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Prioritization of Mosque Facility Site Selection Criteria Under Fuzzy Environment

  • Abdurrahman Yagmur ToprakliEmail author
  • Mehmet Kabak
  • Eren Özceylan
  • Aylin Adem
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 896)

Abstract

Mosques are important buildings to conduct daily worship together with the community, which is precious to the belief in Islam. Simultaneously, architectural standing of the mosques is important to embellish the city landscape. The place of the mosques, which is very important both in terms of religious and public use, is an important decision that must be specified carefully. The location of the mosque should correspond to the needs of the public and at the same time should not distort the architectural structure of the city. The needs of the city can be identified as both physical and social needs. Accordingly, this paper deals with the prioritization of the criteria affecting the selection of the mosque location. Criteria affecting the choice of Mosque location was adapted from Abu Dhabi Mosque Development Regulations Planning section as foremost developed instance for Turkey. Prioritization of the selection criteria of the mosque was carried out under fuzzy environment. In decision matrices where, triangular fuzzy numbers were employed; criteria weights were determined by geometric mean and alpha cut methods.

Keywords

Site selection Mosque Prioritization Analytic hierarchy process Fuzzy logic Multi-criteria 

References

  1. 1.
  2. 2.
    Darani, S.K., Eslami, A.A., Jabbari, M., Asefi, H.: Parking lot site selection using a fuzzy AHP-TOPSIS framework in Tuyserkan, Iran. J. Urban Plan. Dev. 144(3) (2018)Google Scholar
  3. 3.
    Deveci, M., Canıtez, F., Gökaşar, I.: WASPAS and TOPSIS based interval type-2 fuzzy MCDM method for a selection of a car sharing station. Sustain. Cities Soc. 41, 777–791 (2018)CrossRefGoogle Scholar
  4. 4.
    Wu, Y., Liu, L., Gao, J., Chu, H., Xu, C.: An extended VIKOR-based approach for pumped hydro energy storage plant site selection with heterogeneous information. Information 8(3), 106 (2017)CrossRefGoogle Scholar
  5. 5.
    Villacreses, G., Goana, G., Martinez-Gomez, J., Jjion, D.J.: Wind farms suitability location using geographical information system (GIS), based on multi-criteria decision making (MCDM) methods: The case of continental Ecuador. Renew. Energy 109, 275–286 (2017)CrossRefGoogle Scholar
  6. 6.
    Facchinetti, G., Ricci, R.G.: A characterization of a general class of ranking functions on triangular fuzzy numbers. Fuzzy Sets Syst. 146(2), 297–312 (2004)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Zimmermann, H.J.: Fuzzy set theory. Wiley Interdisc. Rev.: Comput. Stat. 2(3), 317–333 (2010)CrossRefGoogle Scholar
  8. 8.
    Kabak, M., Dağdeviren, M., Burmaoğlu, S.: A hybrid SWOT-FANP model for energy policy making in Turkey. Energy Sources Part B-Econ. Plan. Policy 11, 6 (2016)Google Scholar
  9. 9.
    Taylan, O., Kaya, D., Demirbas, A.: An integrated multi attribute decision model for energy efficiency processes in petrochemical industry applying fuzzy set theory. Energy Convers. Manag. 117, 501–512 (2016)CrossRefGoogle Scholar
  10. 10.
    Ebrahimnejad, A., Verdegay, J. L.: Fuzzy set theory. In: Fuzzy Sets-Based Methods and Techniques for Modern Analytics. Springer, Cham (2018)CrossRefGoogle Scholar
  11. 11.
    Saaty, T.L.: A scaling method for priorities in hierarchical structures. J. Math. Psychol. 15(3), 234–281 (1977)MathSciNetCrossRefGoogle Scholar
  12. 12.
    Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill International, New York (1980)zbMATHGoogle Scholar
  13. 13.
    Saaty, T. L.: Analytic hierarchy process. In: Encyclopedia of Operations Research and Management Science. Springer, Boston (2013)CrossRefGoogle Scholar
  14. 14.
    Vargas, L.G.: An overview of the analytic hierarchy process and its applications. Eur. J. Oper. Res. 48(1), 2–8 (1990)CrossRefGoogle Scholar
  15. 15.
    Govindan, K., Kaliyan, M., Kannan, D., Haq, A.N.: Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process. Int. J. Prod. Econ. 147, 555–568 (2014)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Abdurrahman Yagmur Toprakli
    • 1
    Email author
  • Mehmet Kabak
    • 2
  • Eren Özceylan
    • 3
  • Aylin Adem
    • 4
  1. 1.Architecture DepartmentGazi UniversityAnkaraTurkey
  2. 2.IE DepartmentGazi UniversityAnkaraTurkey
  3. 3.IE DepartmentGaziantep UniversityGaziantepTurkey
  4. 4.Department of Administration and OrganizationGazi UniversityAnkaraTurkey

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