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Measurement of Energy Access Using Fuzzy Logic

Author

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  • Diego Seuret-Jimenez

    (Centro de Investigación en Ingeniería y Ciencias Aplicadas, Universidad Autónoma del Estado de Morelos, Ave. Universidad 1001, Cuernavaca 62209, Morelos, Mexico)

  • Tiare Robles-Bonilla

    (Centro de Investigación en Ingeniería y Ciencias Aplicadas, Universidad Autónoma del Estado de Morelos, Ave. Universidad 1001, Cuernavaca 62209, Morelos, Mexico)

  • Karla G. Cedano

    (Instituto de Energías Renovables, UNAM, Xochicalco s/n, Azteca, Temixco 62588, Morelos, Mexico)

Abstract

This paper describes an innovative method to evaluate energy access in any of size population by applying fuzzy logic. The obtained results allow ranking regions of Mexico according to their overall energy access. The regions were determined by the country’s political division (32 states). The results presented herein are in close correspondence with other studies undertaken. This method is recommended because it is possible to use as an assessment tool due to its representativeness—that is, it poses a heuristic alternative to quantify the level of Energy Access in a particular region through qualitative data. It is also efficient and cost-effective in terms of computer resources. This is extremely important to public policy makers that require more accurate, faster and cheaper methodologies to assess energy access as an indicator of well-being.

Suggested Citation

  • Diego Seuret-Jimenez & Tiare Robles-Bonilla & Karla G. Cedano, 2020. "Measurement of Energy Access Using Fuzzy Logic," Energies, MDPI, vol. 13(12), pages 1-13, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3266-:d:375742
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    References listed on IDEAS

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    1. Butera, Federico Maria & Caputo, Paola & Adhikari, Rajendra Singh & Mele, Renata, 2019. "Energy access in informal settlements. Results of a wide on site survey in Rio De Janeiro," Energy Policy, Elsevier, vol. 134(C).
    2. Spandagos, Constantine & Ng, Tze Ling, 2018. "Fuzzy model of residential energy decision-making considering behavioral economic concepts," Applied Energy, Elsevier, vol. 213(C), pages 611-625.
    3. Phillis, Yannis A. & Grigoroudis, Evangelos & Kouikoglou, Vassilis S., 2011. "Sustainability ranking and improvement of countries," Ecological Economics, Elsevier, vol. 70(3), pages 542-553, January.
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    Cited by:

    1. Indre Siksnelyte-Butkiene, 2021. "A Systematic Literature Review of Indices for Energy Poverty Assessment: A Household Perspective," Sustainability, MDPI, vol. 13(19), pages 1-27, September.

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