TOPSIS Decision Analysis Writer
Produces a full ranking report from TOPSIS output
TOPSIS Decision Analysis Writer
Produces a full ranking report from TOPSIS output
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Produces a complete manuscript-ready Methods + Results text from your TOPSIS analysis outputs (normalized decision matrix, distances to positive/negative ideal solutions, closeness coefficients). Provides a ranking table and interprets which criteria the best and worst alternatives excelled or lagged in. Suitable for: researchers working on multi-criteria ranking problems such as supplier selection, product/service comparison, or clinical decision support.
為什麼我們推薦這個技能
An editor’s pick for turning raw TOPSIS statistics into publication-ready Methods and Results text. It stands out by explicitly handling benefit and cost criteria, validating coefficient and ranking consistency, explaining best and worst alternatives, and adding a focused sensitivity-analysis prompt.
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研究Entropy-TOPSIS-ML + Reviewer Objection
Produces a complete Methods + Results report from your entropy weighting + TOPSIS ranking + ML classifier (XGBoost, Random Forest, Logistic Regression, etc.) outputs. Correctly classifies AUC interpretation (Hosmer & Lemeshow criteria) and, if the train/test performance gap is large, states the overfitting risk explicitly. It also pre-identifies at least 4 objections journal reviewers frequently raise (e.g., "how was class imbalance handled," "no external validation set was used") and suggests a defense sentence for each. Suitable for: researchers working in health informatics, clinical risk prediction, or hybrid MCDM-ML methodology who want methodological robustness before journal submission.
研究AHP Criteria Weighting Writer
Converts the user's AHP (Analytic Hierarchy Process) pairwise comparison matrix outputs (criteria weights, consistency ratio) into an academic "Criteria Weighting" section ready to drop straight into a manuscript. If the consistency ratio (CR) exceeds 0.10, it states this openly rather than hiding it. Suitable for: researchers who use MCDM methods such as TOPSIS/VIKOR and determine criteria weights with AHP, and graduate students.
研究Kaplan-Meier Survival Analysis Writer
Produces a complete Methods + Results text from your Kaplan-Meier survival curve, log-rank test, and Cox regression output. Correctly interprets hazard ratios, explicitly flags a high censoring rate, and reminds you to check the proportional hazards assumption for Cox models. Who it's for: researchers working with clinical/epidemiological survival data.
