SI: IFTBDADM
Other
Ceren Cubukcu; Cem Cantekin
Abstract
Covid-19 pandemic forced all the world to make significant changes in their daily routines. As a result, internet and digital technologies started to be used more ac-tively by individuals and businesses. Due to this digitalization, everyone is more open to digital threats. In order to provide the security ...
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Covid-19 pandemic forced all the world to make significant changes in their daily routines. As a result, internet and digital technologies started to be used more ac-tively by individuals and businesses. Due to this digitalization, everyone is more open to digital threats. In order to provide the security of the network, firewalls should be used. Firewalls act as a barrier between the internal and the external networks. Thus, it is more important than ever to choose the right firewall for each network. In this study, an integrated fuzzy-AHP (Analytic Hierarchy Pro-cess) and TOPSIS model is introduced to find out the most suitable firewall. A survey is designed and used to generate the data of this study. This study distin-guishes from other studies by proposing a solution which ranks the firewall al-ternatives using a combination of fuzzy-AHP and TOPSIS models. As a result, among the five different firewall alternatives, the second one is found out to be the best. A solution proposal ranking the firewall alternatives is new in the litera-ture. This approach is used in many different multi-criteria decision making (MCDM) problems before but not in firewall selection. Hence, this study can be considered quite innovative in terms of the problem it handles and the model used. It offers a new solution related to a decision making problem that has start-ed to gain more importance with the current digitalization process due to Covid-19 pandemic.
SI: IFTBDADM
Complex Fuzzy Sets and their variants
Orhan Engin; Meral İşler
Abstract
This paper deals with the fuzzy hybrid flow shop (FHFS) scheduling inspired by a real apparel process. A parallel greedy (PG) algorithm is proposed to solve the FHFS problems with setup time (ST) and lot size (LS). The fuzzy model is used to define the uncertain setup and processing time and due dates. ...
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This paper deals with the fuzzy hybrid flow shop (FHFS) scheduling inspired by a real apparel process. A parallel greedy (PG) algorithm is proposed to solve the FHFS problems with setup time (ST) and lot size (LS). The fuzzy model is used to define the uncertain setup and processing time and due dates. The setup and processing times are defined by a triangular fuzzy number. Also, the fuzzy due date (FDD) is denoted by a doublet. The tardiness, the tardy jobs, the setup and idle time, and the total flow time are minimized by the proposed PG algorithm. The effectiveness of the proposed PG algorithm is demonstrated by comparing it with the genetic algorithm in the literature. A real-world application in an apparel process is done. According to the results, the proposed PG algorithm is an efficient heuristic method for FHFS scheduling problems with ST and LS in real-world applications.
SI: IFTBDADM
Z-numbers and their variants
Nik Muhammad Farhan Hakim Nik Badrul Alam; Ku Muhammad Naim Ku Khalif; Nor Izzati Jaini; Ahmad Syafadhli Abu Bakar; Lazim Abdullah
Abstract
In fuzzy decision-making, incomplete information always leads to uncertain and partially reliable judgements. The emergence of fuzzy set theory helps decision-makers in handling uncertainty and vagueness when making judgements. Intuitionistic fuzzy numbers (IFN) measure the degree of uncertainty better ...
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In fuzzy decision-making, incomplete information always leads to uncertain and partially reliable judgements. The emergence of fuzzy set theory helps decision-makers in handling uncertainty and vagueness when making judgements. Intuitionistic fuzzy numbers (IFN) measure the degree of uncertainty better than classical fuzzy numbers, while Z-numbers help to highlight the reliability of the judgements. Combining these two fuzzy numbers produces intuitionistic Z-numbers (IZN). Both restriction and reliability components are characterized by the membership and non-membership functions, exhibiting a degree of uncertainties that arise due to the lack of information when decision-makers are making preferences. Decision information in the form of IZN needs to be defuzzified during the decision-making process before the final preferences can be determined. This paper proposes an intuitive multiple centroid defuzzification of IZN. A novel multi-criteria decision-making (MCDM) model based on IZN is developed. The proposed MCDM model is implemented in a supplier selection problem for an automobile manufacturing company. An arithmetic averaging operator is used to aggregate the preferences of all decision-makers, and a ranking function based on centroid is used to rank the alternatives. The IZN play the role of representing the uncertainty of decision-makers, which finally determine the ranking of alternatives.
