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Assessment of Structural Systems to Design Earthquake Resistance Buildings by Employing Multi-Attribute Decision-Making Method Based on the Bipolar Complex Fuzzy Dombi Prioritized Aggregation Operators

Author

Listed:
  • Zhiping Xu

    (E-Commerce Department, Wuxi Vocational College of Science and Technology, Wuxi 214028, China)

  • Ubaid ur Rehman

    (Department of Mathematics and Statistics, International Islamic University Islamabad, Islamabad P.O. Box 44000, Pakistan)

  • Tahir Mahmood

    (Department of Mathematics and Statistics, International Islamic University Islamabad, Islamabad P.O. Box 44000, Pakistan)

  • Jabbar Ahmmad

    (Department of Mathematics and Statistics, International Islamic University Islamabad, Islamabad P.O. Box 44000, Pakistan)

  • Yun Jin

    (Tourism Department, Wuxi Vocational College of Science and Technology, Wuxi 214028, China)

Abstract

An earthquake is a natural phenomenon that occurs when two tectonic plates in the earth’s crust move against each other. This movement creates seismic waves that can cause the ground to shake, sometimes resulting in damage to buildings and infrastructure. It is important to be prepared for earthquakes, particularly if you live in an area that is at high risk for seismic activity. This includes having an emergency kit, knowing how to shut off utilities, having a plan in place for what to do in the event of an earthquake, and most importantly, constructing earthquake resistance buildings. The assessment and the ranking of structural systems to design earthquake resistance buildings is a MADM (multi-attribute decision-making) dilemma. Consequently, in this script, we initiate the method of MADM under the bipolar complex fuzzy (BCF) information. For this method, we devise BCF Dombi prioritized averaging (BCFDPA), BCF Dombi prioritized weighted averaging (BCFDPWA), BCF Dombi prioritized geometric (BCFDPG), and BCF Dombi prioritized weighted geometric (BCFDPPWG) operators by utilizing the Dombi aggregation operator (AO) with BCF information. After that, by using artificial data, we assess the structural systems to design earthquake resistance buildings with the assistance of the invented method of MADM. To exhibit the dominancy and supremacy of the elaborated work, the advantages, sensitive examination, graphical representation, and comparative study are described in this script.

Suggested Citation

  • Zhiping Xu & Ubaid ur Rehman & Tahir Mahmood & Jabbar Ahmmad & Yun Jin, 2023. "Assessment of Structural Systems to Design Earthquake Resistance Buildings by Employing Multi-Attribute Decision-Making Method Based on the Bipolar Complex Fuzzy Dombi Prioritized Aggregation Operator," Mathematics, MDPI, vol. 11(10), pages 1-22, May.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:10:p:2226-:d:1142967
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    References listed on IDEAS

    as
    1. Tahir Mahmood & Ubaid ur Rehman & Zeeshan Ali & Muhammad Aslam & Ronnason Chinram, 2022. "Identification and Classification of Aggregation Operators Using Bipolar Complex Fuzzy Settings and Their Application in Decision Support Systems," Mathematics, MDPI, vol. 10(10), pages 1-19, May.
    2. Tahir Mahmood & Ubaid ur Rehman & Jabbar Ahmmad & Gustavo Santos-García, 2021. "Bipolar Complex Fuzzy Hamacher Aggregation Operators and Their Applications in Multi-Attribute Decision Making," Mathematics, MDPI, vol. 10(1), pages 1-26, December.
    3. Bo Hu & Lvqing Bi & Songsong Dai, 2019. "Complex Fuzzy Power Aggregation Operators," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-7, December.
    4. Songsong Dai & Lvqing Bi & Bo Hu, 2020. "Interval-Valued Complex Fuzzy Geometric Aggregation Operators and Their Application to Decision Making," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-10, July.
    5. Zeng, Shouzhen & Zhou, Jiamin & Zhang, Chonghui & Merigó, José M., 2022. "Intuitionistic fuzzy social network hybrid MCDM model for an assessment of digital reforms of manufacturing industry in China," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
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