amir azarfar

Managing the process of attracting and transforming the status of faculty members of universities and higher education institutions is one of the important categories This article emphasizes that attracting expert and committed professors has a significant impact on university performance.. The purpose of the research is to analyze the performance of faculty members based on the inputs of the process of attracting and transforming the situation with the fuzzy data mining approach. Among the methods of performance analysis is data collection and analysis with data mining. The research method was using neural fuzzy data mining to analyze the performance of faculty members. This research deals with the design of neural fuzzy system to analyze the personality and performance of the faculty members recruited and converted. For this purpose, 16 personality data and 2 functional data of 1000 faculty members were recruited and transformed, firstly, they were collected, cleaned and reduced, and finally, the fuzzy neural network model was designed with machine learning methods, genetic algorithm and Ril algorithm. The implementation tool is MATLAB software. The research findings of designing a model with fuzzy neural network and Ril algorithm with the validity of high correlation coefficient and low MSE in evaluating the scientific and general competence of faculty members. From the results of the research, it is predicted that the faculty members have stable, influential, honest personality traits in general competence and extrovert, stable, influential, truthful in scientific competence to attract and transform the situation.

Nowadays, quality management is an important field for organizations, including the banking system, which faces fierce competition. Organizational Excellence Models serve as guides to help organizations improve their quality. The main aim of this study was to investigate the dynamic relationships between the approaches and criteria of the EFQM organizational excellence model and optimize the simulation of these relationships. To do this, we first identified the common approaches in the organizational excellence model and clustered them using the fuzzy clustering method. Next, we used the systems dynamics method of causal rings to discover the dynamic relationships between these approaches. Finally, using data from the banking system in Iran, we simulated cases and optimized the growth rate of organizational excellence in the sample over 20 years (2018-2019).

One of the approaches used by companies to gain competitive advantage in today's uncertain and competitive environment is supply chain management. The strategic aspect of the supply chain has made it more important to identify and evaluate the risks of the chain. Despite the increasing attention paid to supply chain risk management by users and academics, little research has been done on assessing supply chain risks in the field of service. Given the substantial differences in product and service supply chain models, this study, while introducing the role of the insurance industry's supply chain players, seeks to identify and evaluate the risks of the chain with a basic agent simulation approach.In this study, based on the Service Lens Based Factor Survey method, according to insurance experts, factors and risks of the insurance industry supply chain were identified using parameters extracted from statistical reports and financial statements and The probability and magnitude of the effects of each of the identified risks in both normal and critical situations, two performance indicators of the insurance companies, namely profit and loss ratio for the three selected companies, during 1393-1408 Simulated on Netlogo software environment. By testing, executing and analyzing the results of multiple simulation times, he results of the study, show the extent of change in the profit and loss parameters in relation to the insurance industry's supply chain risks, under normal and critical conditions over different years

It is clear to everyone that in this period, one of the key factors of economic growth of countries is the knowledge-based economy, and in the meantime, the existence of knowledge-based companies forms the main infrastructure for achieving this important goal. This article was conducted with the aim of developing knowledge-based companies with an emphasis on their business processes.

For this purpose, business processes were reviewed through a literary review and due to the comprehensiveness of the EFQM model, it was selected for further review. Then, 9 companies were identified as targets, located in the organization's growth center, interviews and the injuries of these companies were identified. Then, decision-making and coordination mechanisms according to the integrity of organizational processes, programs and approaches of large companies in the Excellence Award statement of the organization were reviewed and the approaches used by these companies were extracted and categorized. In this way, the opinions of experts in this field were used to adjust the programs and approaches. Finally, a model based on system dynamics was designed to investigate the key processes of acquiring knowledge-based businesses.

Since increasing the score of EFQM model is considered as increasing the probability of company growth, so it is possible to use this model to provide solutions for the growth of knowledge-based companies.

In this paper, simulation and mathematical models are used to develop the performance of knowledge-based companies and simultaneously analyze the damage of companies and compare it with a comprehensive model, so that appropriate solutions to improve processes can be predicted.

One of the methods are used to assess and evaluate employees is the evaluation center. Evaluation centers usually have good validity at the tool level, but there are weaknesses at the model level of estimating the final score of evaluation centers. This research is designed to provide a method to estimate the final score of assessment centers based on the concept of risk and taking into account interpersonal differences. For this purpose, the data of the evaluation center of 800 managers of the country has been used. In this research, nine different models have been designed and evaluated, and finally, the model with the lowest error rate is presented as the selected model.

One of the methods used to measure and evaluate employees is the assessment center. Assessment centers usually have good validity at the instrumental level, but have weaknesses at the summation level. This research seeks to provide a fuzzy system for estimating AC final scores based on competency, intelligence and personality scores by modeling mentality of experts in this field. For this purpose, the data of the assessment center and expert’s opinion have collected and finally a model has been presented to combine these three categories of concepts. The developed model has three sets of trapezoidal fuzzy numbers and 27 rules. In order to validate this model, the data of 116 managers of the country and the simulation of Monte Carlo were used, and it is clear that competence, intelligence and personality are the most important parameters, respectively, in the final score of the evaluation center

Academic international interactions are one of the most important prerequisites for building sustainable scientific relations between individuals and academic institutions active . throughout the world. These hands-on interactions for Imam Sadegh Ali-Salam University, which set the prospect of "Islamic University of reference", find it necessary to double. This research attempts to identify the mentality of the managers of this university about its international interactions based on Q methodology.

For this purpose, extraction of 236 discourse propositions from first-hand sources and their conversion into 41 Quo's statements and 32 interviews were finally identified.

Four groups of subjectivity were identified. Also, based on interviews, three fundamental issues in this area, including self-censorship or organizational life, the spirit of supreme management, and structural imbalances, were identified, for each one, proposals were also presented.

Corporate transparency is one of the key subjects in stock market transparency. Securities and Exchange Organization (SEO) uses punishment and punishing rules to increase market transparency but this approach is somehow minimalistic and traditional while using utilizing rules as a modern approach creates great improvement in Tehran Exchange Market transparency. In this paper utilizing rules designed and extracted from legal documents and Agent based Simulation predicted number of transparent corporations in ten years of simulation with top ten rule with stochastic rules. Simulation model simulated for 10 times and Results Showed that with implementation of each top ten rule 13 to 27 percent of corporations expose their information voluntarily without any force in the market. 41 to 68 percent of corporations will be transparent if all the top ten rules implemented. The results showed that using utilizing and persuasive approach with punitive approach can create great improvement in market transparency.

Estimating and projecting population size in future is utmost important for governments, because  majority of government programs and plans have a close  relationship with population and its dynamics. The aim of this paper is to project the trend of population changes and population structure over the next 50 years using Agent-Based Simulation model. The model enables to analyse different scenarios of population changes, provide as strcutural model of changes,  modeling with heterogeneous entities and provide more realistic results because of probabilistic modeling. Simulation results was compared to projection results under different scenarios conducted by the Statistical Center of Iran. The results showed a significant correlation between the two which indicates the validity of simulation model. The results also indicated that  age at marriage does not have a significant correlation with the trend of population growth in next 15 year, while  in longer term, there will be a significant correlation  Analysis of the model indicate that Agent-Based Simulation can create probabilistic, heterogeneous with policy analysis features analytical framework which can simulate annual data with minimum cost and in a virtual mean.