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Cubic Intuitionistic Fuzzy Topology with Application to Uncertain Supply Chain Management

Author

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  • Muhammad Riaz
  • Khadija Akmal
  • Yahya Almalki
  • Daud Ahmad
  • Arunava Majumder

Abstract

The concept of the cubic intuitionistic fuzzy set is an effective hybrid model for modeling uncertainties with an intuitionistic fuzzy set and an interval-valued intuitionistic fuzzy set, simultaneously. The primary objective of this study is to develop a topological structure on cubic intuitionistic fuzzy sets with P-order and R-order as well as to define some fundamental characteristics and significant results with illustrations. Taking advantage of topological data analysis with cubic intuitionistic information, novel multicriteria group decision-making methods are developed for an uncertain supply chain management. Algorithms 1 and 2 are proposed for extensions of the weighted product model and the choice value method towards a cubic intuitionistic fuzzy environment, respectively. A comparative analysis is also given to discuss the validity and advantages of the proposed techniques.

Suggested Citation

  • Muhammad Riaz & Khadija Akmal & Yahya Almalki & Daud Ahmad & Arunava Majumder, 2022. "Cubic Intuitionistic Fuzzy Topology with Application to Uncertain Supply Chain Management," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-22, November.
    • Handle: RePEc:hin:jnlmpe:9631579
    DOI: 10.1155/2022/9631579
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    Cited by:

    1. Mahmoud Z. Mistarihi & Ghazi M. Magableh, 2023. "Unveiling Supply Chain Nervousness: A Strategic Framework for Disruption Management under Fuzzy Environment," Sustainability, MDPI, vol. 15(14), pages 1-26, July.

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