Location of a new banking agency in Sfax: a multi-criteria approach
Bibliographic record
Abstract
Sfax is an important economic pole in Tunisia, distinguished in all economic sectors of activity by its increasing rate of employment. Besides, many new projects are implemented in Sfax as well as in its suburbs. These factors contribute to increase the necessity of resorting to banks either to deposit the collected funds or to obtain credits. Since banks play an important and indispensable role for the promotion of the national economy, Tunisian banks follow propagation policies in order to ensure coverage of Tunisian territory through the installation of news banking agencies. To maximise its profitability, the 'Tunisian Development Bank' carry out a survey in order to choose the best sites to set up its new agencies. In this framework, we will develop in this paper a preference disaggregation approach based on PROMETHEE method. The proposed approach deduces, in an objective way, PROMETHEE's parameters from binary preference relations provided by the decision maker and then allows ranking the different sites for the setting up of the new banking agency.
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How this classification was reachedexpand
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 | 0.010 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.008 |
| Open science | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".