Decision maker equation (comparing 3 variables)

  • Context: Undergrad 
  • Thread starter Thread starter Saud92
  • Start date Start date
  • Tags Tags
    Decision Variables
Click For Summary

Discussion Overview

The discussion revolves around creating an equation to determine the best product among four options based on multiple criteria: lifespan, quality, and customer ratings. The focus is on the theoretical framework for decision-making rather than a specific solution.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested, Mathematical reasoning

Main Points Raised

  • One participant seeks to establish a mathematical equation to identify the best product, specifically aiming to select product 3 based on given attributes.
  • Another participant suggests that an optimization equation should relate the goal to the three variables (lifetime, quality, rating) and questions the weights assigned to each in determining an optimal solution.
  • A different viewpoint emphasizes the need for a quantitative definition of "best decision," arguing that starting with a predetermined conclusion about product 3 could be seen as biased.
  • Multi-objective optimization is introduced as a concept that does not yield a single optimal solution but rather a set of Pareto optimal values, highlighting the subjective nature of trade-offs in decision-making.
  • Participants discuss the idea that any mathematical formula would ultimately reflect the reasoning behind the choice of product 3, rather than an objective determination of its superiority.

Areas of Agreement / Disagreement

Participants express differing views on how to approach the problem of determining the best product. There is no consensus on the method or the validity of starting with a specific product as the best choice.

Contextual Notes

The discussion highlights the complexity of defining optimality in decision-making, including the subjective nature of weighting different criteria and the implications of starting with a predetermined conclusion.

Who May Find This Useful

This discussion may be of interest to individuals involved in decision-making processes, optimization problems, or those exploring multi-objective evaluation frameworks in product selection.

Saud92
Messages
1
Reaction score
0
I want to create an equation to make decision on the best product that i want to be the best for example:

I have this 4 products:
- product1: lives 1 months, quality 70%, people rating 50%
- product2: lives 2 months, quality 60%, people rating 60%
- product3: lives 3 months, quality 50%, people rating 60%
- product4: lives 10 months, quality 40%, people rating 40%

how can i make an equation so from this equation i can choose product3 as the best choose for customers?

i can't create a relation between these choose based on what in my view is the best
 
Physics news on Phys.org
Usually you will have an equation that could be optimized, i.e. how is your goal related to lifetime, quality and rating? Which are the weights of them in a solution you would call optimal?
 
You have to find some quantitative way to define "best decision", based on what is a good decision, not based on the products you have.

Starting with the conclusion "product 3 is best" sounds like manipulation. I don't think there is a linear relation that has this result, and if you can make arbitrary relations just say "3 months is best" and you are done...
 
This is called multi objective optimization. Multi objective optimization does not return a single optimal value, it returns a set of Pareto optimal values. This set is already Pareto optimal.

Choosing between Pareto optimal values requires some trade-off between competing objectives. Weighted optimization tries to capture that trade off, but it is subjective.

If you believe that product 3 is the best then just explain why. Any mathematical formula would just be based on that explanation.
 

Similar threads

  • · Replies 17 ·
Replies
17
Views
4K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 6 ·
Replies
6
Views
3K
Replies
4
Views
2K
  • · Replies 30 ·
2
Replies
30
Views
4K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K