Body: <p>I have a hypothetical example that closes to my research problem:</p>
  
  <p>Assume you are a boss and you have different types of tasks that you need to assign to your employee. Sensitive task (very classified), and task that requires high skills. So you need to assign a sensitive task (government document) to the trusted employee. While the other task (e.g. statistical analysis ) can be assigned to employee who is more creative and smart. Now every day you have many tasks that need to be done and have a large number of employees with a number of crowdsources (freelancers). </p>
  
  <p>You have an outcome and history of trust and performance along of failure rate of assigned task on that day of these employees as:</p>
  
  <p><a href="https://i.sstatic.net/R9ZkM.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/R9ZkM.png" alt="enter image description here"></a></p>
  
  <p>As you can see here on day 1: the trust of emp 111 is good, so on that day, he had a low failure rate of the sensitive task. While his performance is low, and that made other task failed a lot.</p>
  
  <p>So now assume you have a sensitive task coming, and you have a pool of workers.</p>
  
  <p>The basic equation might not good here: <code>Trust + Performance.</code> I need to weigh each factor based on the type of tasks. </p>
  
  <p><code>Trust x w1  +  performance x w2</code>  ::::: <code>w1</code> is high coefficient when sensitive is coming. </p>
  
  <p>Any idea of how I model these issues. </p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-10-17T21:46:51.467Z
Comments.Text: Can I use the analytic hierarchy process (AHP)?
Comments.UserDisplayName: jou
Tags: <machine-learning><deep-learning>
Title: Assigning Weighting Factors
UserDisplayName: jou
ThreadText: # Assigning Weighting Factors
  
  (Asked by: username_0 on 2019-10-17)
  
  I have a hypothetical example that closes to my research problem:
  
  Assume you are a boss and you have different types of tasks that you need to assign to your employee. Sensitive task (very classified), and task that requires high skills. So you need to assign a sensitive task (government document) to the trusted employee. While the other task (e.g. statistical analysis ) can be assigned to employee who is more creative and smart. Now every day you have many tasks that need to be done and have a large number of employees with a number of crowdsources (freelancers).
  
  You have an outcome and history of trust and performance along of failure rate of assigned task on that day of these employees as:
  
  [![enter image description here](https://i.sstatic.net/R9ZkM.png)](https://i.sstatic.net/R9ZkM.png)
  
  As you can see here on day 1: the trust of emp 111 is good, so on that day, he had a low failure rate of the sensitive task. While his performance is low, and that made other task failed a lot.
  
  So now assume you have a sensitive task coming, and you have a pool of workers.
  
  The basic equation might not good here: `Trust + Performance.` I need to weigh each factor based on the type of tasks.
  
  `Trust x w1 + performance x w2` ::::: `w1` is high coefficient when sensitive is coming.
  
  Any idea of how I model these issues.
  
  **Tags:** machine-learning, deep-learning
  > **Comments:**
  > **username_0**: Can I use the analytic hierarchy process (AHP)?  
  
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  ## 0 answers
  
  