computer and System Sciences, 72 (2006), 741-759.
[12] Yeh, C. H. (2003) The Selection of Multiattribute Decision Making Methods for Scholarship Student Selection. International Journal of Selection and Assessment, 11(4): 289-296.
[13] Yoon, K. P. and C. L. Ywang (1995) Multiple Attribute Decision Making: An Introduction, Sage University Papers, 75p.
[14] Zeinab, D.; M. M. Pedram and J. Shandbehzadeh (2010) A Multicriteria Decision Making Based Method For Ranking Sequential Patterns. Proceedings of the International Multiconference of Engineers and Computer Scientists. Vol. 1 IMECS 2010, Hong Kong.
Author Information
  • Department of Statistics, Faculty of Physical & Applied Sciences, University of Calabar, Calabar, Nigeria

  • Department of Statistics, Faculty of Physical & Applied Sciences, University of Calabar, Calabar, Nigeria

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  • APA Style

    Effanga Effanga Okon, Okpara Virtue Ihuoma. (2016). On Application of E – Linmap Model for Optimal Decision Making on Location of VIP Fast Food Restaurant in Akwa Ibom State, Nigeria. Science Journal of Applied Mathematics and Statistics, 4(5), 225-228. https://doi.org/10.11648/j.sjams.20160405.15

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    ACS Style

    Effanga Effanga Okon; Okpara Virtue Ihuoma. On Application of E – Linmap Model for Optimal Decision Making on Location of VIP Fast Food Restaurant in Akwa Ibom State, Nigeria. Sci. J. Appl. Math. Stat. 2016, 4(5), 225-228. doi: 10.11648/j.sjams.20160405.15

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    AMA Style

    Effanga Effanga Okon, Okpara Virtue Ihuoma. On Application of E – Linmap Model for Optimal Decision Making on Location of VIP Fast Food Restaurant in Akwa Ibom State, Nigeria. Sci J Appl Math Stat. 2016;4(5):225-228. doi: 10.11648/j.sjams.20160405.15

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  • @article{10.11648/j.sjams.20160405.15,
      author = {Effanga Effanga Okon and Okpara Virtue Ihuoma},
      title = {On Application of E – Linmap Model for Optimal Decision Making on Location of VIP Fast Food Restaurant in Akwa Ibom State, Nigeria},
      journal = {Science Journal of Applied Mathematics and Statistics},
      volume = {4},
      number = {5},
      pages = {225-228},
      doi = {10.11648/j.sjams.20160405.15},
      url = {https://doi.org/10.11648/j.sjams.20160405.15},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.sjams.20160405.15},
      abstract = {In this paper, the extended LINMAP model developed in (Effanga and Okpara, 2015) is applied to make optimal decision on location of VIP fast food restaurant in Akwa State of Nigeria. The management of the VIP fast food restaurant considered extending their services to five towns (Uyo, Eket, Ikot Ekpene, Oron and Ikot Abasi) in Akwa Ibom State. The attributes considered in the evaluation of the locations are Population, Number of retail outlets, Average family income, Start-up cost, and Taxes. The solution of our model identifies Eket as the best town to operate the business followed by Ikot Abasi, Uyo, Oron and Ikot Ekpene.},
     year = {2016}
    }
    

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    AB  - In this paper, the extended LINMAP model developed in (Effanga and Okpara, 2015) is applied to make optimal decision on location of VIP fast food restaurant in Akwa State of Nigeria. The management of the VIP fast food restaurant considered extending their services to five towns (Uyo, Eket, Ikot Ekpene, Oron and Ikot Abasi) in Akwa Ibom State. The attributes considered in the evaluation of the locations are Population, Number of retail outlets, Average family income, Start-up cost, and Taxes. The solution of our model identifies Eket as the best town to operate the business followed by Ikot Abasi, Uyo, Oron and Ikot Ekpene.
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