ahp

2.4.2 • Public • Published

ahp.js

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This node.js module is a library for Analytic Hierarchy Process(AHP).

Wiki page for AHP: https://en.wikipedia.org/wiki/Analytic_hierarchy_process

Project page


Glossary

Term Description Example
Items The choices Car A, Car B, Car C
Criteria The judging perspectives Price, Speed, Safety
Criteria Rank Matrix The Criterion Rank Matrix Criterion Price is prefferred over Speed
Criterion Item Rank The Criterion perspective Item Rank Matrix In terms of Price, Car A is preferred over Car B
Rank Scale The Scale a factor/choice preffered over another factor/choice Two factors contribute equally to the objective
RI Random Consistency Index 2: 0, 3: 0.58, 4: 0.9, 5: 1.12, ...
CI Consistency Index -
CR Consistency Ration (CI/RI) -

Install

$ npm i ahp

Quick Samples

Hello World Sample

import AHP from 'ahp';
const ahpContext = new AHP();

ahpContext.addItems(['VendorA', 'VendorB', 'VendorC']);

ahpContext.addCriteria(['price', 'functionality', 'UX']);

//rank criteria with rank scale
ahpContext.rankCriteriaItem('price', [
    ['VendorB', 'VendorC', 1 / 2],
    ['VendorA', 'VendorC', 1 / 2],
    ['VendorA', 'VendorB', 1]
]);

//rank criteria with rank scale
ahpContext.rankCriteriaItem('functionality', [
    ['VendorB', 'VendorC', 1],
    ['VendorA', 'VendorC', 5],
    ['VendorA', 'VendorB', 5]
]);

//rank criteria with absolute rank scole
ahpContext.setCriteriaItemRankByGivenScores('UX', [10, 10, 1]);

ahpContext.rankCriteria(
    [
        ['price', 'functionality', 3],
        ['price', 'UX', 3],
        ['functionality', 'UX', 1]
    ]
);

const output = ahpContext.run();
console.log(output);

Console output

{ error: null,
  rankingMatrix:
   [ [ 0.25, 0.7142857142857141, 0.4761904761904761 ],
     [ 0.25, 0.14285714285714285, 0.4761904761904761 ],
     [ 0.5, 0.14285714285714285, 0.047619047619047616 ] ],
  itemRankMetaMap:
   { price: { ci: 0, ri: 0.58, cr: 0 },
     functionality: { ci: 0, ri: 0.58, cr: 0 },
     UX: { ci: 0, ri: 0.58, cr: 0 } },
  criteriaRankMetaMap:
   { ci: 0,
     ri: 0.58,
     cr: 0,
     weightedVector: [ 0.6000000000000001, 0.20000000000000004, 0.20000000000000004 ] },
  rankedScoreMap:
   { VendorA: 0.3880952380952381,
     VendorB: 0.27380952380952384,
     VendorC: 0.33809523809523817 },
  rankedScores: [ 0.3880952380952381, 0.27380952380952384, 0.33809523809523817 ] }

Import Data Context Sample

import AHP from 'ahp';

const ahpContext = new AHP();

/*
notice that in this demo, we import price item ranking with matrix,
and import UX item ranking with absolute scores. Both are supported.
*/
ahpContext.import({
    items: ['VendorA', 'VendorB', 'VendorC'],
    criteria: ['price', 'functionality', 'UX'],
    criteriaItemRank: {
        price: [
            [1, 1, 0.5],
            [1, 1, 0.5],
            [2, 2, 1]
        ],
        functionality: [
            [1, 5, 5],
            [0.2, 1, 1],
            [0.2, 1, 1]
        ],
        UX: [10, 10, 1]
    },
    criteriaRank: [
        [1, 3, 3],
        [0.3333333333333333, 1, 1],
        [0.3333333333333333, 1, 1]
    ]
});

const output = ahpContext.run();
console.log(output);

Console output

{ error: null,
  rankingMatrix:
   [ [ 0.25, 0.7142857142857141, 0.4761904761904761 ],
     [ 0.25, 0.14285714285714285, 0.4761904761904761 ],
     [ 0.5, 0.14285714285714285, 0.047619047619047616 ] ],
  itemRankMetaMap:
   { price: { ci: 0, ri: 0.58, cr: 0 },
     functionality: { ci: 0, ri: 0.58, cr: 0 },
     UX: { ci: 0, ri: 0.58, cr: 0 } },
  criteriaRankMetaMap:
   { ci: 0,
     ri: 0.58,
     cr: 0,
     weightedVector: [ 0.6000000000000001, 0.20000000000000004, 0.20000000000000004 ] },
  rankedScoreMap:
   { VendorA: 0.3880952380952381,
     VendorB: 0.27380952380952384,
     VendorC: 0.33809523809523817 },
  rankedScores: [ 0.3880952380952381, 0.27380952380952384, 0.33809523809523817 ] }

