▸case-01 I need to sort 8 IT vendors into our standardized procurement tiers (Tier 1 Preferred, Tier 2 Acceptable, Tier 3 High Risk, and Tier 4 Unqualified) using multi-criteria sorting across security, cost, technical capabilities, and SLA support. Please evaluate each vendor independently against our category boundaries. Format the response with a header specifying the chosen classification method and category definitions, followed by a summary table listing each vendor, assigned tier, confidence level, and distance to boundary. Conclude with a dedicated section detailing edge-case vendors near category boundaries and their sensitivity. | fail→pass | 22,097 | 28,000 | +27% | 1 | 1 | 0% | 4,701 | 6,876 | +46% | 0 | 0 | — |
▸case-02 We are evaluating six commercial real estate properties and need to assign each into predefined investment categories (Grade A Core, Grade B Value-Add, Grade C Opportunistic, and Grade D Distressed) based on cap rate, occupancy, location score, and building condition. Please run a multi-criteria classification on these candidates. Output the results showing the categorization methodology used, defined category criteria, a structured matrix displaying each property's grade, confidence score, and boundary distance metric, along with an analysis highlighting borderline properties near category cutoffs. | fail→fail | 26,439 | 22,352 | -15% | 1 | 1 | 0% | 6,248 | 5,714 | -9% | 0 | 0 | — |
▸case-03 Please review 10 job applicants for a principal software engineer position and place them into established candidate pools: Tier A (Direct Interview), Tier B (Secondary Pool), Tier C (Hold), and Tier D (Reject), taking into account technical skill match, years of leadership, compensation expectations, and domain experience. In your report, specify the sorting technique applied and bracket definitions. Present a candidate table containing candidate names, assigned category, confidence level, and boundary distance, followed by a summary of borderline candidates sitting close to category boundaries. | fail→pass | 28,174 | 21,042 | -25% | 1 | 1 | 0% | 5,349 | 5,089 | -5% | 0 | 0 | — |
▸case-04 Rank 5 cloud service providers from 1st to 5th place for a total enterprise migration contract using multi-criteria performance scores across latency, cost, uptime, and compliance. | pass→fail | 17,659 | 25,078 | +42% | 1 | 1 | 0% | 3,399 | 6,795 | +100% | 0 | 0 | — |
▸case-05 Identify the non-dominated Pareto optimal frontier among 10 structural engineering bridge designs balancing total cost and max load strength. | pass→pass | 17,176 | 27,647 | +61% | 1 | 1 | 0% | 3,808 | 6,770 | +78% | 0 | 0 | — |
▸case-06 Allocate a $10M capital expenditure budget across 15 R&D expansion projects to maximize expected ROI subject to budget and resource constraints. | pass→fail | 24,148 | 28,364 | +17% | 1 | 1 | 0% | 4,884 | 6,590 | +35% | 0 | 0 | — |
▸case-13 We have 50 software vendors applying for an enterprise security contract. We need to assign eligible vendors into Gold, Silver, and Bronze tiers. However, 20 vendors lack required SOC 2 Type II compliance. Should we run full ELECTRE-Tri multi-criteria sorting across all 50 vendors immediately, or apply a two-stage tactic? | pass→pass | 14,468 | 10,730 | -26% | 1 | 1 | 0% | 2,245 | 1,986 | -12% | 0 | 0 | — |
▸case-07 We have 12 electronics suppliers for our smartphone assembly line that must be assigned to three quality tiers: Approved, Conditional, and Disqualified. Our engineering team wants to use ELECTRE-Tri to compare suppliers against predefined category profiles (b1 for Approved/Conditional cutoff, b2 for Conditional/Disqualified cutoff) across component defect rate, delivery lead time, and ISO 9001 compliance. Supplier S-04 lands directly on the boundary profile b1. Some reviewers want to force a strict ranking among suppliers, but we need independent category membership. How should S-04 be classified under pessimistic vs optimistic assignment rules? | fail→fail | 26,428 | 27,341 | +3% | 1 | 1 | 0% | 5,072 | 6,226 | +23% | 0 | 0 | — |
▸case-08 We are evaluating 15 municipal transit expansion proposals for the Regional Transit Authority and assigning them to action bands: Priority Funding, Secondary Review, or Deferred. We want to use AHPSort with 5 criteria (rider capacity growth, cost per passenger, environmental impact, construction duration, equity index). Some stakeholders suggested comparing proposals head-to-head, but we have established absolute reference profiles. Show the classification format for these proposals. | fail→pass | 19,325 | 13,104 | -32% | 1 | 1 | 0% | 4,013 | 3,186 | -21% | 0 | 0 | — |
▸case-09 A state environmental agency needs to categorize 9 municipal water treatment facilities into Compliance Tier 1 (Exemplary), Tier 2 (Satisfactory), and Tier 3 (Non-Compliant) using FlowSort based on turbidity, heavy metal concentrations, and flow capacity. Facility W-07 has scores equal to the limiting profile between Tier 1 and Tier 2. Present the sorting results in the mandated standard output format. | fail→pass | 19,571 | 24,561 | +25% | 1 | 1 | 0% | 4,389 | 5,941 | +35% | 0 | 0 | — |
