Ranking and Investigation of Voice of Customer Index by Applying AHP Method in Local Management of Tehran Metropolis
Bibliographic record
Abstract
Strategic look is a necessity rather than a choice in management. Knowledge, deep thinking, all over view, realistic look and mature management all are necessary for such a look. By achieving modern methods, custom oriented organizations and institutes permanently try to find solutions so that by using those solutions they can attract more customs, therefore they declare their decisions to senior authorities regarding their profits and attitudes. Future belongs to organizations that coordinate with new realities and its necessities. By achieving modern methods, customer-oriented organizations and institutes are constantly trying to search for other solutions to inspire more customers so that based on their interests and attitudes, they voice their opinion to the superiors of the organization. Numerous researches all indicate that customers can change the production line. Therefore, organizations and large companies consider “voice of customer” more than before. They are constantly ready to meet customers’ demands. In this paper, we study the voice of customer in the municipilties of Tehran. Fuzzy multiple criteria decision making (FMCDM) is one of the suitable models of ranking the key criteria of the voice of customer. In fuzzy analytic hierarchical process (Fuzzy AHP) and Fuzzy decision making trial and evaluation laboratory (Fuzzy DEMATAL), we ranked the key criteria of the voice of customer in Iran Telecommunications Manufacturing Companies (ITMC). In methodological and theoretical view, this research had done based on structuralism and historical-creating analysis in macro and guideline levels. This research had done in library- documentary method and qualitative analysis in several ways and its goal is achieving to optimum methodology.
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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 | 0.018 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".