Export Data Context Sample

import AHP from 'ahp';
const ahpContext = new AHP();
......
const util = require('util');
console.log(util.inspect(ahpContext.export(), false, null));

Console output

{ items: [ 'VendorA', 'VendorB', 'VendorC' ],
  criteria: [ 'price', 'functionality', 'UX' ],
  criteriaItemRank:
   { price: [ [ 1, 1, 0.5 ], [ 1, 1, 0.5 ], [ 2, 2, 1 ] ],
     functionality: [ [ 1, 5, 5 ], [ 0.2, 1, 1 ], [ 0.2, 1, 1 ] ],
     UX: [ [ 1, 1, 10 ], [ 1, 1, 10 ], [ 0.1, 0.1, 1 ] ] },
  criteriaRank:
   [ [ 1, 3, 3 ],
     [ 0.3333333333333333, 1, 1 ],
     [ 0.3333333333333333, 1, 1 ] ] }

Output Analysis Process Information Sample

import AHP from 'ahp';
const ahpContext = new AHP();
......
const analyticContext = ahpContext.debug();
for(const key in analyticContext){
    console.log(`${key}: `, analyticContext[key], '\n');
}

Console output

error:  null

rankingMatrix:  [ [ 0.25, 0.7142857142857141, 0.4761904761904761 ],
  [ 0.25, 0.14285714285714285, 0.4761904761904761 ],
  [ 0.5, 0.14285714285714285, 0.047619047619047616 ] ]

itemRankMetaMap:  { price: { ci: 0, ri: 0.58, cr: 0 },
  functionality: { ci: 0, ri: 0.58, cr: 0 },
  UX: { ci: 0, ri: 0.58, cr: 0 } }

criteriaRankMetaMap:  { ci: 0,
  ri: 0.58,
  cr: 0,
  weightedVector: [ 0.6000000000000001, 0.20000000000000004, 0.20000000000000004 ] }

rankedScoreMap:  { VendorA: 0.3880952380952381,
  VendorB: 0.27380952380952384,
  VendorC: 0.33809523809523817 }

rankedScores:  [ 0.3880952380952381, 0.27380952380952384, 0.33809523809523817 ]

log:  ==========================================
context:
items:
[ 'VendorA', 'VendorB', 'VendorC' ]
criteria:
[ 'price', 'functionality', 'UX' ]
criteriaItemRank:
{ price: [ [ 1, 1, 0.5 ], [ 1, 1, 0.5 ], [ 2, 2, 1 ] ],
  functionality: [ [ 1, 5, 5 ], [ 0.2, 1, 1 ], [ 0.2, 1, 1 ] ],
  UX: [ [ 1, 1, 10 ], [ 1, 1, 10 ], [ 0.1, 0.1, 1 ] ] }
criteriaRank:
[ [ 1, 3, 3 ],
  [ 0.3333333333333333, 1, 1 ],
  [ 0.3333333333333333, 1, 1 ] ]
__________________________________
criteriaItemRank['price']
---------------------------------------------
|          |   VendorA|   VendorB|   VendorC|
|----------|----------|----------|----------|
|   VendorA|     1.000|     1.000|     0.500|
|   VendorB|     1.000|     1.000|     0.500|
|   VendorC|     2.000|     2.000|     1.000|
---------------------------------------------

Consistentcy index: 0
Random index: 0.58
Consistentcy ratio: 0
CR<=0.1 => sufficient consistency
__________________________________
criteriaItemRank['functionality']
---------------------------------------------
|          |   VendorA|   VendorB|   VendorC|
|----------|----------|----------|----------|
|   VendorA|     1.000|     5.000|     5.000|
|   VendorB|     0.200|     1.000|     1.000|
|   VendorC|     0.200|     1.000|     1.000|
---------------------------------------------

