scholarly journals Multi-criteria decision making method for models with the dominant criterion

Filomat ◽  
2017 ◽  
Vol 31 (10) ◽  
pp. 2981-2989 ◽  
Author(s):  
Miodrag Zizovic ◽  
Nada Damljanovic ◽  
Malisa Zizovic
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Multi Criteria Decision Making ◽  
Important Criterion ◽  
Decision Methods ◽  
Low Performance ◽  
Criteria Importance ◽  
Selection And Assessment

In all practical problems associated with the selection and assessment, almost always criteria have different importance. The priorities of criteria are expressed by weighted coefficients. Every decision maker has to establish criteria priority scale. This can be done directly - degrees of criteria importance defined by judgment of experts, or indirectly - degrees of criteria importance calculated by alternatives themselves. Many multi-criteria decision methods allow some kind of compensatory between criteria. The low performance on an important criterion can be redeemed in overall aggregation by good performance on few other less important criteria. In this paper, we present the method which provides that such an important piece of information must be preserved: If an alternative does not satisfy a dominant criterion, then its overall aggregation value is zero.

scholarly journals DECIDING THE BEST VEHICLE ALTERNATIVE BY USING A MULTI CRITERIA DECISION MAKING METHODOLOGY

2020 ◽  
Vol 5 (1) ◽  
pp. 108-114
Author(s):  
Muhammet AKPINAR ◽  
Muhammet YİĞİT ◽  
Erkan DOGAN ◽  
Mehmet AliÜSTÜNER
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Decision Maker ◽  
Selection Process ◽  
Industrial Engineering ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Bus Station ◽  
Criteria Importance ◽  
Hierarchy Process

Multi Criteria Decision Making is one of the main topics for Industrial Engineering which is especially use for decision making and for selection process. Analytic hierarchy process (AHP) is aheuristic methodology developed for analyze and estimate decisions. This methodology is also compare tangible and intangible digitizing criteria with respect to compare their priorities between each other and also it defines order of criteria importance. In this methodology experience and knowledge of decision maker is essential. In this way, it is easy to make subjective decision which has higher qualification. With this methodology, there will be vehicle selection and application for a University which use these vehicles to carry their students from bus station to university. To be able to solve this selection, budget, importance of system and other criteria will take into consideration.

New Einstein Hybrid Aggregation Operators for Intuitionistic Fuzzy Sets and Applications in Multi-Criteria Decision-Making

2019 ◽  
pp. 252-283
Author(s):  
Bhagawati Prasad Joshi ◽  
Abhay Kumar
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Decision Maker ◽  
Intuitionistic Fuzzy Sets ◽  
Aggregation Operators ◽  
Weighted Averaging ◽  
Multi Criteria Decision Making ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Decision Making Processes

The fusion of multidimensional intuitionistic fuzzy information plays an important part in decision making processes under an intuitionistic fuzzy environment. In this chapter, it is observed that existing intuitionistic fuzzy Einstein hybrid aggregation operators do not follow the idempotency and boundedness. This leads to sometimes illogical and even absurd results to the decision maker. Hence, some new intuitionistic fuzzy Einstein hybrid aggregation operators such as the new intuitionistic fuzzy Einstein hybrid weighted averaging (IFEHWA) and the new intuitionistic fuzzy Einstein hybrid weighted geometric (IFEHWG) were developed. The new IFEHWA and IFEHWG operators can weigh the arguments as well as their ordered positions the same as the intuitionistic fuzzy Einstein hybrid aggregation operators do. Further, it is validated that the defined operators are idempotent, bounded, monotonic and commutative. Then, based on the developed approach, a multi-criteria decision-making (MCDM) procedure is given. Finally, a numerical example is conducted to demonstrate the proposed method effectively.

A MODEL BASED ON INFLUENCE DIAGRAMS FOR MULTI-CRITERIA DECISION-MAKING

2012 ◽  
Vol 21 (04) ◽  
pp. 1250018 ◽  
Author(s):  
KARIMA SEDKI ◽  
VÉRONIQUE DELCROIX
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Decision Problem ◽  
Expert Knowledge ◽  
External Factors ◽  
Influence Diagrams ◽  
Multi Criteria Decision Making ◽  
Model Based ◽  
Decision Variables ◽  
Other Information

In this paper, we focus on multi-criteria decision-making problems. We propose a model based on influence diagrams; this model is able to handle uncertainty, represent interdependencies among the different decision variables and facilitate communication between the decision-maker and the analyst. The particular structure of the proposed model makes it possible to take into account the alternatives described by an attribute set, the decision-maker's characteristics and preferences, and other information (e.g., internal or external factors) that influence the decision. Modeling the decision problem in terms of influence diagrams requires a lot of work to gather expert knowledge. However, once the model is built, it can be easily and efficiently used for different instances of the decision problem. In fact, using our model simply requires entering some basic information, such as the values of internal or external factors and the decision-maker's characteristics. Our model also defines the importance of each criterion in terms of what is known about the decision maker, the quality index and the utility of each alternative.

