A novel fermatean fuzzy Z-number FRANK-WASPAS model for evaluating AI-powered narrative intelligence systems
Muhammad Shazib Hameed, Barira Saba, Sobia Zulfiqar, Muhammad Kamran, John T Mendy, Bander Almutairi · 2026
Read A novel fermatean fuzzy Z-number FRANK-WASPAS model for evaluating AI-powered narrative intelligence systems by Muhammad Shazib Hameed, Barira Saba, Sobia Zulfiqar, Muhammad Kamran, John T Mendy, Bander Almutairi (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13547376.txt.
Description
Muhammad Shazib Hameed and colleagues proposed in 2026 a way to judge AI storytelling systems, tools meant to carry family stories and cultural identity across generations. Rating such systems means weighing story coherence, personal connection, ethical trust, flexibility, and staying power under deep doubt, where expert judgments are partial and trust in each rating varies. Their model layers a flexible fuzzy number system over an established ranking method, so doubt and trust are carried through the math.
Applied to a set of storytelling system choices, every method tested agreed on the best option. Yet the new model kept more information and explained its verdict more clearly. The authors offer it as decision support for storytelling technology that is emotionally aware and ethically guided.
Catalog record
| CREATOR | Muhammad Shazib Hameed, Barira Saba, Sobia Zulfiqar, Muhammad Kamran, John T Mendy, Bander Almutairi |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 108485 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |