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Title A Novel Study of Q-Rung Orthopair Interval Valued Fuzzy Soft Expert Sets

Author(s) Arfa Shahid Satti

Abstract The research introduces Q-Rung Orthopair Interval Valued Fuzzy Soft Expert Sets, which serve as a robust tool for decision-making. By integrating Interval-Valued Intuitionistic Fuzzy Soft Expert Sets and Q-Rung Orthopair Fuzzy Sets, this approach effectively handles multiple-criteria decision-making problems. The primary objectives of this study involve creating a mathematical framework, introducing new aggregation operators and improving the overall decision-making process. To achieve these goals, the research explores the structure of Q-Rung Orthopair Interval Valued Fuzzy Soft Expert Sets and the integration of aggregation operators. The methodology encompasses the development of a theoretical framework, the Definition of algorithms and the evaluation of their performance. Ultimately, this study contributes to enhancing decision-making efficiency and broadening the application of thesetechniques across various domains.

Type Thesis/Dissertation MS

Faculty Engineering and Computer Science

Department Mathematics

Language English

Publication Date 2024-03-25

Subject Mathematics

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