Questions tagged [multicriteria-decision-analysis]

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Weighted sum in the objective function

I am working on my actual model. The objective function aims to maximize the preferences related to each criterion pc to select the best contract that fits with the project characteristics( c1= size, ...
Basma Ben Mahmoud's user avatar
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Can I use a positive and negative Fibonacci scale to measure sustainability for project requests using Weighted Sum (WSM/SAW)?

I hope the question is still clear as I'm a little bit over my head with the topic. I'm trying to measure a sustainability index/score for incoming project requests (alternatives). I'm using the ...
Eristic Parrot's user avatar
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Rank individuals of population after multi objective optimization using MCDM algorithm

I am trying to solve a multi objective optimization problem. It has 5 objectives. I am able to do optimization using NSGA2 algorithm of pymoo library in python. ...
MSS's user avatar
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Evaluate performance values following probability distributions in MCDM

If I have MCDM problems with performance values as "random variables", for instance, one value for object $A$ follows $\mathcal{N}(60,100)$ and the same criterion value for object $B$ ...
Maul Seil's user avatar
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Understanding acceptable advantage in MCDM method VIKOR

As a distance-based MCDM method, unlike TOPSIS, for VIKOR, there is an "acceptability" check at the final step which confuses me, particularly for "Acceptable advantage", i.e., ...
Maul Seil's user avatar
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How can we choose the right weight to solve multi-objective problem using weighted sum method?

I have a multi-objective problem with three objectives F1, F2, and F3. the problem was formulated as a weighted sum. Now I didn't know how I can choose the right weight for my problem
charafeddine's user avatar
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Two criteria in a problem that involves multiple-criteria decision-making

I would like your valuable opinion on one issue: I created a decision matrix considering two criteria and 10 alternatives, as below. My problem involves determining the optimal number of clusters from ...
Antonio's user avatar
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Matrix normalization to use multicriteria methods

I'm using the TOPSIS and VIKOR multicriteria methods to generate rankings according to the decision matrix that I call a database. I would like to know if the ...
Antonio's user avatar
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Normalized VIKOR method multicriteria

I would like some help with regards to understanding why the author of an article normalized differently just for the results of the VIKOR multicriteria method. I'...
Antonio's user avatar
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Strengths and weaknesses of some Multiple-criteria decision-making (MCDM) methods

I have described succinctly the strengths and weaknesses of some Multiple-criteria decision-making (MCDM) methods, however, I would like if you could help me to write these points for the VIKOR and ...
Antonio's user avatar
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Application with VIKOR multicriteria method

What to do in these cases where I can't rank by the VIKOR multicriteria method because Q has no value? ...
Antonio's user avatar
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Conflicts with weights of the topsis method in R

Why can't I generate for the topsis method, choosing a w <- c(1, 0)? As far as I know it has to be the sum of the weights ...
Antonio's user avatar
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How to utilize Spearman Rho coefficient

The dataset below presents the ranking of different multicriteria methods. My idea is to generate a final ranking based on the multicriteria methods for all alternatives, but it can be seen that in ...
Antonio's user avatar
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2 votes
1 answer
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Using VIKOR multicriteria method in R

I'm using the VIKOR multicriteria method from the MCDM package. The example can be found here: https://cran.r-project.org/web/...
Antonio's user avatar
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How to use PROMETHEE multicriteria method in R

I used TOPSIS multicriteria method to select the best number of clusters out of the 34 options. As weights I used 0.5 for each criterion. The ...
Antonio's user avatar
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How to Use the Weighted Sum Method in R

I would like to use the weighted sum method to select the best number of clusters out of the 34 options. As weights I would like to use 0.5 for each criterion. The coverage criterion is to minimize ...
Antonio's user avatar
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Use the Weighted Sum Method in R

I would like to use the Weighted Sum Method (Multi Criteria Decision Making) in R in this database below. The resolution of the issue is here: https://www.geeksforgeeks.org/weighted-sum-method-multi-...
Antonio's user avatar
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Use multicriteria method with clustering

I created a clustering algorithm to determine the optimal number of clusters from a dataset that has information on rural properties. I use hierarchical agglomerative clustering for this. Basically, I ...
Antonio's user avatar
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How to interpret this problem of multicriteria decision

I am trying to optimise a cost function that consists of three parameters (A,B,C) using weighted sum approach for the selection of optimal technique out of three techniques. Parameter A unit is in ...
ash goharam's user avatar
-2 votes
1 answer
142 views

MODM to create balanced groups of students to maximise diversity

I am very new to LP, Goal Seek, Decision Models etc and I have a multiple-objective decision making problem that may or may not require a mix of techniques although I am trying to solve it purely ...
Edison's user avatar
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4 votes
1 answer
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Assignment and scheduling problem with resource constraints

I have 10 tasks with 6 workers. Each worker can only serve one task at a time and must complete the task before moving on to the next task. Each worker has a maximum work output value and each task ...
conv3d's user avatar
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6 votes
2 answers
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Solving an exponential utility function

I have a utility function $u(x) = a - b e^{-x/20\,000}$ and it is given that $u(0)=0$ and $u(100\,000)=1$. I am trying to show that $a = 1.0067837$ and $b = 1.0067837$. Here is what I tried: \begin{...
Mark K's user avatar
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11 votes
2 answers
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Families of methods to deal with criterion uncertainties in multicriteria decision analysis

In MCDA, which family methods deal with uncertain criterion-specific values? What is MCDA? Multiple-criteria decision analysis, refereed as MCDA, is a sub-field of Operations Research for aiding in ...
JKHA's user avatar
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