Research Paper
Fuzzy sets and their variants
Taraneh Javanbakht; Shivanjan Chakravorty
Abstract
The present paper proposes a new application of the prediction of human behavior using TOPSIS as an appropriate tool for data optimization. Our hypothesis was that the analysis of the candidates with this method was influenced by the change of their behavior. We found that the behavior change could occur ...
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The present paper proposes a new application of the prediction of human behavior using TOPSIS as an appropriate tool for data optimization. Our hypothesis was that the analysis of the candidates with this method was influenced by the change of their behavior. We found that the behavior change could occur in more than one time span when the behavior of two candidates changed simultaneously. One of the advantages of this study is that the pattern of the behavior change with time is predicted with this method. Another advantage is that the modifications in the TOPSIS algorithm has made the predictions independent from the need of changing the fuzzy membership degrees of the candidates. This is the first time that these modifications in this technique with a new application including the numerical analysis of cognitive data are reported. Our results can be used in cognitive science, experimental psychology, cognitive informatics and artificial intelligence.
Research Paper
Type-2 fuzzy sets and their variants
Mahmut Dirik
Abstract
In this study, a hybrid model for prediction issues based on IT2FLS and particle swarm optimization (PSO) is proposed. The main contribution of this paper is to discover the ideal strategy for creating an optimal value vector to optimize the membership function of the fuzzy controller. It should be emphasized ...
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In this study, a hybrid model for prediction issues based on IT2FLS and particle swarm optimization (PSO) is proposed. The main contribution of this paper is to discover the ideal strategy for creating an optimal value vector to optimize the membership function of the fuzzy controller. It should be emphasized that the optimized fuzzy controller is a type 2 interval fuzzy controller, which is better than a type 1 fuzzy controller in handling uncertainties. The type-2 fuzzy set domain's limiting membership functions are type-1 fuzzy sets, which explains the trace of uncertainty in this situation. The proposed optimization strategy was tested utilizing ECG signal data. The accuracy of the proposed IT2FLS PSO estimation technique was evaluated using a number of performance metrics (MSE, RMSE, Error Mean, Error STD). The simulation results show that the PSO is effective in designing optimal type 2 intermittent fuzzy controllers. The experimental results show that the proposed optimization strategy significantly improves the prediction accuracy.
Research Paper
Fuzzy sets and their variants
Ibrahim Mohamed Mekawy
Abstract
Fractional problem (FP) is a decision problem arises to optimize the ratio subject to constraints. In real-world decision scenarios, decision makers (DMs) may be asked to compare inventory to sales, actual cost to standard cost, output to employee, and so on., with both the numerator and denominator ...
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Fractional problem (FP) is a decision problem arises to optimize the ratio subject to constraints. In real-world decision scenarios, decision makers (DMs) may be asked to compare inventory to sales, actual cost to standard cost, output to employee, and so on., with both the numerator and denominator are linear. If only one ratio is taken into account, as an objective function and the constraints are linear, then the problem is said to be linear fractional programming (LFP) problem. This paper deals with a multi- objective linear fractional programming problem in fuzzy environment. The problem is considered by introducing all the parameters as piecewise quadratic fuzzy numbers. Through the use of the associated real number of the close interval approximation and the order relation of the piecewise quadratic fuzzy numbers, the problem is transformed into the corresponding crisp problem A proposed method introduces to generate ideals and the set of all fuzzy efficient solutions. A numerical example is given illustrate the method.
