Results 1 to 10 of about 1,276 (117)
A Single-Valued Neutrosophic Extension of the EDAS Method [PDF]
Axioms, 2021 This manuscript aims to propose a new extension of the EDAS method, adapted for usage with single-valued neutrosophic numbers. By using single-valued neutrosophic numbers, the EDAS method can be more efficient for solving complex problems whose solution requires assessment and prediction, because truth- and falsity-membership functions can be used for ...
Darjan KARABASEVIC +2 more
exaly +3 more sources
An Enhancement EDAS Method Based on Prospect Theory
Technological and Economic Development of Economy, 2021 Decision-making is the process of carefully considering multiple options and choosing the best one. The EDAS (evaluation based on distance from average solution) method has been studied in many multi-attributes decision-making (MADM) problem which assumes decisionmaking under absolute rationality.
Yuhan Huang, Xudong Chen
exaly +4 more sources
Novel EDAS++ method: Interval type criteria and extension to EDAS [PDF]
Turisticko poslovanje, 2020 Multicriteria problems belong to poorly structured decision-making problems as they take place in conditions of stochasticity (indeterminacy). This primarily refers to the number of criteria and the complexity of their mutual relations between which there may be complete opposition, as well as to the methodologically diverse space for determining ...
openaire +2 more sources
A Simple Modification to the EDAS Method for Two Exceptional Cases
BOHR International Journal of Advances in Management Research, 2021 Multi-criteria decision-making (MCDM) methods and techniques have been applied to many real-world problems in different fields of engineering science and technology. The evaluation based on distance from average solution (EDAS) method is an efficient MCDM method.
openaire +2 more sources
Integrated Entropy-EDAS Methods for the Electrified Car Selection Problem
Kocaeli Journal of Science and Engineering, 2022 Increasing air pollution affects the environment and life negatively. For a sustainable environment and life, people, voluntary organizations, and governments need to work on the solution of this problem. The biggest sources of air pollution are transportation vehicles.
Elif ÇALOĞLU BÜYÜKSELÇUK +1 more
openaire +3 more sources
An Integrated Method Based on PSO and EDA for the Max-Cut Problem [PDF]
Computational Intelligence and Neuroscience, 2016 The max-cut problem is NP-hard combinatorial optimization problem with many real world applications. In this paper, we propose an integrated method based on particle swarm optimization and estimation of distribution algorithm (PSO-EDA) for solving the max-cut problem.
Geng Lin, Jian Guan 0007
openaire +3 more sources
Technology Selection Based on EDAS Cross-Efficiency Evaluation Method [PDF]
IEEE Access, 2019 Technology selection is an important part of enterprises sustainable development. The best technologies could create significant competitive advantages for an enterprise to realize its profit growth and capability improvement, and then realize its sustainable development. However, due to the complexity of technology selection, decision makers are faced
Jianping Fan 0005 +2 more
openaire +2 more sources
Business & Management Studies: An International Journal, 2022 The internet is becoming increasingly common worldwide, and the number of users is rapidly increasing. This condition offers up new business opportunities for online businesses. For online companies, high customer satisfaction corresponds with a competitive advantage.
Eda ÇINAROĞLU, Fulya ZARALI
openaire +2 more sources
Early Wildfire Smoke Detection Method Based on EDA
Remote SensingEarly wildfire smoke detection faces challenges such as limited datasets, small target sizes, and interference from smoke-like objects. To address these issues, we propose a novel approach leveraging Efficient Channel and Dilated Convolution Spatial Attention (EDA). Specifically, we develop an experimental dataset, Smoke-Exp, consisting of 6016 images,
Yang Liu 0465 +4 more
openaire +2 more sources
Selection of Cotton Fabrics Using EDAS Method
Journal of Natural Fibers, 2020 In this paper, a relatively new and mathematically potent tool of MCDM (Multi-Criteria Decision Making) in the form of EDAS (Evaluation based on Distance from Average Solution) approach has been proposed for ranking of thirteen candidate cotton fabrics on the basis of four fabric parameters/attributes namely cover, thickness, areal density, and ...
openaire +2 more sources