Mathematical modeling---Analytic hierarchy process (AHP model)

Evaluation questions

  1. aims
  2. Plan to achieve this goal
  3. Criteria for evaluation plan

The problem idea

Select the relevant indicators, find the weight between each indicator and the weight of each choice for a certain indicator (the idea of ​​divide and conquer)

Compare the selected indicators in pairs and calculate the weight based on the comparison result

  1. The importance of comparing indicators in pairs (note that there is no logical inconsistency when comparing):
    Pairwise comparison of the degree of Central Asia
  2. Obtain the judgment matrix (positive and reciprocal matrix) :
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    For example:
    Question: Choose a place to travel from Suzhou-Hangzhou, Beidaihe, Guilin
    Judging indicators: scenery, cost, living, eating, and transportation
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  3. Each row (each column) of the consistent matrix is
    a multiple relationship and is a judgment matrix
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  • Note that before using the judgment matrix to obtain weights, a consistency check must be performed.
  1. Perform consistency check: Insert picture description here
    Step:
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    When CR >= 0.1 CR>=0.1CR>=0 . . 1 is adjusted in accordance with each row (column) ratio (consistent matrix each row (column) in the same proportion)
  2. Calculate the weight of each index
    Method 1:
    Arithmetic average method for weight
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    For the consistency matrix, you can ignore the third step
    Method 2:
    Geometric average method
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    Method 3:
    Eigenvalue method for weight (Most used
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Calculate the score for each plan

E.g:
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Analytic Hierarchy Process

The first step of analytic hierarchy process-hierarchical structure diagram

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The second step of Analytic Hierarchy Process — construct a judgment matrix

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The third step of analytic hierarchy process-consistency test

Calculate the relative weight from the judgment matrix and perform consistency testInsert picture description here

Limitations of AHP

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When the index data of the decision-making layer is known instead of being given subjectively, you need to use the distance method of superior and inferior solutions (Topsis model)


Reference: Mathematical Modeling Breeze Video

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Origin blog.csdn.net/qq_43779658/article/details/107552172