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The paper presents a fuzzy extension of CODAS (COmbinative Distance-Based ASsessment) method which is called as interval-valued Atanassov intuitionistic fuzzy CODAS (IVAIF-CODAS) method for group decision making processes. The extended method considers interval-valued Atanassov intuitionistic fuzzy sets (IVAIFSs) to define the judgements of decisio...
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Financial management performance evaluation (FMPE) has a significant effect on the identifying an investment chance. We can usually consider FMPE as a multiple attribute group decision making (MAGDM) issue, and the MAGDM method is needed to address it. Uncertainty may be one of the significant factors which could influence the process of MAGDM. In...
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... In this part, we implemented three commonly used MCDM frameworks extended based on the IVIFSs and examined the differences between the results of the suggested tool and them. For this purpose, the WASPAS-IVIF (Zavadskas et al. 2014), TOPSIS-IVIF (Lamrani & Tkiouat, 2018), and CODAS-IVIF (Yeni & Özçelik, 2019) techniques were applied, and the obtained results of these approaches are presented in Fig. 4. According to the comparison results (Fig. 4), the option "Tesla S P100D model" (A8) was identified as the best option for the implemented MCDM frameworks. Also, there were slight deviations in some alternatives' preference ratings. ...
According to reports from international bodies such as the World Health Organization and the United Nations, transportation is one of the leading contributors to environmental pollution and climate change. Electric vehicles present a practical solution to reducing emissions, particularly for industrial users. However, industrial users’ selection of electric vehicles involves different dynamics than individual users, making it a more complex process for companies. This paper aims to evaluate the selection criteria for electric vehicle fleets among industrial users using a novel multi-criteria decision-making framework based on interval-valued intuitionistic fuzzy sets. The model assesses various factors influencing industrial users’ decisions and ranks the available electric vehicle options accordingly. The results indicate that driving range, purchase price, and charging time are the most influential factors in the decision-making process. Furthermore, the findings confirm that the Tesla Model S P100D is the most suitable option for industrial users, given its superior performance in these critical criteria.
... The decision rule is based on the distance from the extreme negative solution. This method has been used for ranking of suppliers, locations, personnel, renewable energy, material selection, and financial services, to name a few [17,29,79,82]. ...
... A correlation value of 0.900 shows consistency in the two ranking methods. This validates our model and it is similar to the results shown by past studies [14,79]. ...
Online reviews help customers make an informed purchasing decision, which is important for experience goods. The objective of this paper is to rank online retailers based on apparel quality evaluative criteria. For this, a multi-step methodology is adopted. Initially, topic modeling through Latent Dirichlet Allocation (LDA) is applied on the accessed women apparel dataset for extracting evaluative criteria. LDA resulted in criteria namely aesthetic, functionality, expressive, performance, extrinsic, and return policy. Moreover, a problem that online customers face while making a purchasing decision is to choose the best retailer from the abundant options. Thus, in this study, BWM (Best Worst Method) technique is utilized for calculating criteria weights and R-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is utilized for obtaining ranks of online apparel retailers. Further, the validation of the ranking method is done through CODAS (Combinative Distance based Assessment) method. Some implications for researchers and practitioners are provided at the end.
... The decision matrices shown in Tables 5 and 6 are obtained. The weight of each criterion is determined by the decision-makers' strategies for the criteria aggregated by the SWAM operator provided in Equation (13), which are shown in Table 8. SF are calculated using Equation (19) and Tables 11 and 12, which are based on Tables 9 and 10. ...
Decision-making plays a crucial role in achieving success across various scenarios, especially when confronted with complex issues inundated with abundant facts and information. Employing multi-criteria decision-making (MCDM) methods and techniques becomes particularly indispensable in tackling such formidable challenges. This study introduces novel neutrosophic SWGM and SWAM accuracy functions, which enhance traditional aggregation operators. Furthermore, it introduces the CODAS technique tailored for addressing Multiple Attribute Group Decision Making problems utilizing the newly defined operators. To exemplify the proposed methodology, a supplier selection problem is examined.
... Keshavarz et al. [22] proposed a new combined distance-based assessment (CODAS) method using Euclidean distance as the primary metric and Taxicab distance as the secondary metric to select the farthest alternative as the best solution. It is very interesting to explore the CODAS method for identifying the best reservoir operation rule since the method has an effective and stable result according to the sensitivity analysis as well as is widely used to deal with MCDM problems [23,24]. As a crucial parameter of reservoir drawdown operation, the annual drought-limited water level (DLWL), which is defined as the minimal drawdown water level during the drawdown period and is generally determined according to the needs of different water users, plays an important role in the drought defense. ...
