scholarly journals Multi-Criteria Decision-Making Method Based on Simplified Neutrosophic Linguistic Information with Cloud Model

Symmetry ◽  
2018 ◽  
Vol 10 (6) ◽  
pp. 197 ◽  
Author(s):  
Jian-Qiang Wang ◽  
Chu-Quan Tian ◽  
Xu Zhang ◽  
Hong-Yu Zhang ◽  
Tie-Li Wang
Keyword(s):  
Decision Making ◽  
Cloud Model ◽  
Multi Criteria Decision Making ◽  
Linguistic Information

scholarly journals APPLICATION OF FUZZY ELECTRE METHOD WITH TRAPEZOIDAL FUZZY NUMBERS

World Science ◽  
2021 ◽  
Author(s):  
Salimov Vagif Hasan Oglu
Keyword(s):  
Decision Making ◽  
Test Problem ◽  
Fuzzy Numbers ◽  
Weighted Average ◽  
Practical Implementation ◽  
Pairwise Comparisons ◽  
Multi Criteria Decision Making ◽  
Linguistic Information ◽  
Application Problem ◽  
Electre Method

The article is devoted to the problem of multi-criteria decision-making. Methods for solving this problem can be divided into two large groups:methods using the aggregation of all alternatives according to all criteria and the solution of the resulting single-criterion problem. The second group isassociated with the procedure of pairwise comparisons and stepwise aggregation. The first group includes methods: weighted average sum,product and their various modifications, the second group includes - AHP, ELECTRE, TOPSIS, PROMETHEE, ELECTRE. For many problemsassessment of the criteria implemented by experts and presented in linguistic form. The effective approach for dealing with linguistic information is fuzzyset theory proposed by L. Zadeh. In this paper is proposed fuzzy ELECTRE method. This method is presented in details. As application problem is usedthe equipment selection problem The issues of practical implementation of this method are discussed in details. The results of the solution test problem at all stages are presented.

scholarly journals Using Different Qualitative Scales in a Multi-Criteria Decision-Making Procedure

Mathematics ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 458 ◽  
Author(s):  
Raquel González del Pozo ◽  
Luis C. Dias ◽  
José Luis García-Lapresta
Keyword(s):  
Decision Making ◽  
Stochastic Approach ◽  
Decision Problems ◽  
Multi Criteria Decision Making ◽  
Proximity Measure ◽  
Qualitative Information ◽  
Linguistic Terms ◽  
Linguistic Information ◽  
Homogenization Process

Many decision problems manage linguistic information assessed through several ordered qualitative scales. In these contexts, the main problem arising is how to aggregate this qualitative information. In this paper, we present a multi-criteria decision-making procedure that ranks a set of alternatives assessed by means of a specific ordered qualitative scale for each criterion. These ordered qualitative scales can be non-uniform and be formed by a different number of linguistic terms. The proposed procedure follows an ordinal approach by means of the notion of ordinal proximity measure that assigns an ordinal degree of proximity to each pair of linguistic terms of the qualitative scales. To manage the ordinal degree of proximity from different ordered qualitative scales, we provide a homogenization process. We also introduce a stochastic approach to assess the robustness of the conclusions.

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