pyDEMATEL

Table of Contents

• Overview
• License
• Features
• Installation
• Usage
• Authors
• Contact

Overview

The pyDEMATEL tool is designed to implement and facilitate the use of the DEMATEL and Fuzzy DEMATEL methods. The tool comprises three distinct classes: DEMATELSolver, FuzzyDEMATELSolver, and DEMATELWindow.

• DEMATELSolver: Implements the standard DEMATEL method.
• FuzzyDEMATELSolver: Implements the Fuzzy DEMATEL method.
• DEMATELWindow: Provides a graphical interface for users to interact with the tool.

This separation is designed to offer two ways of using the tool:

1. Graphical Interface Mode: Allows decision-makers to use the tool directly via its graphical interface provided by the DEMATELWindow class.
2. Package Integration Mode: Allows developers to directly integrate the DEMATELSolver or FuzzyDEMATELSolver classes into their own applications, without needing the graphical interface.

License

This project is licensed under the BSD License - see the LICENSE file for details.

Features

• Feature 1: Data Acquisition Methods: Acquires numbers and names of experts and factors and gathers evaluation matrix values from each expert.
• Feature 2: Matrix Generation Steps: Computes the "direct-influence matrix Z", generates the "normalized direct-influence matrix X", creates the "total-influence matrix T" and produces an "influential Relation Map IRM".
• Feature 3: Output Presentation Methods: Presents outputs in various formats, including graphical representations and provides options to generate Excel documents.
• Feature 4: Integration and Flexibility: Designed for integration into Python-based programs and Implements the DEMATEL method comprehensively, ensuring accuracy and completeness.

Installation

Prerequisites

Before you begin, ensure that Python and pip are installed and updated on your system.

Steps to Install

To install the pyDEMATEL package, use the following command:

pip install pyDEMATEL

The following libraries are installed automatically with pyDEMATEL:

• numpy
• matplotlib
• openpyxl

Usage

Use the following command to execute the graphical interface of the pyDEMATEL software:

pydematel

The steps to follow are : :

• Step 1: Enter the number of experts and the number of factors.
• Step 2: Provide the names of experts and factors.
• Step 3: Choose the solving method: either DEMATEL or FuzzyDEMATEL
• Step 4: Enter the evaluation matrix for each expert.
• Step 5: Generate the results.

Example

Here is an example demonstrating how to use the FuzzyDEMATELSolver package, which implements the FuzzyDEMATEL method:

from pyDEMATEL.FuzzyDEMATELSolver import FuzzyDEMATELSolver
import numpy as np

# Inputs: experts and factors
expert = "bob"
factors =  ["A1", 
            "A2", 
            "A3", 
            "A4", 
            "A5", 
            "A6", 
            "A7", 
            "A8",
            "A9",
            "A10",           
            "A11", 
            "A12", 
            "A13", 
            "A14", 
            "A15", 
            "A16", 
            "A17", 
            "A18"] 
    