The seasonal operation of drought-limited water level (DLWL) can efficiently boost the synergies of hydropower production and drought defense. For the first time, this study proposes a seasonal DLWL operation framework for mimicking reservoir drawdown operation to improve hydropower output and mitigate drought risk. Firstly, three statistical analysis methods were used to divide the drought season into three segments. And then, the simulation model of seasonal DLWL operation was configured to evaluate the effect of reservoir drawdown operation on risk and benefits. Lastly, the combined distance-based assessment method was employed to identify the best scheme of seasonal DLWL operation. The Three Gorges Reservoir sited in the Yangtze River of China constitutes the case study. The results suggested that the proposed framework could facilitate reservoir drawdown operation to achieve 2346.95 million kW·h (7.0% improvement) in hydroelectricity production and 3.3% in utilization efficiency of water resources, while could reduce 7.4% in drought risk. This study not only can provide scientific and technical support for reservoir drawdown operation benefiting synergies of hydropower generation and drought defense but also can suggest policymakers with various favorable strategies to experience potential risks and benefits of seasonal DLWL operation in the interest of sustainable hydropower development.
... There are currently a number of research directions devoted to proposing or modifying MCDM methods. In addition, the recent application of MCDM methods to peculiar fields or objects that have not previously utilized MCDM is also an intriguing development [6][7][8][9][10][11]. Chin-Yi Chen and Jih-Jeng Huang [12] proposed a hybrid method in MCDM problems that combines DBNs and AHP to model dynamic dependencies between criteria [12]. ...
The robot selection process for the welding industry has been one of the most difficult issues over the past several decades. Due to an upsurge in complexity, advanced technologies, and features that are continuously being added to robotics by several manufacturers, the decision-making process for robot selection is becoming increasingly complicated. Multi-criteria decision-making (MCDM) is crucial because it impacts the effectiveness of a robotics ranking and an operation as a whole. Given the circumstances of Vietnam’s businesses, it makes sense to have a process that makes robot selection more convenient. This paper proposes a novel procedure to identify the best spot-welding robot for Vietnamese enterprises. To be more specific, two MCDM methods, including ranking alternatives based on median similarity (RAMS) and ranking alternatives by perimeter similarity (RAPS), have been established. Each MCDM method is integrated in turn with two variants of the method based on the removal effects of criteria (MEREC-G and MEREC-H) to identify the optimal alternative. The results indicate that the proposal process can determine the best and worst alternatives, similar to other processes. Furthermore, when applying the proposed ranking process, adding or removing alternatives does not affect the ranking order. In addition, the alternative shuffle phenomenon does not appear during the ranking process. It reveals that the proposed procedure is more stable compared to the other MCDM approaches.
... Alternatifler H i değerlendirme puanına göre en yüksek H i değerine sahip alternatif en iyi alternatif olacak şekilde sıralanır.Yöntem, bir tekstil firmasına personel seçimi problemi(Tuş & Adalı, 2018;Yalçın & Yapıcı Pehlivan, 2019;Yeni & Özçelik, 2019), online alışveriş platformlarının değerlendirilmesi ...
... After that, Peng et al. (2017) presented the axiomatic definitions of distance measure, similarity measure and entropy measure for PFSs. Further studies on MCDM with fuzzy sets and aggregation operators can be found in Beliakov et al. (2007), Biswas and Sarkar (2018), Garg (2016), Garg and Arora (2021), Grabisch et al. (2009), Kahraman (2008), Olgun et al. (2019), Olgun et al. (2021a), Yeni and Özçelik (2019), Ünver et al. (2022a), Ünver et al. (2022b), Ye et al. (2022), Yolcu et al. (2021), Zhang and Xu (2014), Zeng et al. (2018). ...
In this paper, we introduce the concept of circular Pythagorean fuzzy set (value) (C-PFS(V)) as a new generalization of both circular intuitionistic fuzzy sets (C-IFSs) proposed by Atannassov and Pythagorean fuzzy sets (PFSs) proposed by Yager. A circular Pythagorean fuzzy set is represented by a circle that represents the membership degree and the non-membership degree and whose centre consists of non-negative real numbers μ and ν with the condition μ 2 + ν 2 1. A C-PFS models the fuzziness of the uncertain information more properly thanks to its structure that allows modelling the information with points of a circle of a certain centre and a radius. Therefore , a C-PFS lets decision makers to evaluate objects in a larger and more flexible region and thus more sensitive decisions can be made. After defining the concept of C-PFS we define some fundamental set operations between C-PFSs and propose some algebraic operations between C-PFVs via general triangular norms and triangular conorms. By utilizing these algebraic operations, we introduce some weighted aggregation operators to transform input values represented by C-PFVs to a single output value. Then to determine the degree of similarity between C-PFVs we define a cosine similarity measure based on radius. Furthermore, we develop a method to transform a collection of Pythagorean fuzzy values to a C-PFS. Finally, a method is given to solve multi-criteria decision making problems in circular Pythagorean fuzzy environment and the proposed method is practiced to a problem about selecting the best photovoltaic cell from the literature. We also study the comparison analysis and time complexity of the proposed method.
