scholarly journals An Evaluation Model of Quantitative and Qualitative Fuzzy Multi-Criteria Decision-Making Approach for Location Selection of Transshipment Ports

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Ji-Feng Ding ◽  
Chien-Chang Chou
Keyword(s):  
Decision Making ◽  
Distance Measure ◽  
Evaluation Model ◽  
Multi Criteria Decision Making ◽  
Location Selection ◽  
Container Logistics ◽  
Proposed Model ◽  
Fuzzy Mcdm ◽  
Selection Of

The role of container logistics centre as home bases for merchandise transportation has become increasingly important. The container carriers need to select a suitable centre location of transshipment port to meet the requirements of container shipping logistics. In the light of this, the main purpose of this paper is to develop a fuzzy multi-criteria decision-making (MCDM) model to evaluate the best selection of transshipment ports for container carriers. At first, some concepts and methods used to develop the proposed model are briefly introduced. The performance values of quantitative and qualitative subcriteria are discussed to evaluate the fuzzy ratings. Then, the ideal and anti-ideal concepts and the modified distance measure method are used in the proposed model. Finally, a step-by-step example is illustrated to study the computational process of the quantitative and qualitative fuzzy MCDM model. The proposed approach has successfully accomplished our goal. In addition, the proposed fuzzy MCDM model can be empirically employed to select the best location of transshipment port for container carriers in the future study.

scholarly journals A Novel Dynamic Multi-Criteria Decision Making Method Based on Generalized Dynamic Interval-Valued Neutrosophic Set

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 618 ◽  
Author(s):  
Nguyen Tho Thong ◽  
Florentin Smarandache ◽  
Nguyen Dinh Hoa ◽  
Le Hoang Son ◽  
Luong Thi Hong Lan ◽  
...  
Keyword(s):  
Decision Making ◽  
Evaluation Model ◽  
Real Life ◽  
Decision Makers ◽  
Neutrosophic Set ◽  
Multi Criteria Decision Making ◽  
Neutrosophic Sets ◽  
Proposed Model ◽  
Interval Valued ◽  
Knowledge Evaluation

Dynamic multi-criteria decision-making (DMCDM) models have many meaningful applications in real life in which solving indeterminacy of information in DMCDMs strengthens the potential application of DMCDM. This study introduces an extension of dynamic internal-valued neutrosophic sets namely generalized dynamic internal-valued neutrosophic sets. Based on this extension, we develop some operators and a TOPSIS method to deal with the change of both criteria, alternatives, and decision-makers by time. In addition, this study also applies the proposal model to a real application that facilitates ranking students according to attitude-skill-knowledge evaluation model. This application not only illustrates the correctness of the proposed model but also introduces its high potential appliance in the education domain.

Strategic Decision Making for Outsourcing Information Systems with a Fuzzy Multi-criteria Decision-Making Approach

2018 ◽  
Vol 6 (8) ◽  
pp. 6
Author(s):  
Mahmoud Modiri ◽  
Mohammad Dashti
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Strategic Decision ◽  
Multi Criteria Decision Making ◽  
Service Support ◽  
Proposed Model ◽  
Network Process ◽  
Selection Of

Today, IS supplier selection is one of the most critical steps in the outsourcing process; the success of outsourcing is highly dependent on the selection of IS suppliers. This paper proposes a new hybrid fuzzy multi-criteria decision-making (MCDM) model, which uses decision-making trial and evaluation laboratory (DEMATEL) technique, analytic network process (ANP), and Vlse Kriterijumska Optimizacija I Kompromisno Resenje(VIKOR) to evaluate four potential suppliers using seven factors and five decision makers using a realistic case study. the results showed that Service support is importance for outsourcing. The proposed model can help practitioners improve their decision making process.

Multi-Criteria Decision Making in Manufacturing Systems

2019 ◽  
pp. 80-107
Author(s):  
Hande Erdoğan Aktan ◽  
Ömür Tosun
Keyword(s):  
Decision Making ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Decision Makers ◽  
Smart Factory ◽  
Multi Criteria Decision Making ◽  
Structural Modelling ◽  
Location Selection ◽  
The Relationship ◽  
Selection Of

In this study, an Industry 4.0-oriented electronical goods producer company's smart facility location selection problem is analyzed. The proposed problem is evaluated under environmental, economic, social, and technological criteria. The relationship between criteria are analyzed with interpretive structural modelling (ISM) and Matrice d'Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC) methods. ISM method is used to assess the mutual relation of the criteria and their dependencies, whereas the MICMAC method is used to identify the importance of criteria based on their driving and dependence power. It is expected the methods used in this study which are related to evaluation of the criteria affecting the selection of the plant for a smart factory and the results of it will be useful for decision-makers and practitioners to categorize and differentiate the criteria. This study will be one of the first spearheading research to evaluate the criteria for establishing a smart factory.

