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Risk Matrix

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)

Risk Matrix has 94 facts recorded in Dontopedia across 7 references, with 9 live disagreements.

94 facts·34 predicates·7 sources·9 in dispute

Mostly:has method(30), has attribute(11), rdf:type(8)

Maturity scale raw canonical shape-checked rule-derived certified

Has Methodin disputehasMethod

Rdf:typein disputerdf:type

  • Class[6]all time · 15f5ae11 2a66 4326 8407 Bcfd3e49959e
  • Class[1]all time · 4c4a8728 B50f 4c60 9057 57b1ac27df71
  • Class[7]all time · 70b6aa0d 61b2 4d2e B961 53ecd5219d85
  • Class[5]all time · 9d838c90 F9f2 4fb6 81a7 2c658ac6c1ff
  • Class[2]all time · Ac38b3af B289 465b 91d0 701fb9d2734a
  • Python Class[4]all time · Be092f78 7939 41e4 8f29 90df388ad774
  • Python Class[3]all time · 2dc729cf Bc7d 4795 B6f5 493954ab5d90
  • Risk Assessment Tool[5]all time · 9d838c90 F9f2 4fb6 81a7 2c658ac6c1ff

Has Attributein disputehasAttribute

Encapsulatesin disputeencapsulates

Method Orderin disputemethodOrder

Designed forin disputedesignedFor

Method ofin disputemethodOf

Initializes Within disputeinitializesWith

Importsin disputeimports

Rdfs:labelrdfs:label

  • RiskMatrix[6]all time · 15f5ae11 2a66 4326 8407 Bcfd3e49959e
  • RiskMatrix[3]all time · 2dc729cf Bc7d 4795 B6f5 493954ab5d90
  • RiskMatrix[2]all time · Ac38b3af B289 465b 91d0 701fb9d2734a
  • RiskMatrix[4]all time · Be092f78 7939 41e4 8f29 90df388ad774

Defined indefinedIn

  • Code[2]all time · Ac38b3af B289 465b 91d0 701fb9d2734a

Instantiated WithinstantiatedWith

  • Risks[2]all time · Ac38b3af B289 465b 91d0 701fb9d2734a

Inbound mentions (16)

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.

describesDescribes(2)

instantiatesInstantiates(2)

callsMethodOfCalls Method of(1)

createsInstanceCreates Instance(1)

definedBeforeDefined Before(1)

definedBeforeClassDefined Before Class(1)

demonstratesDemonstrates(1)

demonstratesUsageDemonstrates Usage(1)

initializesInitializes(1)

instanceOfInstance of(1)

isComponentOfIs Component of(1)

isInstanceIs Instance(1)

isManagedByIs Managed by(1)

rdf:typeRdf:type(1)

Other facts (22)

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.

22 facts
PredicateValueRef
No DocstringTrue[6]
Requires PreconditionRisks Parameter Must Be List[6]
No Error HandlingTrue[6]
Uses Self ParameterTrue[6]
Implemented inPython[6]
Exposes InterfacePublic Methods[5]
Instance ofSimulation[5]
Uses Real Time Datatrue[4]
Manages EntityRisk Factor[3]
Maintains StateFactor List[3]
DescribesManager of Risk Factor List[3]
Constructor SignatureSelf[1]
Public MethodsAdd Factor Identify Issues Get Factors Reset Factors[1]
AggregatesRisk Factor[1]
Stores in AttributeSelf.factors[1]
Methods SequenceInit Then Add Factor Then Identify Issues Then Get Factors Then Reset Factors[1]
Attribute InitializationSelf Factors[1]
Assigns to ListSelf Factors[1]
Initializes AttributeFactors[1]
Has ComponentRisk Factor[1]
Has Example InstanceRisk Matrix[1]
ContainsRisk Factor[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.

