جستجوی مقالات مرتبط با کلیدواژه « Fuzzy logic » در نشریات گروه « علوم انسانی »

In addition to natural disasters such as floods, which cause great damage to the environment and human societies, the phenomenon of dust also causes irreparable damage to urban environments, transportation systems, respiratory systems, etc. Identifying Potential Dust Source Areas is considered the first step to control and prevent this phenomenon. Various researches have been conducted to identify dust sources, but most studies have relied on small-scale images. This research aims to use medium-scale satellite images to identify local areas prone to dust production. Google Earth Engine was used to analyze factors influencing dust generation, including slope, Digital Elevation Model (DEM), land use, soil salinity, Normalized Difference Vegetation Index (NDVI), soil moisture, wind speed, precipitation, and Land Surface Temperature (LST). Analytical Hierarchy Process (AHP) was used to assign weights to these elements. The resulting weights were: soil moisture (0.264), NDVI (0.208), wind speed (0.153), precipitation (0.107), land use/soil salinity (0.081), LST (0.064), DEM (0.024), and slope (0.020). The inconsistency index (0.015) indicated a high degree of consistency between the assigned weights, which is below the acceptable threshold (1). Due to the lack of ground-based air quality measurements, the Aerosol Optical Depth product (a satellite-derived measurement of airborne particles) was used to validate the resulting dust source maps. The final map showed that the potential for dust generation decreased closer to the heights of Sahand and increased closer to the lake.

Identifying and exploiting existing opportunities is the basis for creating and promoting employee creativity and requires appropriate prerequisites. The aim of this study is to investigate the impact of leadership styles on the innovation climate and its impact on employee creativity with the moderating role of creative self-efficacy and the mediating role of trust and personal identity of the General Directorate of Information Technology of the Tax Administration. This is an applied and descriptive-correlational research. The statistical population includes managers and employees of the General Department of Information Technology of the Tax Administration, from which 138 were selected by simple random sampling. The data collection tool is a researcher-made questionnaire. To test the hypotheses, structural equation modeling was performed with the partial least squares approach using Smart PLS software. All hypotheses were confirmed except the hypotheses related to trust and creative self-efficacy. Also, by using transformational and interactive leadership styles as well as identifying employees, innovation can be created in the organization and thus employee creativity indicators will be improved

In this article, for the first time, a new method is introduced to control the process of preparing materials and equipment in the factory using genetic-fuzzy combined algorithms, and in this method, the effect of external random factors in the form of demand and guidance of time uncertainty is specially considered. has been In the proposed model, parameters of time-varying member functions are used dynamically to describe the values ​​of mixed sets of modeled outputs. The method presented in this article is based on four confirmed criteria, which are used based on real information extracted from the industrial town of Saujblag area, and each of the criteria is examined and analyzed in the following.

The 63.20 kV substations serve as the energy injection points from the transmission network to the distribution network. Determining the substation's location is important from both technical and economic perspectives for regional electricity companies and electricity distribution companies. This research aims to identify the optimal location for constructing a 63.20 kV substation, distinguishing its methodology from similar studies by considering criteria specific to electricity distribution companies and the internal interactions and influences of these criteria.

This study employs the network analysis process (ANP) and fuzzy logic within Geographic Information System (GIS). Based on expert evaluations, 13 criteria were identified as primary factors for substation location. ArcGIS software was utilized to create criteria layers. To standardize the criteria layers, data were normalized between 0 and 1 using fuzzy membership functions. The ANP method was then used to determine the final weightings of the criteria, which were applied to their corresponding fuzzy maps. For the final analysis, the gamma operator with the gamma values of 0.7, 0.8, and 0.9 was employed. Optimal gamma value selection was implemented using the gamma correlation coefficient test in SPSS software, leading to the calculation of the correlation coefficient and standard deviation.

The standard deviation calculations indicated that a gamma value of 0.7 has higher accuracy compared to other values. In the final map, areas around the city of Kahak were identified as the optimal location for constructing the 63.20 kV substation in Qom province

The most important factor in investing is choosing the asset that will bring us the highest expected return. Each investment forms its portfolio by predicting the investment risk and estimating the expected return. Various methods have been used to estimate the expected return on investment in recent decades, the most important of which is the Markowitz mean-variance model. But this model has been faced with flaws, so financial researchers have tried in the following decades to obtain more reliable findings for portfolio optimization by adding higher moments such as skewness and kurtosis and entropy. The statistical population of this research is based on trading data (adjusted price) of the top 35 symbols of the the Iranian capital market during the last ten years from 2013 to 2023 from the software bourseview, tsetmc, and the variables including variance, mean, skewness, kurtosis and entropy after processing. Data were implemented using Matlab version 6.7 software and portfolio optimization was done based on mv, mvs, mvsk models and finally MVSKE model. The findings of this research indicate that informational entropy is a reliable variable in portfolio optimization.

