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Calculate Weighted Score

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-05.)

Calculate Weighted Score has 4 facts recorded in Dontopedia across 2 references.

4 facts·4 predicates·2 sources

Mostly:purpose(1), has parameter(1), rdf:type(1)

Maturity scale raw canonical shape-checked rule-derived certified

Purposepurpose

Has ParameterhasParameter

Rdf:typerdf:type

  • Function[2]all time · F785aaf8 C8fc 4628 9503 45b6c5e5c24b

Defined ElsewheredefinedElsewhere

  • true[1]all time · 4138d5af 2f28 48bd 82f2 Ede483c92f8c

Inbound mentions (3)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

purposePurpose(2)

callsFunctionCalls Function(1)

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

4 undated
—
definedElsewherebeam/4138d5af-2f28-48bd-82f2-ede483c92f8c
true
—
hasParameterbeam/f785aaf8-c8fc-4628-9503-45b6c5e5c24b
ex:option-scores
—
purposebeam/f785aaf8-c8fc-4628-9503-45b6c5e5c24b
ex:compute-weighted-total
—
typebeam/f785aaf8-c8fc-4628-9503-45b6c5e5c24b
ex:function

References (2)

2 references
  1. [1]beam-chunk1 fact
    customctx:claims/beam/4138d5af-2f28-48bd-82f2-ede483c92f8c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/4138d5af-2f28-48bd-82f2-ede483c92f8c
      Show excerpt
      :param weights: Dictionary of weights for each factor :return: Weighted score """ weighted_score = sum(option_scores[factor] * weights[factor] for factor in option_scores) return weighted_score def main(): # Define …
  2. [2]beam-chunk3 facts
    customctx:claims/beam/f785aaf8-c8fc-4628-9503-45b6c5e5c24b
    • full textbeam-chunk
      text/plain1 KBdoc:beam/f785aaf8-c8fc-4628-9503-45b6c5e5c24b
      Show excerpt
      score = int(input(f"Enter the score for {factor} (1-10): ")) option_scores[factor] = score options[option_name] = option_scores # Calculate weighted scores weighted_scores = {} for o…

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