Research Paper
Fuzzy sets and their variants
Irem Ucal Sari; Umut Ak
Abstract
Industry 4.0 implementations are competitive tools of recent production systems in which complex computerized systems are employed. The efficiency of these systems is generally measured by data envelopment analysis (DEA) under certainty. However, the required data in modeling the system involve a high ...
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Industry 4.0 implementations are competitive tools of recent production systems in which complex computerized systems are employed. The efficiency of these systems is generally measured by data envelopment analysis (DEA) under certainty. However, the required data in modeling the system involve a high degree of uncertainty, which necessitates the usage of fuzzy set theory. Fuzzy DEA models can successfully handle this problem and present efficient solutions for Industry 4.0 implementation. In this paper, the efficiency of Industry 4.0 applications is measured by classical DEA and fuzzy DEA models, allowing the variables to have different units of measurement and to be independent of analytical production functions. Besides that, fuzzy algorithms for output-oriented DEA are proposed for BBC and CCR models. To the best of our knowledge, this article is the first quantitative academic study to measure the effects of Industry 4.0 applications on productivity. It also shows how fuzzy factors can affect decision-making by comparing fuzzy and classical DEA results. A real application of the models is realized in a company of home appliances manufacturing sector having Industry 4.0 applications. The effect of Industry 4.0 implementation on machine productivity and the superiority of fuzzy DEA over classical DEA are shown through the application.
SI: IFTBDADM
Other
Mehmet Karahan; Furkan Lacinkaya; Kaan Erdonmez; Eren Deniz Eminağaoğlu; Coşku Kasnakoğlu
Abstract
In recent years, development of the machine learning algorithms has led to the creation of intelligent surveillance systems. Thanks to the machine learning, it is possible to perform intelligent surveillance by recognizing people's facial features, classifying their age and gender, and detecting objects ...
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In recent years, development of the machine learning algorithms has led to the creation of intelligent surveillance systems. Thanks to the machine learning, it is possible to perform intelligent surveillance by recognizing people's facial features, classifying their age and gender, and detecting objects around instead of ordinary surveillance. In this study, a novel algorithm has been developed that classifies people's age and gender with a high accuracy rate. In addition, a novel object recognition algorithm has been developed that detects objects quickly and with high accuracy. In this study, age and gender classification was made based on the facial features of people using convolutional neural network architecture. Secondly, object detection was performed using different machine learning algorithms and the performance of the different machine learning algorithms was compared in terms of median average precision and inference time. The accuracy of the age and gender classification algorithm was tested using the Adience dataset and the results were graphed. The experimental results show that age and gender classification algorithms successfully classify people's age and gender. Then, the performances of object detection algorithms were tested using the COCO dataset and the results were presented in graphics. The experimental results stress that machine learning algorithms can successfully detect objects.
Research Paper
Linguistic term sets and their variants
Masoomeh Zeinalnezhad; Somaieh Alavi; Emad Mousavi
Abstract
Green Project Management (GPM) involves a set of management actions to identify and evaluate the impact of activities on the environment and to control and improve performance. Accordingly, the concepts of lean, agility and resilience have a special place as driving forces because they can play an important ...
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Green Project Management (GPM) involves a set of management actions to identify and evaluate the impact of activities on the environment and to control and improve performance. Accordingly, the concepts of lean, agility and resilience have a special place as driving forces because they can play an important role in improving the environment. Therefore, the present study is conducted with the aim of identifying and prioritizing green project management activities. They are introduced based on the principles of project management knowledge set and considering the concept of green. Then, by considering the concepts of resilience, agility and purity as research criteria using Fuzzy Hierarchical Analysis Process, activities are prioritized. This study has a pairwise comparison questionnaire that data are collected from construction industry experts. The incompatibility rate index is used to determine the reliability of the questionnaire. The results show that the five activities of green project management are identifying a team that can align the project with environmental policies. Development, Documentation of the project charter; Setting goals in the project charter; Quality control, Cost, Planning, Safety of environmental activities, and Preparation of green project management programs, respectively, should be given more attention.
