Pythagorean fuzzy soft set (PFSS) is the most influential and operative extension of the Pythagorean fuzzy set (PFS), which contracts with the parametrized standards of the substitutes. It is also a generalized form of the intuitionistic fuzzy soft set (IFSS) and delivers a well and accurate estimation in the decision-making (DM) procedure. The primary purpose is to prolong and propose ideas related to Einstein’s ordered weighted aggregation operator from fuzzy to PFSS, comforting the condition that the sum of the degrees of membership function and nonmembership function is less than one and the sum of the squares of the degree of membership function and nonmembership function is less than one. We present a novel Pythagorean fuzzy soft Einstein ordered weighted averaging (PFSEOWA) operator based on operational laws for Pythagorean fuzzy soft numbers. Furthermore, some essential properties such as idempotency, boundedness, and homogeneity for the proposed operator have been presented in detail. The choice of a sustainable supplier is also examined as an essential part of sustainable supply chain management (SSCM) and is considered a crucial multiattribute group decision-making (MAGDM) issue. In some MAGDM problems, the relationship between alternatives and uncertain environments will be the main reason for deficient consequences. We have presented a novel aggregation operator for PFSS information to choose sustainable suppliers to cope with those complex issues. The Pythagorean fuzzy soft number (PFSN) helps to represent the obscure information in such real-world perspectives. The priority relationship of PFSS details is beneficial in coping with SSCM. The proposed method’s effectiveness is proved by comparing advantages, effectiveness, and flexibility among the existing studies.
To run a business successfully, quality determination and customer relations are very important factors. Therefore, it is necessary to measure quality and identify critical points of business. In this paper, an original integrated model for measuring the service quality of reverse logistics (RL) was developed for the company Komunalac Teslić, which was used as an example. The Delphi and Full Consistency Method (FUCOM) was applied to determine the significance of the quality dimensions, while a modified SERVQUAL (SQ) model was used to measure the service quality of the logistics. An original SQ questionnaire was formed with a total of 21 statements that were arranged in five standard dimensions. Examining the reliability of the questionnaire for quality dimensions using the Cronbach Alpha coefficient, it was found that the measurement scales for dimensions are appropriate in terms of user expectations, while in terms of quality perception there is no measurement scale for the empathy dimension. An extensive statistical analysis was then performed to verify the results. A Signum test was applied to identify the relationship between the responses in terms of expectations and perceptions, i.e., to examine their differences. The findings obtained by this research show that the expectations were higher than the perceived quality of the services and that there was a significant statistical difference for 12 of the SQ statements. For two statements, there was a significant statistical difference in favor of perceived quality compared to expectations. Based on the results obtained, the company must improve its services in order for service quality to be at a satisfactory level.
The paper aims to present the results of study on how certain types of vehicles with malfunctioning technical parts affect traffic safety in the Republic of Serbia between 1997 and 2014. The following methods were used in the paper: statistical method, comparative method, analysis of frequency of defined traffic accident causes, Pearson linear correlation with a modelled algorithm for data processing. The technical malfunction of vehicles as a cause for accident occurrence has a share of 0,72% in the total number of accidents. The most common cause of accidents lies with malfunctioning lights or light-signalling devices on vehicles. The technical malfunction of vehicles has the highest value of 1,65% in accidents with fatalities and the biggest correlation between accidents at police district and accidents on national level is recorded with accidents in which only material damages were sustained. The research results can be used for comparison on regional level, so as for developing of the model of analysis of the causes of traffic accidents in Serbia and in the region.
In this work, we show the experience of the driver rehabilitation process in the Republic of Serbia, with the analysis of the rehabilitation process and the changing of the drivers’ attitudes. Before performing the analysis, we define the basic hypothesis (implementation of the sustainability model of E learning for the driver rehabilitation process will impact the driver attitude and minimize the mistakes). In the analysis, we take the most recognized mistakes in the process of education. Implementation of this model is exclusive for a group of candidates who finished the driver rehabilitation process. Using the database of drivers who made mistakes, we made the electronic database (video material with comments) and subsequently implemented the driver education model to assess who made mistakes in the rehabilitation process. In the test process, we used the two groups of candidates (age 18–30 and 31–40), before and after the implementation of this e-learning model. In order to process the data, taking into account the small number of observations further in the research, correlation analysis was used, which determines whether there is a correlation between the amount of alcohol in blood (expressed in g/kg) and the reaction time (in seconds) of a driver. In the second part of the work, correlation analysis was performed with the aim to examine which type of relation exists between the candidates who participated in the driver rehabilitation program and candidates that participated in the program of the proposed e-learning model. The results of this study offer a direction in which learning takes place by itself and affects the effective environment of e-learning, multimedia teaching, virtual practical content, and learning under the instruction of the lecturer in this target group of participants in the rehabilitation program. How many times have we believed that we have an ability and overestimated our-selves in that? You can be convinced in traffic only if you have to prove that ability. The results of the application of this model make it possible to prove that ability and change the opinion about the stated mistakes. The key goal of this work is to make the sustainability e-learning model based on mistakes, which will eliminate the same mistakes made by drivers. The result would be top training and high-quality performance in traffic.
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