Real-world decision support in hospitality using pessimistic multi-granulation roughness of cubic intuitionistic fuzzy soft sets
Asma Bibi, Shahida Bashir, Muhammad Shabir, Rabia Mazhar, Muhammad I Syam, Rizwan Gul · 2026
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Description
Asma Bibi and five co-authors build a decision-support model for hotel choice in this 2026 paper. Hotel ratings mix clear scores with vague, hesitant, or partial judgments, and older fuzzy and rough set tools often fail to hold all of that doubt at once. The authors combine several of those tools into one frame meant for messy real-world appraisals.
Their model merges interval-valued membership, non-membership scores, and soft relations into rough bounds that take a cautious view of each option. They define the math for these bounds, study how the operators behave, and add a way to measure how alike two options are. Two step-by-step procedures then rank the choices. A hotel selection case, checked against other methods and varied inputs, gave steady rankings, which the authors offer as a risk-aware aid for hospitality managers.
Catalog record
| CREATOR | Asma Bibi, Shahida Bashir, Muhammad Shabir, Rabia Mazhar, Muhammad I Syam, Rizwan Gul |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 52 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |