Dontopedia

Calculate Weighted Score Function

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

Calculate Weighted Score Function has 43 facts recorded in Dontopedia across 5 references, with 7 live disagreements.

43 facts·26 predicates·5 sources·7 in dispute

Mostly:rdf:type(5), has parameter(4), returns(3)

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Inbound mentions (9)

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callsFunctionCalls Function(2)

calleeCallee(1)

callsCalls(1)

containsFunctionContains Function(1)

containsPythonScriptContains Python Script(1)

executesBeforeExecutes Before(1)

producedByProduced by(1)

usedByUsed by(1)

Other facts (43)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

43 facts
PredicateValueRef
Rdf:typeHelper Function[2]
Rdf:typeFunction[3]
Rdf:typePython Function[4]
Rdf:typeFunction[5]
Rdf:typeHelper Function[5]
Has ParameterOption Scores Parameter[3]
Has ParameterWeights Parameter[3]
Has ParameterOption Scores Parameter[5]
Has ParameterWeights Parameter[5]
ReturnsWeighted Score[3]
ReturnsWeighted Score[4]
ReturnsWeighted Score[5]
Has DocstringCalculate Weighted Score Docstring[3]
Has DocstringCalculate the weighted score for an option.[4]
Has DocstringReturn Weighted Score Docstring[5]
Called byMain Function[1]
Called byMain Function[5]
Function Namecalculate_weighted_score[3]
Function Namecalculate_weighted_score[4]
Has Parameter DescriptionOption Scores Param Desc[3]
Has Parameter DescriptionWeights Param Desc[3]
ParameterOption Scores Parameter[4]
ParameterWeights Parameter[4]
Docstring ParamOption Scores Parameter[4]
Docstring ParamWeights Parameter[4]
RequiresOption Scores Dict[5]
RequiresWeights Dict[5]
Is Called byMain Function[2]
Uses AlgorithmWeighted Sum Algorithm[3]
Has Return DescriptionReturn Desc[3]
Inverse ofMain Function Calls It[3]
Assumes Valid Inputtrue[3]
Is Helper Functiontrue[3]
Uses Sum Functiontrue[3]
Pure Functiontrue[3]
PurposeCalculate Weighted Score[4]
Written inPython[4]
ComputesWeighted Sum[4]
Has Return TypeFloat[4]
Uses FunctionSum Function[5]
Iterates OverOption Scores Keys[5]
MultipliesFactor Score by Weight[5]
AssumesMatching Keys[5]

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.

calledBybeam/4138d5af-2f28-48bd-82f2-ede483c92f8c
ex:main-function
typebeam/f785aaf8-c8fc-4628-9503-45b6c5e5c24b
ex:helper-function
isCalledBybeam/f785aaf8-c8fc-4628-9503-45b6c5e5c24b
ex:main-function
typebeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
ex:Function
functionNamebeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
calculate_weighted_score
hasParameterbeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
ex:option-scores-parameter
hasParameterbeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
ex:weights-parameter
returnsbeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
ex:weighted-score
hasDocstringbeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
ex:calculate-weighted-score-docstring
usesAlgorithmbeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
ex:weighted-sum-algorithm
hasParameterDescriptionbeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
ex:option-scores-param-desc
hasParameterDescriptionbeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
ex:weights-param-desc
hasReturnDescriptionbeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
ex:return-desc
inverseOfbeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
ex:main-function-calls-it
assumesValidInputbeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
true
isHelperFunctionbeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
true
usesSumFunctionbeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
true
pureFunctionbeam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
true
typebeam/3c36acbb-efcf-4392-bf34-e49ecdf16d27
ex:PythonFunction
functionNamebeam/3c36acbb-efcf-4392-bf34-e49ecdf16d27
calculate_weighted_score
parameterbeam/3c36acbb-efcf-4392-bf34-e49ecdf16d27
ex:option-scores-parameter
parameterbeam/3c36acbb-efcf-4392-bf34-e49ecdf16d27
ex:weights-parameter
purposebeam/3c36acbb-efcf-4392-bf34-e49ecdf16d27
ex:calculate-weighted-score
returnsbeam/3c36acbb-efcf-4392-bf34-e49ecdf16d27
ex:weighted-score
writtenInbeam/3c36acbb-efcf-4392-bf34-e49ecdf16d27
ex:python
computesbeam/3c36acbb-efcf-4392-bf34-e49ecdf16d27
ex:weighted-sum
hasDocstringbeam/3c36acbb-efcf-4392-bf34-e49ecdf16d27
Calculate the weighted score for an option.
docstringParambeam/3c36acbb-efcf-4392-bf34-e49ecdf16d27
ex:option-scores-parameter
docstringParambeam/3c36acbb-efcf-4392-bf34-e49ecdf16d27
ex:weights-parameter
hasReturnTypebeam/3c36acbb-efcf-4392-bf34-e49ecdf16d27
ex:float
typebeam/e3ef8583-5439-4485-8856-6415be355e7a
ex:Function
hasParameterbeam/e3ef8583-5439-4485-8856-6415be355e7a
ex:option-scores-parameter
hasParameterbeam/e3ef8583-5439-4485-8856-6415be355e7a
ex:weights-parameter
returnsbeam/e3ef8583-5439-4485-8856-6415be355e7a
ex:weighted-score
usesFunctionbeam/e3ef8583-5439-4485-8856-6415be355e7a
ex:sum-function
iteratesOverbeam/e3ef8583-5439-4485-8856-6415be355e7a
ex:option-scores-keys
multipliesbeam/e3ef8583-5439-4485-8856-6415be355e7a
ex:factor-score-by-weight
calledBybeam/e3ef8583-5439-4485-8856-6415be355e7a
ex:main-function
typebeam/e3ef8583-5439-4485-8856-6415be355e7a
ex:HelperFunction
hasDocstringbeam/e3ef8583-5439-4485-8856-6415be355e7a
ex:return-weighted-score-docstring
assumesbeam/e3ef8583-5439-4485-8856-6415be355e7a
ex:matching-keys
requiresbeam/e3ef8583-5439-4485-8856-6415be355e7a
ex:option-scores-dict
requiresbeam/e3ef8583-5439-4485-8856-6415be355e7a
ex:weights-dict

References (5)

5 references
  1. ctx: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. ctx: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
  3. ctx:claims/beam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
    • full textbeam-chunk
      text/plain1 KBdoc:beam/a36315cf-d5cc-4ab4-b11c-37d7dca382ea
      Show excerpt
      [Turn 1207] Assistant: Great! Let's go ahead and run through the script with the example you provided. We'll start by defining the factors and their weights, then input the scores for each option, and finally calculate the weighted scores.
  4. ctx:claims/beam/3c36acbb-efcf-4392-bf34-e49ecdf16d27
  5. ctx:claims/beam/e3ef8583-5439-4485-8856-6415be355e7a
    • full textbeam-chunk
      text/plain1 KBdoc:beam/e3ef8583-5439-4485-8856-6415be355e7a
      Show excerpt
      :return: Weighted score """ weighted_score = sum(option_scores[factor] * weights[factor] for factor in option_scores) return weighted_score def main(): # Define the factors and their weights factors = ['cost', 'scal

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