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<p>Broadband includes various high-capacity transmission technologies designed to efficiently transmit data, voice, and video over long distances at high speeds. Common transmission mediums include coaxial cables, fiber-optic cables, and radio waves. Selecting the most suitable broadband technology involves balancing infrastructure costs and customers’ perceived benefits, which presents a significant challenge due to the difficulty in directly comparing perceived utility with network infrastructure expenses. This study proposes a real-option-based Three-Way Decision (TWD) model using Tripolar Fuzzy Sets (TFS) to address this complexity. TFS combines elements of Intuitionistic Fuzzy Sets (IFS) and Bipolar Fuzzy Sets (BFS), offering a more refined framework for handling complex decision-making scenarios where traditional models fall short. The proposed methodology employs multi-attribute value theory to evaluate broadband technologies, considering both project risk and cost. We define key operational laws and introduce a Tripolar Fuzzy Sugeno–Weber Weighted Average (TFSWWA) operator under Sugeno–Weber (SW) operations to aggregate evaluation data. The TFSWWA operator accounts for varying decision attitudes and enhances the rationality of the decision process. Conditional Probability (CP) is incorporated within the TWD framework using the TOPSIS approach to analyze broadband technology selection. Loss functions (LF) are computed through the TFSWWA operator to estimate expected losses, guiding the final decision toward minimizing these losses. The proposed model is applied to rank and analyze Fiber to the Cabinet, Fiber to the Home, Digital Subscriber Line, and 5G technologies. Comparative analysis with existing models and a sensitivity analysis demonstrate the effectiveness and robustness of the proposed approach.</p>

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Broadband Technology Selection Based on Three-Way Decision-Making Model Under the Tripolar Fuzzy Information

  • 期刊论文

  • 发表日期：

    2025年7月18日

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  • Abrar Almjally,
  • Mudassir Khan,
  • Muhammad Ismail,
  • Asghar Khan

摘要

Broadband includes various high-capacity transmission technologies designed to efficiently transmit data, voice, and video over long distances at high speeds. Common transmission mediums include coaxial cables, fiber-optic cables, and radio waves. Selecting the most suitable broadband technology involves balancing infrastructure costs and customers’ perceived benefits, which presents a significant challenge due to the difficulty in directly comparing perceived utility with network infrastructure expenses. This study proposes a real-option-based Three-Way Decision (TWD) model using Tripolar Fuzzy Sets (TFS) to address this complexity. TFS combines elements of Intuitionistic Fuzzy Sets (IFS) and Bipolar Fuzzy Sets (BFS), offering a more refined framework for handling complex decision-making scenarios where traditional models fall short. The proposed methodology employs multi-attribute value theory to evaluate broadband technologies, considering both project risk and cost. We define key operational laws and introduce a Tripolar Fuzzy Sugeno–Weber Weighted Average (TFSWWA) operator under Sugeno–Weber (SW) operations to aggregate evaluation data. The TFSWWA operator accounts for varying decision attitudes and enhances the rationality of the decision process. Conditional Probability (CP) is incorporated within the TWD framework using the TOPSIS approach to analyze broadband technology selection. Loss functions (LF) are computed through the TFSWWA operator to estimate expected losses, guiding the final decision toward minimizing these losses. The proposed model is applied to rank and analyze Fiber to the Cabinet, Fiber to the Home, Digital Subscriber Line, and 5G technologies. Comparative analysis with existing models and a sensitivity analysis demonstrate the effectiveness and robustness of the proposed approach.