scholarly journals NORMALIZED WEIGHTED GEOMETRIC BONFERRONI MEAN OPERATOR OF INTERVAL ROUGH NUMBERS – APPLICATION IN INTERVAL ROUGH DEMATEL-COPRAS

2018 ◽  
Vol 16 (2) ◽  
pp. 171 ◽  
Author(s):  
Dragan Pamučar ◽  
Darko Božanić ◽  
Vesko Lukovac ◽  
Nenad Komazec
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Multi Criteria Decision Making ◽  
Expert Evaluation ◽  
New Approach ◽  
Bonferroni Mean ◽  
Optimal Direction ◽  
Operational Information ◽  
Geometric Bonferroni Mean ◽  
Selection Of

This paper presents a new approach to the treatment of uncertainty and imprecision in multi-criteria decision-making based on interval rough numbers (IRN). The IRN-based approach provides decision-making using only internal knowledge for the data and operational information of a decision-maker. A new normalized weighted geometric Bonferroni mean operator is developed on the basis of the IRN for the aggregation of the IRN (IRNWGBM). Testing of the IRNWGBM operator is performed through the application in a hybrid IR-DEMATEL-COPRAS multi-criteria model which is tested on real case of selection of optimal direction for the creation of a temporary military route. The first part of hybrid model is the IRN DEMATEL model, which provides objective expert evaluation of criteria under the conditions of uncertainty and imprecision. In the second part of the model, the evaluation is carried out using the new interval rough COPRAS technique.

Proposing a new hybrid multi-criteria decision-making approach for road maintenance prioritization

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shakiba Sayadinia ◽  
Mohammad Ali Beheshtinia
Keyword(s):  
Decision Making ◽  
New Combination ◽  
Multi Criteria Decision Making ◽  
Important Criterion ◽  
Road Maintenance ◽  
Content Type ◽  
Electre Iii ◽  
Limited Budget ◽  
Copeland Method

PurposeThe purpose of this paper is to present a hybrid multi-criteria decision-making (MCDM) method, by combining the AHP, ELECTRE II, ELECTRE III, ELECTRE IV and Copeland techniques for road maintenance prioritization, in which the roads are evaluated and ranked based on various criteria. The proposed method is applied to four streets in Tehran, as a case study.Design/methodology/approachFirst, a set of criteria for road maintenance was determined and their weights were obtained using the AHP method. Four streets in Tehran, Iran were considered as alternatives and prioritized using the ELECTRE II, ELECTRE III and ELECTRE IV methods. Finally, the results of employing the three methods were integrated using the Copeland method and a final result was obtained.FindingsThe findings of the study suggested that “road safety” is the most important criterion in maintenance and “traffic volume” and “pavement quality index (PCI)” have the second and third rank in importance. Moreover, “The width of the street” is the least important criterion in road maintenance. Additionally, the streets' final ranking was obtained using the proposed method.Research limitations/implicationsThe proposed method helps managers effectively assign their limited budget and resources to roads with higher maintenance priority and as the result, increase the roads efficiency.Originality/valueIn this research, eight main criteria were collected using previous researches and experts' opinions. Also, a new combination of different MCDM techniques is proposed in this research.

scholarly journals Multi-Criteria Decision Making Method with Belief Preference Relations

2014 ◽  
Vol 22 (04) ◽  
pp. 573-590 ◽  
Author(s):  
Amel Ennaceur ◽  
Zied Elouedi ◽  
Eric Lefèvre
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Belief Function ◽  
Multi Criteria Decision Making ◽  
Preference Assessments ◽  
Preference Relations ◽  
Expert Opinions ◽  
Expert Assessments ◽  
Mcdm Method ◽  
Modeling Expert

In modeling Multi-Criteria Decision Making (MCDM) problem, we usually assume that the decision maker is able to elicitate his preferences with precision and without difficulty. However, in many situations, the expert is unable to provide his assessment with certainty or he is unwilling to quantify his preferences. To deal with such situations, a new MCDM model under uncertainty is introduced. In fact, we focus here on the problem of modeling expert opinions despite the presence of incompleteness and uncertainty in their preference assessments. Besides, our proposed solution suggests to model these preferences qualitatively rather than exact numbers. Therefore, we propose to incorporate belief preference relations into a MCDM method. The expert assessments are then formulated as a belief function problem since this theory is considered as a useful tool to model expert judgments.

Multi-Criteria Decision-Making Tools for Selection Photovoltaic Modules

2018 ◽  
Vol 27 ◽  
pp. 147-151
Author(s):  
Gabriela Demian ◽  
Mihai Demian ◽  
Stefan Radu ◽  
Sandu Dubovan
Keyword(s):  
Decision Making ◽  
Optimal Solution ◽  
Photovoltaic Module ◽  
Multi Criteria Decision Making ◽  
Photovoltaic Modules ◽  
Decision Methods ◽  
Pv Modules ◽  
Criteria For Selection

This paper presents aplying a multi-criteria decision methods to evaluate an optimum photovoltaic module for the construction of a solar park. In this work, seven number of alternative of photovoltaic modules and four criteria for selection is used for the optimal solution. The result from the research demonstrate which of the analyzed PV modules is the most convenient to be used for construction of a solar park.