Consistentcy index: 0
Random index: 0.58
Consistentcy ratio: 0
CR<=0.1 => sufficient consistency
__________________________________
criteriaItemRank['UX']
---------------------------------------------
|          |   VendorA|   VendorB|   VendorC|
|----------|----------|----------|----------|
|   VendorA|     1.000|     1.000|    10.000|
|   VendorB|     1.000|     1.000|    10.000|
|   VendorC|     0.100|     0.100|     1.000|
---------------------------------------------

Consistentcy index: 0
Random index: 0.58
Consistentcy ratio: 0
CR<=0.1 => sufficient consistency
__________________________________
criteriaRank:
---------------------------------------------------------
|             |        price|functionality|           UX|
|-------------|-------------|-------------|-------------|
|        price|        1.000|        3.000|        3.000|
|functionality|        0.333|        1.000|        1.000|
|           UX|        0.333|        1.000|        1.000|
---------------------------------------------------------

Consistentcy index: 0
Random index: 0.58
Consistentcy ratio: 0
CR<=0.1 => sufficient consistency
Criteria Weight Vector: 0.6000000000000001,0.20000000000000004,0.20000000000000004
__________________________________

rankingMatrix: (Higher score is better)
---------------------------------------
|             |VendorA|VendorB|VendorC|
|-------------|-------|-------|-------|
|        price|  0.250|  0.250|  0.500|
|functionality|  0.714|  0.143|  0.143|
|           UX|  0.476|  0.476|  0.048|
---------------------------------------

__________________________________
ranked item scores: (Higher score is better)
---------------
|       |Score|
|-------|-----|
|VendorA|0.388|
|VendorB|0.274|
|VendorC|0.338|
---------------

==========================================

API

import(context)

Description:

Importing context from JSON

Parameters:

Parameter Type Description Mandatory Default Value
context object The context true -

Return:

Type Description
AHP The AHP object

Example:

ahpContext.import({
    items: ['Vendor A', 'Vendor B', 'Vendor C'],
    criteria: ['price', 'functionality', 'UX'],
    criteriaItemRank:
    {
        price: [[1, 1, 0.5], [1, 1, 0.5], [2, 2, 1]],
        functionality: [[1, 1, 5], [1, 1, 5], [0.2, 0.2, 1]],
        UX: [[1, 1, 10], [1, 1, 10], [0.1, 0.1, 1]]
    },
    criteriaRank:
    [[1, 3, 3],
    [0.3333333333333333, 1, 1],
    [0.3333333333333333, 1, 1]]
});

export()

Description:

Exporting context as JSON

Parameters:

nil

Return:

Type Description
object The exported AHP context JSON

Example:

ahpContext.export();

addItem(item)

Description:

Adding Item

Parameters:

Parameter Type Description Mandatory Default Value
Item string The item true -

Return:

Type Description
AHP The AHP object

Example:

ahpContext.addItem('Vendor A');

addItems(items)

Description:

Adding Items

Parameters:

Parameter Type Description Mandatory Default Value
Items string[] The items true -

Return:

Type Description
AHP The AHP object

Example:

ahpContext.addItems(['Vendor A', 'Vendor B', 'Vendor C']);

removeItem(item)

Description:

Removing Item

Parameters:

Parameter Type Description Mandatory Default Value
Item string The item true -

Return:

Type Description
AHP The AHP object

Example:

ahpContext.removeItem('Vendor A');

removeItems(items)

Description:

Removing Items

Parameters:

Parameter Type Description Mandatory Default Value
Items string[] The items true -

Return:

Type Description
AHP The AHP object

Example:

ahpContext.removeItems(['Vendor A', 'Vendor B', 'Vendor C']);

addCriterion(criterion)

Description:

Adding criterion

Parameters:

Parameter Type Description Mandatory Default Value
criterion string The criterion true -

Return:

Type Description
AHP The AHP object

Example:

ahpContext.addCriterion('price');

addCriteria(criteria)

Description:

Adding criteria

Parameters:

Parameter Type Description Mandatory Default Value
criteria string[] The criteria true -

Return:

Type Description
AHP The AHP object

Example:

ahpContext.addCriteria(['price', 'functionality', 'UX']);

removeCriterion(criterion)

Description:

Removing criterion

Parameters:

Parameter Type Description Mandatory Default Value
criterion string The criterion true -

Return:

Type Description
AHP The AHP object

Example:

ahpContext.removeCriterion('price');

removeCriteria(criteria)

Description:

Removing criteria

Parameters:

Parameter Type Description Mandatory Default Value
criteria string[] The criteria true -

Return:

Type Description
AHP The AHP object

Example:

ahpContext.removeCriteria(['price', 'functionality', 'UX']);

rankCriteria(preferences)

Description:

Ranking criteria

Parameters:

Parameter Type Description Mandatory Default Value
criteria {{preferredCriterion:string, comparingCriterion:string, scale:number}[]|(string|number)[]} Array of Preference. The 'preferredCriterion' of preference object is the preferred criterion while 'comparingCriterion' is the comparing criterion. The 'scale' is the preferred rank scale. You can pass the 3 objects as an array of 3 objects as well. true -

Return:

Type Description
AHP The AHP object

Example:

ahpContext.rankCriteria(
    [
        {preferredCriterion: 'price', comparingCriterion: 'functionality', scale:3},
        {preferredCriterion: 'price', comparingCriterion: 'UX', scale:3},
        {preferredCriterion: 'functionality', comparingCriterion: 'UX', scale:1}
    ]
);

//or
ahpContext.rankCriteria(
    [
        ['price', 'functionality', 3],
        ['price', 'UX', 3],
        ['functionality', 'UX', 1]
    ]
);

setCriteriaRankByGivenScores(vector)

Description:

Ranking criteria by Given Scores. This is suitable for the use case which you want to directly define the criteria ranking scores.

Parameters:

Parameter Type Description Mandatory Default Value
vector number[] The array of criteria ranking scores. The sequence follow the sequence which you define criteria. true -

Return:

Type Description
AHP The AHP object

Example:

//assume criteria = ['price', 'functionality', 'UX'];

ahpContext.setCriteriaRankByGivenScores([1, 2, 5]);
// is equivalent to
ahpContext.rankCriteria(
    [
        ['price', 'functionality', 1/2],
        ['price', 'UX', 1/5],
        ['functionality', 'UX', 2/5]
    ]
);

rankCriteriaItem(criterion, preferences)

Description:

Rank Criteria perspective Item

Parameters:

Parameter Type Description Mandatory Default Value
criterion string The criterion being used as perspective to rank the items true -
preferences {{preferredItem:string, comparingItem:string, scale:number}[]|(string|number)[]} Array of Preference. The 'preferredItem' of preference object is the preferred item while 'comparingItem' is the comparing item. The 'scale' is the preferred rank scale. You can pass the 3 objects as an array of 3 objects as well. true -

Return:

Type Description
AHP The AHP object

Example:

ahpContext.rankCriteriaItem('price', [
    {preferredItem:'VendorB', comparingItem:'VendorC', scale:1 / 2},
    {preferredItem:'VendorA', comparingItem:'VendorC', scale:1 / 2},
    {preferredItem:'VendorA', comparingItem:'VendorB', scale:1}
]);

//or
ahpContext.rankCriteriaItem('price', [
    ['VendorB', 'VendorC', 1 / 2],
    ['VendorA', 'VendorC', 1 / 2],
    ['VendorA', 'VendorB', 1]
]);

setCriteriaItemRankByGivenScores(criterion, vector)

Description:

Base on specific criterion to rank items by Given Scores. This is suitable for the use case which you want to directly define the criteria perspective item ranking scores.

Parameters:

Parameter Type Description Mandatory Default Value
criterion string The criterion being used as perspective to rank the items true -
vector number[] The array of item ranking scores. The sequence follow the sequence which you define items. true -

Return:

Type Description
AHP The AHP object

Example:

ahpContext.setCriteriaItemRankByGivenScores('price', [10, 5, 7]);

// is equivalent to
ahpContext.rankCriteriaItem(
    'price',
    [
        ['Vendor A', 'Vendor B', 10/5],
        ['Vendor A', 'Vendor C', 10/7],
        ['Vendor B', 'Vendor C', 5/7]
    ]
);

resetCriteriaItemRank(criteria)

Description:

Reset Criteria perspective Item ranking matrix.

Parameters:

Parameter Type Description Mandatory Default Value
criteria string[] The criteria which you want to reset item ranking matrix. true -

Return:

Type Description
AHP The AHP object

Example:

ahpContext.resetCriteriaItemRank(['price', 'functionality']);

resetCriteriaRank()

Description:

Reset Criteria ranking matrix.

Parameters:

nil

Return:

Type Description
AHP The AHP object

Example:

ahpContext.resetCriteriaRank();

findNextProblem()

Description:

Auto check whether the existing input context can successfully done the AHP analysis process. If there are missing information or data inconsistency, this function would return the Error it found.