94 undated
—
aggregatesbeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:RiskFactor
—
assignsToListbeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:self_factors
—
attributeInitializationbeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:self_factors
—
constructorSignaturebeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:self
—
containsbeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:RiskFactor
—
definedInbeam/ac38b3af-b289-465b-91d0-701fb9d2734a
ex:code
—
describesbeam/2dc729cf-bc7d-4795-b6f5-493954ab5d90
ex:manager-of-RiskFactor-list
—
designedForbeam/be092f78-7939-41e4-8f29-90df388ad774
ex:dynamic_threshold_adjustment
—
designedForbeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:RealTimeRiskAssessment
—
encapsulatesbeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:DataProcessingLogic
—
encapsulatesbeam/ac38b3af-b289-465b-91d0-701fb9d2734a
ex:risk data
—
exposesInterfacebeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:publicMethods
—
hasAttributebeam/be092f78-7939-41e4-8f29-90df388ad774
ex:data_history
—
hasAttributebeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:data_points
—
hasAttributebeam/be092f78-7939-41e4-8f29-90df388ad774
ex:factors
—
hasAttributebeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:factors
—
hasAttributebeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:polyorder
—
hasAttributebeam/15f5ae11-2a66-4326-8407-bcfd3e49959e
ex:self.risks
—
hasAttributebeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:smoothing_factor
—
hasAttributebeam/70b6aa0d-61b2-4d2e-b961-53ecd5219d85
ex:threshold
—
hasAttributebeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:threshold
—
hasAttributebeam/be092f78-7939-41e4-8f29-90df388ad774
ex:threshold
—
hasAttributebeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:window_length
—
hasComponentbeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:RiskFactor
—
hasExampleInstancebeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:risk_matrix
—
hasMethodbeam/be092f78-7939-41e4-8f29-90df388ad774
ex:add_factor
—
hasMethodbeam/2dc729cf-bc7d-4795-b6f5-493954ab5d90
ex:add_factor
—
hasMethodbeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:add_factor
—
hasMethodbeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:adjust_threshold
—
hasMethodbeam/be092f78-7939-41e4-8f29-90df388ad774
ex:adjust_threshold
—
hasMethodbeam/ac38b3af-b289-465b-91d0-701fb9d2734a
ex:assess_risks
—
hasMethodbeam/15f5ae11-2a66-4326-8407-bcfd3e49959e
ex:assess_risks
—
hasMethodbeam/be092f78-7939-41e4-8f29-90df388ad774
ex:collect_real_time_data
—
hasMethodbeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:collect_real_time_data
—
hasMethodbeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:get_factors
—
hasMethodbeam/70b6aa0d-61b2-4d2e-b961-53ecd5219d85
ex:get_factors
—
hasMethodbeam/2dc729cf-bc7d-4795-b6f5-493954ab5d90
ex:get_factors
—
hasMethodbeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:identify_issues
—
hasMethodbeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:identify_issues
—
hasMethodbeam/2dc729cf-bc7d-4795-b6f5-493954ab5d90
ex:identify_issues
—
hasMethodbeam/70b6aa0d-61b2-4d2e-b961-53ecd5219d85
ex:identify_issues
—
hasMethodbeam/15f5ae11-2a66-4326-8407-bcfd3e49959e
ex:__init__
—
hasMethodbeam/ac38b3af-b289-465b-91d0-701fb9d2734a
ex:__init__
—
hasMethodbeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:__init__
—
hasMethodbeam/be092f78-7939-41e4-8f29-90df388ad774
ex:__init__
—
hasMethodbeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:__init__
—
hasMethodbeam/15f5ae11-2a66-4326-8407-bcfd3e49959e
ex:mitigate_risks
—
hasMethodbeam/ac38b3af-b289-465b-91d0-701fb9d2734a
ex:mitigate_risks
—
hasMethodbeam/15f5ae11-2a66-4326-8407-bcfd3e49959e
ex:prioritize_risks
—
hasMethodbeam/ac38b3af-b289-465b-91d0-701fb9d2734a
ex:prioritize_risks
—
hasMethodbeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:reset_factors
—
hasMethodbeam/2dc729cf-bc7d-4795-b6f5-493954ab5d90
ex:reset_factors
—
hasMethodbeam/70b6aa0d-61b2-4d2e-b961-53ecd5219d85
ex:reset_factors
—
hasMethodbeam/be092f78-7939-41e4-8f29-90df388ad774
ex:smooth_data
—
hasMethodbeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:smooth_data
—
implementedInbeam/15f5ae11-2a66-4326-8407-bcfd3e49959e
ex:Python
—
importsbeam/be092f78-7939-41e4-8f29-90df388ad774
ex:numpy
—
importsbeam/be092f78-7939-41e4-8f29-90df388ad774
ex:scipy.signal.savgol_filter
—
initializesAttributebeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:factors
—
initializesWithbeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:data_points_empty_list
—
initializesWithbeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:polyorder_3
—
initializesWithbeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:smoothing_factor_01
—
initializesWithbeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:threshold_05
—
initializesWithbeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:window_length_7
—
instanceOfbeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:Simulation
—
instantiatedWithbeam/ac38b3af-b289-465b-91d0-701fb9d2734a
ex:risks
—
maintainsStatebeam/2dc729cf-bc7d-4795-b6f5-493954ab5d90
ex:factor-list
—
managesEntitybeam/2dc729cf-bc7d-4795-b6f5-493954ab5d90
ex:RiskFactor
—
methodOfbeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:adjust_threshold
—
methodOfbeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:collect_real_time_data
—
methodOfbeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:identify_issues
—
methodOfbeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:smooth_data
—
methodOrderbeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:__init___add_factor___identify_issues___get_factors___reset_factors
—
methodOrderbeam/ac38b3af-b289-465b-91d0-701fb9d2734a
ex:sequence
—
methodsSequencebeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:__init___then_add_factor___then_identify_issues___then_get_factors___then_reset_factors
—
noDocstringbeam/15f5ae11-2a66-4326-8407-bcfd3e49959e
ex:true
—
noErrorHandlingbeam/15f5ae11-2a66-4326-8407-bcfd3e49959e
ex:true
—
publicMethodsbeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:add_factor_identify_issues_get_factors_reset_factors
—
labelbeam/15f5ae11-2a66-4326-8407-bcfd3e49959e
RiskMatrix
—
labelbeam/2dc729cf-bc7d-4795-b6f5-493954ab5d90
RiskMatrix
—
labelbeam/ac38b3af-b289-465b-91d0-701fb9d2734a
RiskMatrix
—
labelbeam/be092f78-7939-41e4-8f29-90df388ad774
RiskMatrix
—
typebeam/15f5ae11-2a66-4326-8407-bcfd3e49959e
ex:Class
—
typebeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:Class
—
typebeam/70b6aa0d-61b2-4d2e-b961-53ecd5219d85
ex:Class
—
typebeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:Class
—
typebeam/ac38b3af-b289-465b-91d0-701fb9d2734a
ex:Class
—
typebeam/be092f78-7939-41e4-8f29-90df388ad774
ex:PythonClass
—
typebeam/2dc729cf-bc7d-4795-b6f5-493954ab5d90
ex:PythonClass
—
typebeam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
ex:RiskAssessmentTool
—
requiresPreconditionbeam/15f5ae11-2a66-4326-8407-bcfd3e49959e
ex:risks-parameter-must-be-list
—
storesInAttributebeam/4c4a8728-b50f-4c60-9057-57b1ac27df71
ex:self.factors
—
usesRealTimeDatabeam/be092f78-7939-41e4-8f29-90df388ad774
true
—
usesSelfParameterbeam/15f5ae11-2a66-4326-8407-bcfd3e49959e
ex:true