scholarly journals A multi-criteria decision-making in turning process using the MAIRCA, EAMR, MARCOS and TOPSIS methods: A comparative study

2021 ◽  
Vol 16 (4) ◽  
pp. 443-456
Author(s):  
D.D. Trung ◽  
H.X. Thinh
Keyword(s):  
Decision Making ◽  
Surface Roughness ◽  
Removal Rate ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Feed Speed ◽  
Multi Criteria Decision Making ◽  
Turning Process ◽  
Decision Methods ◽  
Determination Methods

Multi-criteria decision-making is important and it affects the efficiency of a mechanical processing process as well as an operation in general. It is understood as determining the best alternative among many alternatives. In this study, the results of a multi-criteria decision-making study are presented. In which, sixteen experiments on turning process were carried out. The input parameters of the experiments are the cutting speed, the feed speed, and the depth of cut. After conducting the experiments, the surface roughness and the material removal rate (MRR) were determined. To determine which experiment guarantees the minimum surface roughness and maximum MRR simultaneously, four multi-criteria decision-making methods including the MAIRCA, the EAMR, the MARCOS, and the TOPSIS were used. Two methods the Entropy and the MEREC were used to determine the weights for the criteria. The combination of four multi-criteria making decision methods with two determination methods of the weights has created eight ranking solutions for the experiments, which is the novelty of this study. An amazing result was obtained that all eight solutions all determined the same best experiment. From the obtained results, a recommendation was proposed that the multi-criteria making decision methods and the weighting methods using in this study can also be used for multi-criteria making decision in other cases, other processes.

scholarly journals MULTI-CRITERIA DECISION-MAKING METHODS AND THEIR APPLICATIONS FOR HUMAN RESOURCES

2015 ◽  
Vol XL-6/W1 ◽  
pp. 31-37 ◽  
Author(s):  
M. G. D'Urso ◽  
D. Masi
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Human Resources ◽  
Optimal Choice ◽  
Fundamental Aspect ◽  
Multi Criteria Decision Making ◽  
Educational Achievements ◽  
Decision Methods ◽  
Professional Profile ◽  
Significant Support

Both within the formation field and the labor market Multi-Criteria Decision Methods (MCDM) provide a significant support to the management of human resources in which the best choice among several alternatives can be very complex. This contribution addresses fuzzy logic in multi-criteria decision techniques since they have several applications in the management of human resources with the advantage of ruling out mistakes due to the subjectivity of the person in charge of making a choice. Evaluating educational achievements as well as the professional profile of a technician more suitable for a job in a firm, industry or a professional office are valuable examples of fuzzy logic. For all of the previous issues subjectivity is a fundamental aspect so that fuzzy logic, due to the very meaning of the word fuzzy, should be the preferred choice. However, this is not sufficient to justify its use; fuzzy technique has to make the system of evaluation and choice more effective and objective. The methodological structure of the multi-criteria fuzzy criterion is hierarchic and allows one to select the best alternatives in all those cases in which several alternatives are possible; thus, the optimal choice can be achieved by analyzing the different scopes of each criterion and sub-criterion as well as the relevant weights.

scholarly journals Evaluation of rapeseed varieties using novel integrated fuzzy PIPRECIA – Fuzzy MABAC model

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246857
Author(s):  
Miroslav Nedeljković ◽  
Adis Puška ◽  
Suzana Doljanica ◽  
Saša Virijević Jovanović ◽  
Pavle Brzaković ◽  
...  
Keyword(s):  
Decision Making ◽  
Comparison Method ◽  
Assessment Method ◽  
Multi Criteria Decision Making ◽  
Vegetable Crops ◽  
Criteria Weights ◽  
Fuzzy Mcdm ◽  
Criteria Importance ◽  
Novi Sad ◽  
Importance Assessment

Decision making is constantly present in agriculture. Choosing the wrong variety carries the risk that the investment in terms of sowing does not pay off at all. Therefore, it is necessary to choose the variety that gives the best results. In order to achieve this, it is necessary to apply multi-criteria decision-making of available varieties, which is, in this paper, done on the example of hybrid varieties of rapeseed that were created by selection at the Institute of Field and Vegetable Crops in Novi Sad. By applying fuzzy logic, a novel integrated Multi-Criteria Decision-Making (MCDM) model is developed and rapeseed varieties were evaluated. For determining four main and 20 subcriteria, fuzzy PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method has been applied based on fuzzy Bonferroni operator, while for ranking alternatives fuzzy MABAC (Multi-Attributive Border Approximation area Comparison) method has been used. The results obtained using the novel integrated fuzzy MCDM model showed that the variety A2 – Zorica has the best results, followed by A1 - NS Ras, while the worst results were seen by the variety A5 - Zlatna. These results were confirmed using other five fuzzy MCDM methods. Sensitivity analysis—changing criteria weights showed the worst results in the variety A6 - Jovana, which took last place in the application of 18 scenarios. The presented model and the results of this research will help farmers to solve this decision problem.

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