... When all these studies are examined, it is seen that the criteria examined with both basic and group decision-making techniques in personnel selection processes are handled with both quantitative and qualitative evaluations. Evaluation processes of candidate personnel, which is a field that is very open to interpretation with linguistic variables, are designed in a way that can evaluate the subjective judgments of decision-makers with research that integrates classical MCDM methods with fuzzy set theory (Sang, Liu & Quian, 2015;Ji, Zhang & Wang, 2018;Yeni & Özçelik;Krishankumar et al., 2020). ...
In today's globally competitive environment, sector managers are faced with various problems day by day. One of these problems is the selection of personnel, which is the most important element of an organization, in accordance with the job and workplace in terms of quality and quantity. The recruitment process consists of the stages of determining the expert group that will make the selection, determining the criteria to be used in the evaluation, and making a decision by evaluating the criteria. The most important step in this process is to determine the criteria in line with the needs of the sector. This situation becomes more special for sectors with long-term and strategic features such as the defense industry. In this study, it is aimed to determine the selection criteria with the group decision making method for the defense acquisition personnel, which is one of the keystones of the defense sector, and to examine the interaction of the criteria with each other. Comparisons of the experts on the criteria were made with a Multi-Criteria Decision Making (MCDM) method without discrimination of the working class (white, blue, gray, etc). The fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory) method was used in the study since the expert opinions on the criteria determined for the defense acquisition process are made with subjective expressions and it is used in the criteria analysis in various fields in the literature.
... According to the routing scenario, this study considers conflicting two main situations with the FP and risk situations of the paths and aim to achieve alternative routes in the network under uncertainty. Since the fuzzy set theory, proposed by Zadeh (1965) can readily handle this type of vague and imprecise situations in MCDM problems (Yeni & Özçelik, 2019), this case directs us to use fuzzy-based MCDM methods. To produce robust solutions to these possible real-life problems on computer networks, these criteria are represented by triangular fuzzy numbers proposed by Zadeh (1996) in our model for a multi-attribute computer network. ...
... After Zadeh (1965) presented the fuzzy set theory to operate the indefinite information, the popularity of the analysis of fuzzy counterparts regarding the MCDM framework has increased. In existing academic literature, there are many studies employing different fuzzy sets for uncertain environments, for example, see Boyacı and Şişman (2022), Özçelik and Nalkıran (2021), Ünver et al. (2022), Yeni and Özçelik (2019), Yılmaz, Özçelik, and Yeni (2020), Yılmaz, Öztayşi, Durmuşoğlu, and Öner (2017). The idea behind the fuzzy logic has been applied to show software reliability and security by Sahu, Alzahrani, Srivastava, and Kumar (2021), Sahu, Shree, and Kumar (2014), . ...
The network users need to evaluate the alternative transmission pathways to avoid some routing problems such as possible network attacks, data traffic, etc. in computer networks. In order to provide a mathematical solution to this situation, in this paper the computer network system is considered as a graph, and a random data structure denoted by Bloom filter is used to forward data between computers in the network. The Bloom filter has been used for encoding the routes minimises the query response time, although it has a significant risk of producing errors indicated by false positives (FP). The study aims to assess all paths between two distinct computers on a multi-attribute computer network considering risk and FP values regarding paths. These considerations are inherently vagueness. That being the case, a novel two-stage research methodology is presented to determine the desired pathways during message transmission on a multi-attribute computer network under uncertainty. At this point, the values of the possible risks and the probability of FP of the transmission edges are defined by employing triangular fuzzy numbers to reach the theoretical solutions. The novelty of the study is proposing a research methodology based on fuzzy Multi-Criteria Decision Making (MCDM) techniques to offer alternative routes during data transmission on any multi-attribute computer network under uncertainty for the first time. Further, a sensitivity analysis is implemented. In all computational analyses, the most appropriate and reliable transmission pathways are listed, and some managerial insights and main findings are provided for the network users.
... // We obtain an aggregated DI Magg of order s × n, which is alternatives × criteria 47 for k = 1 to m do 48 while j ≤ m do 49 Prod 1 = 1 50 Prod 2 = 1 for i = 1 to n do 51 ...
Due to insufficient healthcare facilities for the fight against cancer, a large percentage of individuals die. Utilizing computational tools inside the health and medical system helps to minimize fatalities. Timely cancer detection enhances the likelihood of effective therapy. Cancer risk assessment is important for legal and regulatory reasons, for cancer prevention, and to avoid the risks. The approach for assessing cancer risk based on the q-rung orthopair fuzzy set (q-ROFS) is described. The technique is predicated on a multifactor evaluation of the likelihood of a cancerous. q-ROFS is a robust approach for modeling uncertainties in multicriteria decision making (MCDM). The combinative distance-based assessment (CODAS) technique integrates two separate approaches, namely the “simple additive weighting” (SAW) method and the “weighted product method (WPM)”. In this study, the CODAS approach is extended to the q-rung orthopair fuzzy framework with application to cancer risk assessment. Additionally, the symmetry of the optimal decision in cancer risk assessment is carried out by a comparison analysis of the suggested model with some existing models.
