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Updated: Jun 15, 2025

Developing a Rat Model for Bipolar Disorder
Published on: May 2, 2025
A novel approach to group decision-making using generalized bipolar neutrosophic sets
Aliya Fahmi1, Aziz Khan2, Thabet Abdeljawad2,3,4,5,6,7
1Department of Mathematics and Statistics, The University of Faisalabad, Pakistan.
This study introduces novel Aczél-Alsina aggregation operators for generalized bipolar neutrosophic sets, enhancing group decision-making under uncertainty. The new methods effectively handle ambiguous and conflicting information in complex scenarios.
Area of Science:
- Decision Sciences
- Fuzzy Set Theory
- Information Fusion
Background:
- Group decision-making often involves uncertainty and conflicting information.
- Existing aggregation methods may not adequately address the complexities of bipolar neutrosophic environments.
- Generalized bipolar neutrosophic sets (GBNS) offer a framework for representing uncertain and bipolar information.
Purpose of the Study:
- To introduce operational laws for Aczél-Alsina aggregation within the GBNS framework.
- To propose novel aggregation operators for enhanced group decision-making.
- To provide a robust method for handling ambiguity and conflicting information in decision processes.
Main Methods:
- Development of Aczél-Alsina aggregation operational laws for GBNS.
- Introduction of six novel aggregation operators: GBNAAWA, GBNAAOWA, GBNAAHWA, GBNAAWG, GBNAAOWG, and GBNAAHWG.
- Validation through case studies, illustrative examples, comparative analysis, and sensitivity analysis.
Main Results:
- The proposed Aczél-Alsina aggregation operators effectively integrate with GBNS.
- Demonstrated robustness and adaptability of the operators in diverse decision contexts.
- Successful handling of ambiguity and conflicting information in group decision-making scenarios.
Conclusions:
- The integration of Aczél-Alsina aggregation with GBNS provides a novel and effective approach to decision-making.
- The proposed operators offer a valuable tool for addressing complex problems with uncertain and bipolar information.
- The study highlights potential for future research in advanced decision support systems.
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