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Optimum acceptability of telecommunications networks: a multi-criteria approach

Author

Listed:
  • María Romero

    (National Distance Education University (UNED))

  • María Luisa Cuadrado

    (Polithecnic University of Madrid)

  • Luis Romero

    (National Distance Education University (UNED))

  • Carlos Romero

    (Polithecnic University of Madrid)

Abstract

This paper proposes an aggregated index of acceptability that can establish a “ranking” of the possible candidate hub cities in the design of a telecommunications network. The main advantages of the aggregated index proposed are the following: (a) it takes into account several wide-ranging design criteria, (b) its formulation is given by a lineal mathematical expression, (c) the procedure for calculating the index is very simple, and (d) the candidate hubs can be ranked differently depending on the aggregation structure of the criteria involved. Taking this considerations, the application of the proposed methodology can supplement the information supplied by more sophisticated multicriteria approaches based generally upon 0/1 goal programming. The theory presented is illustrated using a case study taken from the literature.

Suggested Citation

  • María Romero & María Luisa Cuadrado & Luis Romero & Carlos Romero, 2020. "Optimum acceptability of telecommunications networks: a multi-criteria approach," Operational Research, Springer, vol. 20(3), pages 1899-1911, September.
    • Handle: RePEc:spr:operea:v:20:y:2020:i:3:d:10.1007_s12351-018-0387-0
    DOI: 10.1007/s12351-018-0387-0
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    References listed on IDEAS

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    1. Lee, Heeseok & Shi, Yong & Nazem, Sufi M. & Yeol Kang, Sung & Ho Park, Tae & Ho Sohn, Myung, 2001. "Multicriteria hub decision making for rural area telecommunication networks," European Journal of Operational Research, Elsevier, vol. 133(3), pages 483-495, September.
    2. Lin, Chang-Chun, 2007. "A revised framework for deriving preference values from pairwise comparison matrices," European Journal of Operational Research, Elsevier, vol. 176(2), pages 1145-1150, January.
    3. Ehrgott, Matthias & Tenfelde-Podehl, Dagmar, 2003. "Computation of ideal and Nadir values and implications for their use in MCDM methods," European Journal of Operational Research, Elsevier, vol. 151(1), pages 119-139, November.
    4. P. L. Yu, 1973. "A Class of Solutions for Group Decision Problems," Management Science, INFORMS, vol. 19(8), pages 936-946, April.
    5. Jacinto González-Pachón & Carlos Romero, 2007. "Inferring consensus weights from pairwise comparison matrices without suitable properties," Annals of Operations Research, Springer, vol. 154(1), pages 123-132, October.
    6. F. Blasco & E. Cuchillo-Ibáñez & M. A. Morón & C. Romero, 1999. "On the Monotonicity of the Compromise Set in Multicriteria Problems," Journal of Optimization Theory and Applications, Springer, vol. 102(1), pages 69-82, July.
    7. repec:hal:wpaper:hal-00874292 is not listed on IDEAS
    8. Diaz-Balteiro, Luis & Romero, Carlos, 2004. "In search of a natural systems sustainability index," Ecological Economics, Elsevier, vol. 49(3), pages 401-405, July.
    9. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    10. Romero, Carlos, 2004. "A general structure of achievement function for a goal programming model," European Journal of Operational Research, Elsevier, vol. 153(3), pages 675-686, March.
    11. Bernard Roy & Roman Slowinski, 2013. "Questions guiding the choice of a multicriteria decision aiding method," Post-Print hal-00874292, HAL.
    12. Hovanov, Nikolai V. & Kolari, James W. & Sokolov, Mikhail V., 2008. "Deriving weights from general pairwise comparison matrices," Mathematical Social Sciences, Elsevier, vol. 55(2), pages 205-220, March.
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