scholarly journals D NUMBERS – FUCOM – FUZZY RAFSI MODEL FOR SELECTING THE GROUP OF CONSTRUCTION MACHINES FOR ENABLING MOBILITY

2021 ◽  
Vol 19 (3) ◽  
pp. 447
Author(s):  
Darko Božanić ◽  
Aleksandar Milić ◽  
Duško Tešić ◽  
Wojciech Salabun ◽  
Dragan Pamučar
Keyword(s):  
Decision Making ◽  
Hybrid Model ◽  
Input Parameters ◽  
D Numbers ◽  
Weight Coefficients ◽  
Selection Of ◽  
Decision Making Support

The paper presents a hybrid model for decision-making support based on D numbers, the FUCOM method and fuzzified RAFSI method, used for solving the selection of the group of construction machines for enabling mobility. By applying D numbers, the input parameters for the calculation of the weight coefficients of the criteria were provided. The calculation of the weight coefficients of the criteria was performed using the FUCOM method. The best alternative was selected using the fuzzified method, which was conditioned by the specificity of the issue so that in this case, the selection of the best alternative was made using the fuzzified RAFSI method.

scholarly journals A New Group Decision-Making Technique under Picture Fuzzy Soft Expert Information

Entropy ◽  
2021 ◽  
Vol 23 (9) ◽  
pp. 1176
Author(s):  
Fairouz Tchier ◽  
Ghous Ali ◽  
Muhammad Gulzar ◽  
Dragan Pamučar ◽  
Ganesh Ghorai
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Hybrid Model ◽  
Group Decision Making ◽  
Group Decision ◽  
Intuitionistic Fuzzy ◽  
Proposed Model ◽  
Picture Fuzzy Sets ◽  
Selection Of ◽  
Illustrative Application

As an extension of intuitionistic fuzzy sets, the theory of picture fuzzy sets not only deals with the degrees of rejection and acceptance but also considers the degree of refusal during a decision-making process; therefore, by incorporating this competency of picture fuzzy sets, the goal of this study is to propose a novel hybrid model called picture fuzzy soft expert sets by combining picture fuzzy sets with soft expert sets for dealing with uncertainties in different real-world group decision-making problems. The proposed hybrid model is a more generalized form of intuitionistic fuzzy soft expert sets. Some novel desirable properties of the proposed model, namely, subset, equality, complement, union and intersection, are investigated together with their corresponding examples. Two well-known operations AND and OR are also studied for the developed model. Further, a decision-making method supporting by an algorithmic format under the proposed approach is presented. Moreover, an illustrative application is provided for its better demonstration, which is subjected to the selection of a suitable company of virtual reality devices. Finally, a comparison of the initiated method is explored with some existing models, including intuitionistic fuzzy soft expert sets.

scholarly journals A Novel Approach for the Selection of Power-Generation Technology Using a Linguistic Neutrosophic CODAS Method: A Case Study in Libya

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2489 ◽  
Author(s):  
Dragan Pamučar ◽  
Ibrahim Badi ◽  
Korica Sanja ◽  
Radojko Obradović
Keyword(s):  
Power Generation ◽  
Decision Making ◽  
Multicriteria Decision Making ◽  
Multicriteria Decision ◽  
Power Generation Technology ◽  
Weight Coefficients ◽  
Generation Technology ◽  
Linguistic Neutrosophic Numbers ◽  
Selection Of

Rapid increases in energy demand and international drive to reduce carbon emissions from fossil fuels have led many oil-rich countries to diversify their energy portfolio and resources. Libya is one of these countries, and it has recently become interested in utilizing its renewable-energy resources in order to reduce financial and energy dependency on oil reserves. This paper introduces an original multicriteria decision-making Pairwise-CODAS model in which the modification of the CODAS method was made using Linguistic Neutrosophic Numbers (LNN). The paper also suggests a new LNN Pairwise (LNN PW) model for determining the weight coefficients of the criteria developed by the authors. By integrating these models with linguistic neutrosophic numbers, it was shown that it is possible to a significant extent to eliminate subjective qualitative assessments and assumptions by decision makers in complex decision-making conditions. The LNN PW-CODAS model was tested and validated in a case study of the selection of optimal Power-Generation Technology (PGT) in Libya. Testing of the model showed that the proposed model based on linguistic neutrosophic numbers provides objective expert evaluation by eliminating subjective assessments when determining the numerical values of criteria. A sensitivity analysis of the LNN PW-CODAS model, carried out through 68 scenarios of changes in the weight coefficients, showed a high degree of stability of the solutions obtained in the ranking of the alternatives. The results were validated by comparison with LNN extensions of four multicriteria decision-making models.

