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          "shift": -20,
          "testedWeight": 0,
          "leader": "A costly immature system",
          "leaderScore": 50,
          "originalLeaderRank": 1,
          "ranking": "A costly immature system → B cheaper proven system",
          "tiedLeaders": [
            "A costly immature system",
            "B cheaper proven system"
          ]
        },
        {
          "criterion": "Execution risk",
          "shift": 20,
          "testedWeight": 20,
          "leader": "B cheaper proven system",
          "leaderScore": 60,
          "originalLeaderRank": 2,
          "ranking": "B cheaper proven system → A costly immature system",
          "tiedLeaders": [
            "B cheaper proven system"
          ]
        }
      ]
    },
    {
      "title": "Criterion range and normalised weight",
      "columns": [
        {
          "key": "criterion",
          "label": "Criterion",
          "unit": ""
        },
        {
          "key": "direction",
          "label": "Preference",
          "unit": ""
        },
        {
          "key": "weight",
          "label": "Weight",
          "unit": "%"
        },
        {
          "key": "min",
          "label": "Minimum",
          "unit": ""
        },
        {
          "key": "max",
          "label": "Maximum",
          "unit": ""
        }
      ],
      "rows": [
        {
          "criterion": "Capital cost",
          "direction": "Lower is preferred",
          "weight": 0,
          "min": 50,
          "max": 90
        },
        {
          "criterion": "Strategic impact",
          "direction": "Higher is preferred",
          "weight": 100,
          "min": 80,
          "max": 80
        },
        {
          "criterion": "Readiness",
          "direction": "Higher is preferred",
          "weight": 0,
          "min": 40,
          "max": 90
        },
        {
          "criterion": "Execution risk",
          "direction": "Lower is preferred",
          "weight": 0,
          "min": 10,
          "max": 40
        }
      ]
    }
  ],
  "warnings": [
    "At least one criterion has equal values for every alternative. It contributes the same midpoint value to every score.",
    "The preferred alternative changes in a tested weight case. Treat the base ranking as a preference-dependent result.",
    "When a single weight is 100%, sensitivity distributes any released remainder equally among the other three criteria.",
    "The leading alternatives have tied exact scores. Literal name order is a reproducible display rule and does not establish a strict preference between them.",
    "At least one tested weight case has tied leading scores. The stability count tracks the first display name, rather than strict superiority."
  ],
  "summary": "The leading alternatives are tied: A costly immature system / B cheaper proven system. Each has 50 preference points. The first display name remains first in 4 of eight tested weight shifts. 1 alternative is non-dominated on all four raw criteria. Scores reflect stated preferences and this alternative set.",
  "methods": [
    "Weights are normalised to sum to one. Cost and risk are minimised, impact and readiness maximised.",
    "Each raw criterion maps linearly to 0 to 1 over the current alternative set; equal values receive 0.5.",
    "Weighted score = 100 × sum of normalised weight × normalised criterion value.",
    "A Pareto alternative is not weakly dominated on all four raw criteria with strict dominance on at least one.",
    "Sensitivity shifts each normalised weight by ±20 percentage points, capped at 0 or 100%, and scales other weights proportionally.",
    "Canonical decimal normalisation, contributions, ranking and sensitivity redistribution use exact rational arithmetic. Released weight follows positive supplied weights; equal-thirds redistribution is used only when every other weight is exactly zero.",
    "Tied exact scores use literal name order independent of browser language for consistent display; the model displays every equal leading alternative and implies no strict preference."
  ],
  "limitations": [
    "Compensatory preferences. Scores are not probabilities, returns or forecasts.",
    "Normalisation changes with the alternative set. Scores cannot be compared across changed sets.",
    "No portfolio allocation optimiser, synergy effects or binding budget constraints.",
    "Exact arithmetic concerns the supplied decimal values and preference rule. Numeric chart displays are approximations, and neither measured criteria nor accepted preferences become certain through the computation.",
    "Numerical input precision: use zero or absolute values of at least 0.000000001. Smaller nonzero inputs are rejected explicitly."
  ]
}