Significance and classification of AI-driven techniques in telecommunication sectors based on interval-valued bipolar fuzzy soft aggregation operators

Abstract

In the context of telecommunications, AI enhances network efficiency by predicting and managing traffic. In many decision-making scenarios, decision-makers choose the more flexible structure that can handle all kinds of information. Bipolarity is the only case in which we can discuss the positive and negative aspects of certain scenarios. On one side, AI enhances network efficiency, proactive maintenance, and personalized customer experience but on the other hand, it has also some negative aspects (1) implementing AI infrastructure can be costly (2) Uses of AI in telecommunication may raise data security concerns and user privacy (3) AI can lead to potential issues if system fail or misused. To cover these issues, the idea of an interval-valued bipolar fuzzy soft set (IVBFSS) has been developed that can deal with both positive and negative aspects of AI. Some basic operational laws for IVBPFS numbers are developed. Several fundamental aggregation operators have been introduced like arithmetic average and geometric average aggregation operators, indicating our main contribution. An algorithm is developed to discuss the application perspective of the initiated approaches. We have utilized these developed notions to classify AI-driven techniques in the telecommunications sector to discuss the applicability of the initiated notions. A comparative analysis of the developed approaches shows the advantages and superiority of the introduced work.

Design and Simulation Analysis of a Fuzzy Reasoning System in Traditional Martial Arts Move Attack and Defense Decision-Making

“…This can easily be integrated into the decision-making process of martial artists (Pang et al, 2024). An example of the application of Multi-Criteria Decision Making in sports is the referee selections, and this has been solved using fuzzy rule-based systems (Ahmmad et al, 2025). The fuzzy sets are applied to address the uncertainty associated with assessing player behavior and game dynamics.…”

Design and Simulation Analysis of a Fuzzy Reasoning System in Traditional Martial Arts Move Attack and Defense Decision-Making

“…This can easily be integrated into the decision-making process of martial artists (Pang et al, 2024). An example of the application of Multi-Criteria Decision Making in sports is the referee selections, and this has been solved using fuzzy rule-based systems (Ahmmad et al, 2025). The fuzzy sets are applied to address the uncertainty associated with assessing player behavior and game dynamics.…”

Design and Simulation Analysis of a Fuzzy Reasoning System in Traditional Martial Arts Move Attack and Defense Decision-Making

“…This can easily be integrated into the decision-making process of martial artists (Pang et al, 2024). An example of the application of Multi-Criteria Decision Making in sports is the referee selections, and this has been solved using fuzzy rule-based systems (Ahmmad et al, 2025). The fuzzy sets are applied to address the uncertainty associated with assessing player behavior and game dynamics.…”

Design and Simulation Analysis of a Fuzzy Reasoning System in Traditional Martial Arts Move Attack and Defense Decision-Making

“…This can easily be integrated into the decision-making process of martial artists (Pang et al, 2024). An example of the application of Multi-Criteria Decision Making in sports is the referee selections, and this has been solved using fuzzy rule-based systems (Ahmmad et al, 2025). The fuzzy sets are applied to address the uncertainty associated with assessing player behavior and game dynamics.…”