Parameters:

nil

Return:

Type Description
ContextError The Context Error object

Example:

let problem = ahpContext.findNextProblem();

debug()

Description:

Try to run the AHP analysis process. The result information and the debug log output will be returned.

Parameters:

nil

Return Object properties:

Property Type Description
error ContextError The Context Error object if found, or null otherwise.
rankingMatrix number[][] The processed ranking matrix. The row entry represent each item's scores. Each entry in the row represent that item's score on a certain criteria.
itemRankMetaMap object The metadata(e.g: CI, RI, CR) for each criteria perspective item ranking matrix.
criteriaRankMetaMap object The metadata(e.g: CI, RI, CR) for criteria ranking matrix.
rankedScoreMap object The overall computed ranking score for each item
log string The debug log

Example:

......
let analyticContext = ahpContext.debug();
for(let key in analyticContext){
    console.log(`${key}: `, analyticContext[key], '\n');
}

Console output

error:
 null

rankingMatrix:
 [ [ 0.25, 0.7142857142857141, 0.4761904761904761 ],
  [ 0.25, 0.14285714285714285, 0.4761904761904761 ],
  [ 0.5, 0.14285714285714285, 0.047619047619047616 ] ]

itemRankMetaMap:
 { price: { ci: 0, ri: 0.58, cr: 0 },
  functionality: { ci: 0, ri: 0.58, cr: 0 },
  UX: { ci: 0, ri: 0.58, cr: 0 } }

criteriaRankMetaMap:
 { ci: 0,
  ri: 0.58,
  cr: 0,
  weightedVector: [ 0.6000000000000001, 0.20000000000000004, 0.20000000000000004 ] }

rankedScoreMap:
 { VendorA: 0.3880952380952381,
  VendorB: 0.27380952380952384,
  VendorC: 0.33809523809523817 }

log:
 ==========================================
context:
items:
[ 'VendorA', 'VendorB', 'VendorC' ]
criteria:
[ 'price', 'functionality', 'UX' ]
criteriaItemRank:
{ price: [ [ 1, 1, 0.5 ], [ 1, 1, 0.5 ], [ 2, 2, 1 ] ],
  functionality: [ [ 1, 5, 5 ], [ 0.2, 1, 1 ], [ 0.2, 1, 1 ] ],
  UX: [ [ 1, 1, 10 ], [ 1, 1, 10 ], [ 0.1, 0.1, 1 ] ] }
criteriaRank:
[ [ 1, 3, 3 ],
  [ 0.3333333333333333, 1, 1 ],
  [ 0.3333333333333333, 1, 1 ] ]
__________________________________
criteriaItemRank['price']
---------------------------------------------
|          |   VendorA|   VendorB|   VendorC|
|----------|----------|----------|----------|
|   VendorA|     1.000|     1.000|     0.500|
|   VendorB|     1.000|     1.000|     0.500|
|   VendorC|     2.000|     2.000|     1.000|
---------------------------------------------

Consistentcy index: 0
Consistentcy ratio: 0
CR<=0.1 => sufficient consistency
__________________________________
criteriaItemRank['functionality']
---------------------------------------------
|          |   VendorA|   VendorB|   VendorC|
|----------|----------|----------|----------|
|   VendorA|     1.000|     5.000|     5.000|
|   VendorB|     0.200|     1.000|     1.000|
|   VendorC|     0.200|     1.000|     1.000|
---------------------------------------------

Consistentcy index: 0
Consistentcy ratio: 0
CR<=0.1 => sufficient consistency
__________________________________
criteriaItemRank['UX']
---------------------------------------------
|          |   VendorA|   VendorB|   VendorC|
|----------|----------|----------|----------|
|   VendorA|     1.000|     1.000|    10.000|
|   VendorB|     1.000|     1.000|    10.000|
|   VendorC|     0.100|     0.100|     1.000|
---------------------------------------------

Consistentcy index: 0
Consistentcy ratio: 0
CR<=0.1 => sufficient consistency
__________________________________
criteriaRank:
---------------------------------------------------------
|             |        price|functionality|           UX|
|-------------|-------------|-------------|-------------|
|        price|        1.000|        3.000|        3.000|
|functionality|        0.333|        1.000|        1.000|
|           UX|        0.333|        1.000|        1.000|
---------------------------------------------------------