scholarly journals Determining Weights in Multi-Criteria Decision Making Based on Negation of Probability Distribution under Uncertain Environment

Mathematics ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 191 ◽  
Author(s):  
Chao Sun ◽  
Shiying Li ◽  
Yong Deng
Keyword(s):  
Decision Making ◽  
Probability Distribution ◽  
Evidence Theory ◽  
Weight Coefficient ◽  
Multi Criteria Decision Making ◽  
Basic Probability ◽  
Fuzzy Degree ◽  
Infinite Set ◽  
Weight Coefficients ◽  
Selection Of

Multi-criteria decision making (MCDM) refers to the decision making in the limited or infinite set of conflicting schemes. At present, the general method is to obtain the weight coefficients of each scheme based on different criteria through the expert questionnaire survey, and then use the Dempster–Shafer Evidence Theory (D-S theory) to model all schemes into a complete identification framework to generate the corresponding basic probability assignment (BPA). The scheme with the highest belief value is then chosen. In the above process, using different methods to determine the weight coefficient will have different effects on the final selection of alternatives. To reduce the uncertainty caused by subjectively determining the weight coefficients of different criteria and further improve the level of multi-criteria decision-making, this paper combines negation of probability distribution with evidence theory and proposes a weights-determining method in MCDM based on negation of probability distribution. Through the quantitative evaluation of the fuzzy degree of the criterion, the uncertainty caused by human subjective factors is reduced, and the subjective error is corrected to a certain extent.

Towards the Applied Hybrid Model in Decision Making: Support the Early Diagnosis of Type 2 Diabetes

2012 ◽  
pp. 648-655 ◽  
Author(s):  
Andrea Carvalho Menezes ◽  
Placido Rogerio Pinheiro ◽  
Mirian Caliope Dantas Pinheiro ◽  
Tarcísio Pequeno Cavalcante
Keyword(s):  
Type 2 Diabetes ◽  
Decision Making ◽  
Early Diagnosis ◽  
Hybrid Model ◽  
Decision Making Support

scholarly journals Analysis of anti-armor missile systems using the hybrid model AHP-VIKOR method of multi-criteria decision-making

2021 ◽  
Vol 6 (1) ◽  
pp. 37-44
Author(s):  
Marko Radovanović ◽  
Aleksandar Milić ◽  
Milan Stevanović
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Hybrid Model ◽  
Multi Criteria Decision Making ◽  
Vikor Method ◽  
Ahp Method ◽  
Compromise Solutions ◽  
Basic Task ◽  
Missile System ◽  
Selection Of

The paper presents the selection of the best anti-armor missile system, as a significant weapon whose basic task is to neutralize tanks, armored combat and non -combat vehicles at different firing distances. The complexity of the problem is conditioned by the different tactical and technical characteristics of anti-tank missile systems and the specific conditions of their application have conditioned the application of the model of multi-criteria decision-making. The selection of the most favorable anti-armor missile system was realized using the hybrid model AHP -VIKOR. Using the AHP method, the values of the criterion coefficients were calculated. The VIKOR method was used to select the most favorable alternative (anti-armor missile system). Based on the obtained results, a set of compromise solutions was defined, on the basis of which the decision maker can decide on the selection of the best anti-armor missile system.

scholarly journals Modeling of neuro-fuzzy system as a support in decision-making processes

2021 ◽  
Vol 2 (1) ◽  
pp. 222-234
Author(s):  
Darko Bozanic ◽  
◽  
Duško Tešić ◽  
Dragan Marinkovic ◽  
Aleksandar Milić ◽  
...  
Keyword(s):  
Decision Making ◽  
Fuzzy System ◽  
System Modeling ◽  
Multi Criteria Decision Making ◽  
Neuro Fuzzy ◽  
Decision Making Processes ◽  
Model Training ◽  
Input Variables ◽  
Selection Of ◽  
Decision Making Support

In the paper is presented Neuro-Fuzzy System as a decision-making support in the selection of construction machines (the example of selecting a loader is provided). Construction characteristics of a loader make the basis for selection, but also other elements of importance. The data for Neuro-Fuzzy System modeling are prepared using the Multi-Criteria Decision Making (MCDM) methods: Logarithm Methodology of Additive Weights (LMAW), VIKOR, TOPSIS, MOORA and SAW. The paper also presents the method of aggregation of weights of rules premises (AWRP), which defines the key rules of Neuro-Fuzzy System. Finally, the training of the model is tested. The data for the selection of input variables and for model training are obtained by engaging experts.

Sign in / Sign up

Export Citation Format

Share Document