# Linguistic evaluation matrix of marine experts’ consensus in other words evaluation matrix for each expert (source  https://www.sciencedirect.com/science/article/pii/S0950423015300498)
evaluationMatrix=[
[(0, 0, 0.25),(0, 0, 0.25),(0.5, 0.75, 1),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0, 0.25),(0, 0.25, 0.5),(0.5, 0.75, 1),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0, 0.25),(0.25, 0.5, 0.75),(0, 0, 0.25),(0, 0.25, 0.5),(0.5, 0.75, 1)],
[(0.5, 0.75, 1),(0, 0, 0.25),(0.5, 0.75, 1),(0.25, 0.5, 0.75),(0, 0, 0.25),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0.25, 0.5),(0.75, 1, 1),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0, 0.25, 0.5),(0.5, 0.75, 1)],
[(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0, 0.25),(0.5, 0.75, 1),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0, 0.25),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0, 0.25),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0.5, 0.75, 1),(0, 0, 0.25),(0.25, 0.5, 0.75),(0.25, 0.5, 0.75)],
[(0.5, 0.75, 1),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0, 0, 0.25),(0.25, 0.5, 0.75),(0.5, 0.75, 1),(0.75, 1, 1),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0.5, 0.75, 1),(0.25, 0.5, 0.75),(0.75, 1, 1),(0.5, 0.75, 1),(0, 0.25, 0.5),(0.5, 0.75, 1),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0.25, 0.5)],
[(0, 0.25, 0.5),(0, 0.25, 0.5),(0.5, 0.75, 1),(0.25, 0.5, 0.75),(0, 0, 0.25),(0.5, 0.75, 1),(0.5, 0.75, 1),(0, 0, 0.25),(0, 0.25, 0.5),(0, 0.25, 0.5),(0.75, 1, 1),(0.5, 0.75, 1),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0, 0.25),(0.5, 0.75, 1)],
[(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0, 0.25, 0.5),(0, 0, 0.25),(0.25, 0.5, 0.75),(0, 0, 0.25),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0.25, 0.5),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0.25, 0.5, 0.75),(0, 0, 0.25),(0, 0.25, 0.5),(0, 0.25, 0.5),(0.75, 1, 1)],
[(0, 0, 0.25),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0.5, 0.75, 1),(0.25, 0.5, 0.75),(0.25, 0.5, 0.75),(0, 0, 0.25),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0.25, 0.5, 0.75)],
[(0, 0, 0.25),(0, 0.25, 0.5),(0, 0.25, 0.5),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0, 0.25),(0, 0, 0.25),(0, 0, 0.25),(0.5, 0.75, 1),(0.5, 0.75, 1),(0, 0, 0.25),(0, 0.25, 0.5),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0.25, 0.5),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0, 0.25)],
[(0, 0, 0.25),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0, 0.25),(0, 0, 0.25),(0.5, 0.75, 1),(0, 0, 0.25),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0, 0.25),(0, 0.25, 0.5),(0, 0.25, 0.5),(0, 0, 0.25),(0.25, 0.5, 0.75),(0, 0, 0.25)],
[(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0, 0.25),(0.5, 0.75, 1),(0, 0.25, 0.5),(0, 0.25, 0.5),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0.75, 1, 1),(0, 0, 0.25),(0, 0.25, 0.5),(0.5, 0.75, 1),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0.5, 0.75, 1)],
[(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0.5, 0.75, 1),(0.75, 1, 1),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0.5, 0.75, 1),(0, 0, 0.25),(0, 0.25, 0.5),(0.5, 0.75, 1),(0, 0, 0.25),(0.75, 1, 1),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0.25, 0.5),(0.5, 0.75, 1)],
[(0.25, 0.5, 0.75),(0.5, 0.75, 1),(0.75, 1, 1),(0.5, 0.75, 1),(0, 0, 0.25),(0, 0.25, 0.5),(0.75, 1, 1),(0, 0, 0.25),(0, 0.25, 0.5),(0.5, 0.75, 1),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0, 0.25),(0, 0.25, 0.5),(0.5, 0.75, 1),(0, 0, 0.25),(0, 0, 0.25),(0.5, 0.75, 1)],
[(0.5, 0.75, 1),(0.25, 0.5, 0.75),(0.75, 1, 1),(0.25, 0.5, 0.75),(0.75, 1, 1),(0, 0.25, 0.5),(0.5, 0.75, 1),(0, 0, 0.25),(0, 0, 0.25),(0, 0.25, 0.5),(0.5, 0.75, 1),(0.5, 0.75, 1),(0, 0, 0.25),(0.5, 0.75, 1),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0.25, 0.5),(0, 0.25, 0.5)],
[(0, 0.25, 0.5),(0, 0.25, 0.5),(0.5, 0.75, 1),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0, 0.25),(0, 0, 0.25),(0, 0, 0.25),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0, 0.25),(0, 0, 0.25),(0, 0, 0.25),(0, 0, 0.25),(0.5, 0.75, 1)],
[(0.25, 0.5, 0.75),(0.25, 0.5, 0.75),(0.5, 0.75, 1),(0.75, 1, 1),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0.5, 0.75, 1),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0.5, 0.75, 1),(0.5, 0.75, 1),(0, 0, 0.25),(0.75, 1, 1),(0.25, 0.5, 0.75),(0.5, 0.75, 1)],
[(0, 0.25, 0.5),(0.75, 1, 1),(0.5, 0.75, 1),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0, 0.25, 0.5),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0, 0.25),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0.25, 0.5, 0.75),(0, 0, 0.25),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0, 0.25),(0.5, 0.75, 1),(0.75, 1, 1)],
[(0, 0, 0.25),(0.5, 0.75, 1),(0.75, 1, 1),(0.5, 0.75, 1),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0.25, 0.5),(0, 0.25, 0.5),(0, 0.25, 0.5),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0.25, 0.5),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0, 0, 0.25),(0.25, 0.5, 0.75)],
[(0, 0.25, 0.5),(0.5, 0.75, 1),(0.75, 1, 1),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0, 0.25, 0.5),(0, 0, 0.25),(0, 0, 0.25),(0, 0.25, 0.5),(0.25, 0.5, 0.75),(0.5, 0.75, 1),(0.25, 0.5, 0.75),(0, 0.25, 0.5),(0, 0, 0.25),(0.25, 0.5, 0.75),(0.5, 0.75, 1),(0, 0.25, 0.5),(0, 0, 0.25)]
]           

matrices = np.array([np.array(evaluationMatrix, dtype=object)])