References (7)

7 references
  1. [1]beam-chunk19 facts
    customctx:claims/beam/4c4a8728-b50f-4c60-9057-57b1ac27df71
    • full textbeam-chunk
      text/plain1 KBdoc:beam/4c4a8728-b50f-4c60-9057-57b1ac27df71
      Show excerpt
      self.issues = issues # Dictionary of issues with their likelihood and impact class RiskMatrix: def __init__(self): self.factors = [] # List of RiskFactor objects def add_factor(self, name, issues): fa…
  2. [2]Ac38b3af B289 465b 91d0 701fb9d2734a10 facts
    customctx:claims/beam/ac38b3af-b289-465b-91d0-701fb9d2734a
  3. [3]beam-chunk9 facts
    customctx:claims/beam/2dc729cf-bc7d-4795-b6f5-493954ab5d90
    • full textbeam-chunk
      text/plain1 KBdoc:beam/2dc729cf-bc7d-4795-b6f5-493954ab5d90
      Show excerpt
      "Insufficient Bandwidth": (0.4, 0.6) } ) # Add more factors... # Identify issues identified_issues = risk_matrix.identify_issues() for issue in identified_issues: print(f"Issue in {issue[0]}: {issue[1]}, Likelihood: {issue…
  4. [4]beam-chunk14 facts
    customctx:claims/beam/be092f78-7939-41e4-8f29-90df388ad774
    • full textbeam-chunk
      text/plain1 KBdoc:beam/be092f78-7939-41e4-8f29-90df388ad774
      Show excerpt
      Here's a simplified example using Python to dynamically adjust the identification threshold based on real-time data: ```python import numpy as np from scipy.signal import savgol_filter class RiskMatrix: def __init__(self): sel…
  5. [5]beam-chunk25 facts
    customctx:claims/beam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
    • full textbeam-chunk
      text/plain945 Bdoc:beam/9d838c90-f9f2-4fb6-81a7-2c658ac6c1ff
      Show excerpt
      "Insufficient Bandwidth": (0.4, .6) } ) # Simulate real-time data collection for i in range(100): risk_matrix.collect_real_time_data(np.random.normal(loc=0.5, scale=0.1)) risk_matrix.adjust_threshold() identified_is…
  6. [6]15f5ae11 2a66 4326 8407 Bcfd3e49959e12 facts
    customctx:claims/beam/15f5ae11-2a66-4326-8407-bcfd3e49959e
  7. [7]beam-chunk5 facts
    customctx:claims/beam/70b6aa0d-61b2-4d2e-b961-53ecd5219d85
    • full textbeam-chunk
      text/plain1 KBdoc:beam/70b6aa0d-61b2-4d2e-b961-53ecd5219d85
      Show excerpt
      self.threshold *= 0.9 # Decrease threshold if trend is positive elif trend < 0: self.threshold *= 1.1 # Increase threshold if trend is negative self.threshold = max(0.1, min(self.threshold, 0.9)) #…

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