Applying the FDEMATEL technique in developing and prioritizing strategies of economic participation development in urban management of Ahvaz Metropolis
Bibliographic record
Abstract
Generally speaking, the severe financial constraints of the municipalities on the one hand, and the inefficiency of state investment companies on the other hand, affirm the necessity of private sector participation in the efficiency of providing services to cities.The performance of the private sector in comparison with the public sector has its own properties and characteristics, the most important of which are high performance and access to diverse resources.Valuable international experience in the field of municipalities' utilization of private sector capacities to implement urban services projects confirms this issue.The present study was conducted aiming to apply fuzzy multi-criteria decision-making technique (FMCDM) in formulating and prioritizing strategies for developing economic participation in urban management of Ahvaz Metropolis.The main research approach was developmental-applied, descriptive, analytical, and survey research.Based on the SWOT analysis, identifying and evaluating the current situation were done and then, according to the identified criteria, four strategies were developed.Finally, using FDEMATEL technique, strategies were prioritized.The research results show that the strategies such as doing pathological study in Ahvaz municipality investment; designing and providing investment packages; increasing the positive interaction with the executive and necessary devices with the participation of other interested organizations for the promotion of services and performing tasks based on laws, regulations and guidelines delegated to the municipality; forecasting the incentive system to reduce the risk of projects; providing Cadastre and GIS; designing a database of investors and urban projects; setting up an investment facilitation team with the participation of departments related to the municipality; and identifying regular investment capacities related to inherent duties of the municipality are among the most important strategies in developing economic participation in Ahwaz Metropolis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".