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Pythagorean fuzzy ordered weighted averaging aggregation operator and their application to multiple attribute group decision-making

Author

Listed:
  • K. Rahman

    (Hazara University)

  • S. Abdullah

    (Abdul Wali Khan University)

  • A. Ali

    (Hazara University)

  • F. Amin

    (Hazara University)

Abstract

The objective of the present work is twofold. First, Pythagorean fuzzy ordered weighted averaging (PFOWA) aggregation operator is introduced along with its desirable properties, namely commutatively, idempotency, boundedness and monotonicity. Finally, the proposed operator is applied to decision making problems to show the validity, practicality and effectiveness of the new approach. The main advantage of using the proposed method is that this method gives more accurate results as compared to the existing methods.

Suggested Citation

  • K. Rahman & S. Abdullah & A. Ali & F. Amin, 2020. "Pythagorean fuzzy ordered weighted averaging aggregation operator and their application to multiple attribute group decision-making," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 8(1), pages 61-77, May.
    • Handle: RePEc:spr:eurjdp:v:8:y:2020:i:1:d:10.1007_s40070-020-00110-z
    DOI: 10.1007/s40070-020-00110-z
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    Cited by:

    1. Hakan Gökhan Gündoğdu & Ahmet Aytekin & Şura Toptancı & Selçuk Korucuk & Çağlar Karamaşa, 2023. "Environmental, social, and governance risks and environmentally sensitive competitive strategies: A case study of a multinational logistics company," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4874-4906, November.

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