A hybrid of QFD and AHP-TOPSIS for Durg dumping waste projects
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
Generation of solid waste is the integral consequence of civilization and its management is standing as a big challenge in front of state government at present time. Municipal solid waste in Durg-Bhilai is littered with improper places due to lack of understanding about the scientific importance of garbage and its consequences. Our foremost concern is the selection of appropriate dumping area nearby Durg-Bhilai (C.G.) and for the selection of appropriate dumping area, a multi criteria decision making technique is used. This paper attempts to evaluate 4 dumping areas based on 5 criteria. Analytical hierarchy process (AHP) is used to determine the weighs for each criterion and quality function deployment (QFD) is also implemented. The results indicate that Potiyakala was the best dumping site nearby Durg-Bhilai area.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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