▸case-10 A regional credit union wants to evaluate 20 loan applications and classify them into Risk Tier A (Auto-Approve), Tier B (Manual Underwrite), and Tier C (Decline) using Dominance-based Rough Set Approach (DRSA). The team gathered data on debt-to-income ratio, credit score, loan amount, and years of employment. Provide the structured output report for this classification. | fail→pass | 23,193 | 14,943 | -36% | 1 | 1 | 0% | 4,714 | 3,943 | -16% | 0 | 0 | — |
▸case-11 We are running a multi-criteria category sorting workflow to categorize 14 potential retail store locations into Prime, Acceptable, and Unsuitable. Initialize and update the YAML state ledger object for tracking progress through strategy execution from initial state to completion. | fail→pass | 19,676 | 23,332 | +19% | 1 | 1 | 0% | 4,307 | 6,119 | +42% | 0 | 0 | — |
▸case-12 Our logistics team is setting up a category sorting strategy to classify 30 distribution centers into Tier A, Tier B, and Tier C. They drafted 12 distinct evaluation criteria (fuel cost, driver availability, warehouse area, proximity to highway, tax rate, local labor cost, zoning status, rail access, expansion capability, security rating, climate risk, software integration). Is 12 criteria within the standard budget guidance for criterion-definition in this classification strategy, or should it be consolidated? | pass→pass | 12,710 | 3,955 | -69% | 1 | 1 | 0% | 1,968 | 1,385 | -30% | 0 | 0 | — |
▸case-14 In a medical device sorting exercise using FlowSort to place 7 prototype monitors into Class I (Safe), Class II (Caution), and Class III (High Hazard), Device M-03's score is within 0.01 of the boundary limit between Class I and Class II. Explain how this borderline case should be reported in the output structure. | pass→pass | 14,733 | 6,148 | -58% | 1 | 1 | 0% | 2,519 | 1,673 | -34% | 0 | 0 | — |
▸case-15 An agricultural cooperative is sorting 10 wheat batches into Grade 1, Grade 2, and Grade 3 based on moisture content, protein percentage, and foreign matter. If Batch #4 is removed from the dataset, does the assigned category of Batch #2 change under independent category sorting? | pass→pass | 5,229 | 5,947 | +14% | 1 | 1 | 0% | 886 | 1,597 | +80% | 0 | 0 | — |
▸case-16 When performing ELECTRE-Tri classification on power grid sub-stations to assign them to Maintenance Urgency categories (Urgent, Moderate, Low), Substation S-12 is incomparability-based on the boundary. What is the fundamental difference between pessimistic (outranking) and optimistic (disoutranking) assignment rules for borderline or incomparable cases? | fail→pass | 14,178 | 14,093 | -1% | 1 | 1 | 0% | 2,849 | 3,252 | +14% | 0 | 0 | — |
▸case-17 We are establishing category thresholds for hospital triage sorting (Level 1 Immediate, Level 2 Urgent, Level 3 Non-Urgent). What step in the classification execution guidance must be performed before scoring individual patient cases, and how many threshold sets are budgeted? | pass→pass | 6,662 | 3,205 | -52% | 1 | 1 | 0% | 1,290 | 1,176 | -9% | 0 | 0 | — |
▸case-22 We are rendering the Classification Table for 5 cybersecurity tools evaluated into Tier A, Tier B, Tier C. What exact set of 4 column headers must be present in the markdown classification table? | fail→pass | 5,624 | 1,944 | -65% | 1 | 1 | 0% | 947 | 996 | +5% | 0 | 0 | — |
▸case-18 Our urban planning committee needs to categorize 8 transit corridor proposals into High Viability, Moderate Viability, and Low Viability. Which MCDA methodology types are suitable for category sorting rather than pairwise ranking? | pass→pass | 13,957 | 13,400 | -4% | 1 | 1 | 0% | 2,314 | 2,694 | +16% | 0 | 0 | — |
▸case-19 In our procurement software, we want to look up which available tactic in category sorting allows us to eliminate non-qualifying suppliers before performing full multi-criteria scoring on survivors. Which tactic handles this hybrid workflow? | pass→pass | 20,538 | 2,129 | -90% | 1 | 1 | 0% | 1,656 | 846 | -49% | 0 | 0 | — |
▸case-20 We need a comprehensive tactic that covers building a complete scoring matrix from criterion definition through weighting, scoring, normalization, and sensitivity testing for sorting commercial loans into approval tiers. Which tactic provides this complete matrix construction process? | fail→pass | 19,159 | 2,766 | -86% | 1 | 1 | 0% | 3,437 | 1,030 | -70% | 0 | 0 | — |
▸case-21 When initializing a state ledger for a new category sorting session evaluating 12 renewable energy projects into Tier 1 and Tier 2, what should be the initial values for `status`, `categories_defined`, and `classified`? | fail→pass | 6,420 | 2,420 | -62% | 1 | 1 | 0% | 1,048 | 1,021 | -3% | 0 | 0 | — |