Consistentcy index: 0
Consistentcy ratio: 0
CR<=0.1 => sufficient consistency
Criteria Weight Vector: 0.6000000000000001,0.20000000000000004,0.20000000000000004
__________________________________

rankingMatrix: (Higher score is better)
---------------------------------------
|             |VendorA|VendorB|VendorC|
|-------------|-------|-------|-------|
|        price|  0.250|  0.250|  0.500|
|functionality|  0.714|  0.143|  0.143|
|           UX|  0.476|  0.476|  0.048|
---------------------------------------

__________________________________
ranked item scores: (Higher score is better)
---------------
|       |Score|
|-------|-----|
|VendorA|0.388|
|VendorB|0.274|
|VendorC|0.338|
---------------

==========================================

run()

Description:

Try to run the AHP analysis process. The result information will be returned.

Parameters:

nil

Return Object properties:

Property Type Description
error ContextError The Context Error object if found, or null otherwise.
rankingMatrix number[][] The processed ranking matrix. The row entry represent each item's scores. Each entry in the row represent that item's score on a certain criteria.
itemRankMetaMap object The metadata(e.g: CI, RI, CR) for each criteria perspective item ranking matrix.
criteriaRankMetaMap object The metadata(e.g: CI, RI, CR) for criteria ranking matrix.
rankedScoreMap object The overall computed ranking score for each item

Example:

......
let analyticContext = ahpContext.run();
for(let key in analyticContext){
    console.log(`${key}: `, analyticContext[key], '\n');
}

Console output

error:
 null

rankingMatrix:
 [ [ 0.25, 0.7142857142857141, 0.4761904761904761 ],
  [ 0.25, 0.14285714285714285, 0.4761904761904761 ],
  [ 0.5, 0.14285714285714285, 0.047619047619047616 ] ]

itemRankMetaMap:
 { price: { ci: 0, ri: 0.58, cr: 0 },
  functionality: { ci: 0, ri: 0.58, cr: 0 },
  UX: { ci: 0, ri: 0.58, cr: 0 } }

criteriaRankMetaMap:
 { ci: 0,
  ri: 0.58,
  cr: 0,
  weightedVector: [ 0.6000000000000001, 0.20000000000000004, 0.20000000000000004 ] }

rankedScoreMap:
 { VendorA: 0.3880952380952381,
  VendorB: 0.27380952380952384,
  VendorC: 0.33809523809523817 }

Classes

AHP

Description

The AHP context class for input items, criteria & rankings. And then run the AHP process.

API Functions:

ContextError

Description

The abstract base context error object.

Function:

  • toQuestion(): Return the text representation of the Error followup message.

NoItem

Description

There are no items defined.

Preperties

Property Type Description
type string "NO_ITEM"

NoCriteria

Description

There are no criteria defined.

Preperties

Property Type Description
type string "NO_CRITERIA"

MissingCriteriaItemRank

Description

Some item ranking information is not yet input.

Preperties

Property Type Description
type string "MISSING_CRITERIA_ITEM_RANK"
context.criterion string The criterion of the missing criterion perspective item ranking matrix entry.
context.itemA string The first item of the missing criterion perspective item ranking matrix entry.
context.itemB string The second item of the missing criterion perspective item ranking matrix entry.

MissingCriteriaRank

Description

Some criteria ranking information is not yet input.

Preperties

Property Type Description
type string "MISSING_CRITERIA_RANK"
context.criterionA string The first criterion of the missing criterion ranking matrix entry.
context.criterionB string The second criterion of the missing criterion perspective ranking matrix entry.

CriteriaItemRankInsufficientConsistencyRatio

Description

The consistency ratio for item ranking calculated is inconsistent(>0.1).

Preperties

Property Type Description
type string "MISSING_CRITERIA_RANK"
context.criterion string The criterion of the criterion perspective item ranking matrix which has inconsistency ratio detected.
context.cr number The consistency ratio.

CriteriaRankInsufficientConsistencyRatio

Description

The consistency ratio for criteria ranking calculated is inconsistent(>0.1).

Preperties

Property Type Description
type string "MISSING_CRITERIA_RANK"
context.criterion string The criterion of the criterion perspective item ranking matrix which has inconsistency ratio detected.
context.cr number The consistency ratio.

Arthor contact

Dependencies (3)

Dev Dependencies (3)

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Install

npm i ahp

Weekly Downloads

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Version

2.4.2

License

MIT

Unpacked Size

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Total Files

7

Last publish

Collaborators

  • airicyu