THE DETERMINATION OF MARINE TRAINING WITH FUZZY MULTI CRITERIA DECISION MAKING APPROACH

JOURNAL ASRO ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 129
Author(s):  
Wisono Setiawan ◽  
Okol S Suharyo
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Weapon System ◽  
Fuzzy Mcdm ◽  
Further Development ◽  
Selection Of ◽  
Decision Making Criteria

ABSTRACT Navy as a marine security defense force has an Integrated Armored Weapon System (SSAT), one of them is the power of Submarine and the amount of it will continue to evolve. The current condition demands to perform development and review of strategic and optimal submarine training areas to support the exercise and preparedness of the submarine's strength to prepare the readiness of combat conditions. The purpose of this study was to determine the best criteria for the location of the submarine training by analyzing and reviewing some of the existing locations of Navy Submarine Exercise practice and doing further development. In the selection of submarine training criteria, the method used was the Fuzzy Multiple Decision-Making Criteria (FMCDM).  Keywords: Determination Criteria, Training Location, Fuzzy MCDM

scholarly journals Multi-Criteria Decision-Making Model Evaluating the Performance of Vietnamese Commercial Banks

2017 ◽  
Vol 9 (1) ◽  
pp. 132 ◽  
Author(s):  
Dinh Xuan Cuong ◽  
Hoang Thi Hien ◽  
Tran Long
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Commercial Banks ◽  
Decision Model ◽  
Evaluation Model ◽  
Multi Criteria Decision Making ◽  
Proposed Model ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Research Show

The commercial banks (CBs) performance evaluating has been a necessary problem in currently integration trend and usually implemented by a committee of experts under criteria selected. Therefore, it is considered as a Multi - Criteria Decision - Making model (MCDM). Nowadays, there have been many researches proposing various standards and models to evaluate and rank CBs. But in Vietnam, the number of studies related to the Vietnamese banking evaluation model have still been limited. As a result, this study develops a multi-criteria decision model integrating Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy the Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS). The proposed model has evaluated and ranked five Vietnamese commercial banks including CTG, VCB, BIDV, TCB and MB. The paper revealed their ranks. Besides, the results of the research show that the Analytical Hierarchy Process (AHP) model is suitable for applying it to the process evaluating bank performance.

scholarly journals MCDM approach for weighted ranking of candidates in e-voting

2019 ◽  
Vol 86 ◽  
pp. 8-22 ◽  
Author(s):  
Rasim Alguliyev ◽  
Ramiz Aliguliyev ◽  
Farhad Yusifov
Keyword(s):  
Decision Making ◽  
Numerical Study ◽  
Ranking And Selection ◽  
Multi Criteria Decision Making ◽  
Linguistic Variables ◽  
Multi Criteria Evaluation ◽  
Qualified Personnel ◽  
Proposed Model ◽  
Decision Making Model ◽  
Selection Of

The aim of the study is the application of multi-criteria evaluation methods for ranking of candidates in e-voting. Due to the potential to enhance the electoral efficiency in e-voting multiple criteria, such as personality traits, activity and reputation in social media, opinion followers on election area and so on for the selection of qualified personnel can be considered. In this case, the number of criteria excesses in the decision-making stage directed us to the use of a multi-criteria decision making model (MCDM). This paper proposes MCDM for weighted ranking of candidates in e-voting. Criteria for the candidates’ ranking and selection are determined and each voter uses the linguistic scales for the ranking of each candidate. Candidates’ ranking is evaluated according to all criteria. In a numerical study, it is provided the candidates’ evaluation on the base of selected criteria and ranked according to the importance of criteria. To assess the importance of the criteria and to evaluate the suitability of the candidates for each of the criteria, the voters use linguistic variables. In practice, the proposed model can use different evaluation scales for the selection of candidates in e-voting. The proposed model allows selecting a candidate with the competencies based on the criteria set out in the e-voting process and making more effective decisions.

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