Book Review: Multicriteria Decision-Making Under Conditions Of Uncertainty: A Fuzzy Set Perspective. John Wiley & Sons. ISBN: 978–1-119–53,492-1.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This overview is focused on the book reflecting research results on the fundamentals of the theory of multicriteria (multiobjective and multiattribute) decision-making under conditions of uncertainty. The facet of uncertainty is formalized based on a possibilistic (not probabilistic) approach. These results are based on the fuzzy set theory and its fusion with other branches of mathematics of uncertainty. The overview identifies the crucial arguments behind the ultimate need for this theory, reflects the book’s primary objectives, identifies the key possibilities delivered by the presented book's results, and elaborates on real-world problems solved by applying the findings reported in the book. The thorough critical analysis summarizes the advantages and limitations of the main results covered by the book.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it