# Creating an instance of FuzzyDEMATELSolver
solver = FuzzyDEMATELSolver()
solver.setMatrix(matrices)
print('********* expert s individual direct influence matrices *********')
print(solver.getMatrix())
solver.addExpert(expert)
solver.setFactors(factors)
solver.setNumberOfExperts(1)
solver.setNumberOfFactors(18)
print('********* List of experts *********')
print(solver.getExperts())
print('********* List of Factors *********')
print(solver.getFactors())

# Executing the steps of the FuzzyDEMATEL method
solver.step1()
print('********* Direct Influence Fuzzy Matrix *********')
print(solver.getFuzzyDirectInfluenceMatrix())
solver.step2()
print('********* Normalized Direct Influence Fuzzy Matrix *********')
print(solver.getFuzzyNormalizedDirectInfluenceMatrix())
solver.step3()
print('********* Total Influence Fuzzy Matrix *********')
print(solver.getFuzzyTotalInfluenceMatrix())
solver.step4()
print('********* Relation *********')
print(solver.getRalation())
print('********* Prominence *********')
print(solver.getProminence())

# Generating the graph
solver.drawCurve()

# Generating excel file
solver.savexl(input("Please enter the destination path for the Excel file:"))

Here is an example demonstrating how to use the DEMATELSolver package, which implements the Classical DEMATEL method:

from pyDEMATEL.DEMATELSolver import DEMATELSolver
import numpy as np

# Inputs: experts and factors
expert = "bob"
factors = [ "A1", 
            "A2", 
            "A3", 
            "A4", 
            "A5", 
            "A6", 
            "A7", 
            "A8"]
    
# Average matrix in other words evaluation matrix for each expert (source  https://imisc.figshare.com/articles/journal_contribution/paper-codal-etal_pdf/7325816/3)
matrices= [np.array([[0.00, 1.11, 1.01, 1.41, 1.66, 0.50, 1.60, 2.00],                   
                      [1.43, 0.00, 2.22, 2.00, 2.40, 1.20, 1.66, 1.33], 
                      [0.82, 1.00, 0.00, 2.05, 2.44, 1.65, 2.65, 1.88], 
                      [1.92, 0.80, 1.82, 0.00, 2.75, 3.50, 3.33, 3.10], 
                      [2.20, 3.11, 1.25, 0.75, 0.00, 2.25, 2.66, 1.75], 
                      [1.01, 1.31, 1.45, 1.20, 1.44, 0.00, 0.75, 3.00], 
                      [3.50, 3.20, 2.95, 3.33, 2.88, 1.85, 0.00, 1.40], 
                      [0.50, 1.25, 1.40, 3.66, 1.00, 2.00, 3.33, 0.00]])]


# Creating an instance of DEMATELSolver
solver = DEMATELSolver()
solver.setMatrix(matrices)
print('********* expert s individual direct influence matrices *********')
print(solver.getMatrix())
solver.addExpert(expert)
solver.setFactors(factors)
solver.setNumberOfExperts(1)
solver.setNumberOfFactors(8)
print('********* List of experts *********')
print(solver.getExperts())
print('********* List of Factors *********')
print(solver.getFactors())

# Executing the steps of the DEMATEL method
solver.step1()
print('********* Direct Influence Matrix *********')
print(solver.getDirectInfluenceMatrix())
solver.step2()
print('********* Normalized Direct Influence Matrix *********')
print(solver.getNormalizedDirectInfluenceMatrix())
solver.step3()
print('********* Total Influence Matrix *********')
print(solver.getTotalInfluenceMatrix())
solver.step4()
print('********* Relation *********')
print(solver.getRalation())
print('********* Prominence *********')
print(solver.getProminence())

# Generating the graph
solver.drawCurve()

# Generating excel file
solver.savexl(input("Please enter the destination path for the Excel file:"))

Authors

• Abderrahman Chekry¹
• Jamal Bakkas¹
• Mohamed Hanine²
• Elizabeth Caro Montero^3,4,5
• Mirtha Silvana Garat de Marin^3,7,8
• Imran Ashraf^{8
  1}LAPSSII Laboratory, Graduate School of Technology, Cadi Ayyad University, Safi, Morocco.
  ²LTI Laboratory, ENSA, Chouaib Doukkali University, El Jadida, Morocco.
  ³Universidad Europea del Atlantico. Isabel Torres 21, 39011 Santander, Spain.
  ⁴Universidad Internacional Iberoamericana Campeche 24560, Mexico.
  ⁵Universidad de La Romana. La Romana, Republica Dominicana.
  ⁶Universidad Internacional Iberoamericana Arecibo, Puerto Rico 00613, USA.
  ⁷Universidade Internacional do Cuanza. Cuito, Bie, Angola.
  ⁸Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, South Korea.

Contact

If you have any questions or suggestions, feel free to contact us at a.chekry@uca.ac.ma.