The precise and fair implementation of laws in the judicial policy of legal systems is inevitable. In two-value or Aristotelian logic, the foundations and principles of science are subject to a fixed rule that thing is either right or wrong. Fuzzy thinking in the interpretation and explanation of laws, both quantitatively and qualitatively, represents a special framework in the purposeful examination of ambiguities and uncertainties. Fuzzy thinking represents a special framework for the purposeful study of ambiguities and uncertainties in the application of laws, both quantitatively and qualitatively, therefore, the design of fuzzy thinking in measuring and explaining criminal and legal matters can be very effective in advancing towards criminal justice. Because the logic used in our laws, which has its roots and precepts in Islamic law, is multiple logic, and propositions and legal materials are often graded and used continuously with variables as examples. This study aims to try a new approach to explaining and interpreting laws based on fuzzy thinking in times of ambiguity and complexity and to help build a logical and equitable framework that leads to the development of rules based on legal variables and components. The result is that with the theory of explanation and interpretation of the existing laws based on fuzzy thinking, as well as the design and implementation of the fuzzy judicial system with the help of experts, it is possible to progress towards a more accurate and fair judicial system. Because the thinking and subjective criteria of the judges in interpreting the laws can be fuzzy and the judges also issue more fair verdicts. For example, to prevent crimes leading to imprisonment, which will reduce the number of prisoners. Therefore, the fuzzy thinking plan in evaluating and explaining legal issues can be very efficient in moving towards criminal and legal justice.

One of the structural factors in any organization is human resource management. Human power is the greatest asset of any organization in terms of having the power of thought, creativity and innovation. Performance evaluation is a method through which the process of identifying, observing, measuring and improving human performance in organizations is carried out. Some of the most important factors affecting the evaluation of employees' performance are: type of job, employee behavior, management method and determination of minimum salary. The basic purpose of using performance appraisal is to maximize productivity by identifying and capitalizing on employee strengths.A good performance evaluation system should have five features, which include simplicity and comprehensibility, especially from the perspective of the organization's employees, fairness, objectivity, openness, and usefulness. The purpose of the article is to determine indicators and models to evaluate employee performance and to determine the effect of a fuzzy decision support system on employee performance evaluation. Statistical Society; He is a social security employee of Mashhad city. Using data mining technology, we extracted human resource information from multiple databases about the status of the organization's personnel, then using the fuzzy evaluator model and the data extracted from the database, we were able to identify the types of forces and employees in the organization. Based on the features, it discovers and also determines what kind of features an employee belongs to​

 Today, urban furniture has been considered by city managers and planners due to its significant role in improving the quality of urban life. Therefore, a small change in the quality of each of its components has a direct impact on the quantity and quality of its components and other variables. The aim of this study is to evaluate the quality of urban furniture in regions 1 and 2 of Tabriz using fuzzy logic inference system in Matlab software environment. The present research is descriptive in terms of methodology and applied in terms of purpose. In order to collect data and information used in the research, the library and field survey method has been used. The components used in this study include two components of beauty and fit of urban furniture and urban furniture standard, each of which was examined in the form of three main indicators based on fuzzy logic inferences. The results showed that region 1 and 2 of Tabriz is not in a good position in terms of the quality of urban furniture with a score of 0.39 and 0.35, respectively, and has not been able to satisfy the people. Therefore, there is a need to review the approved urban furniture programs as well as to develop new programs based on the strengths and weaknesses of the areas under study.Finally, it should be noted that the use of comparative methods to assess the quality of furniture in different urban areas can provide a comprehensive view of recognizing the differences between areas in terms of urban facilities, the necessary planning to establish spatial justice between deprived areas and provided areas.

Systems for assessing groundwater vulnerability are designed to protect groundwater resources from pollution. The DRASTIC method is a well-known approach for determining groundwater susceptibility. One drawback of the DRASTIC method is that it relies on expert judgment to rank parameters, which introduces uncertainty. This study used a new generation of Fuzzy Logic (FL), called the Z-number theory, to estimate the specific vulnerability of aquifers and address this uncertainty. The specific vulnerability of the Ardabil and Qorveh-Dehgolan aquifers was estimated using two scenarios: the DRASTIC parameters as inputs and nitrate concentration values as output. The vulnerability of the aquifer was also evaluated by comparing the results of the proposed models with those of the DRASTIC model, which served as a benchmark. The analysis showed that the Z-number Based Modeling (ZBM), which considered data reliability and weighted the rules appropriately, produced higher-quality results than the classic FL. In the Ardabil plain, the ZBM yielded results that were 53% better (using seven inputs) and 184% better (using four inputs) compared to the classic FL. In the Qorveh-Dehgolan Plain (QDP), the ZBM produced results that were 127% better (using seven inputs) and 311% better (using four inputs) than the classic FL. The irregularity and non-linearity of the data, such as the high coefficient of variation (CV) in the Ardabil plain compared to the QDP, may contribute to the high CV value in the plains. Therefore, in plains with high CV, the quality of the extracted Z-number-based rules may be lower.

The concept of the fragility of the state is one of the key words in the political sciences that were considered in the post-World War II period, and especially after the end of the Cold War. The Central Asia has also been one of the geographic regions that has sparked many views and analyzes on the states in the region and their fragility. But it should be noted that the paths that lead to the fragility of governments are not the same, and it is possible to draw different patterns from the ways leading to the fragility of the state. According to this the main research question are, what is the state of fragility in the Central Asia? What are the characteristics of paths that lead to the fragility of the Central Asiaern states? Considering the exploratory nature of the main research question, no hypotheses have been presented and interpreted for the results. To answer the questions, with the benefit of fuzzy logic, the top paths that are created by the combination of several factors are examined. The survey also shows that 10 governments in the Central Asia are fragile states and can identify four causal paths among them. Also, among the factors involved in these causal paths, the government's lack of legitimacy and the existence of conflicting groups can be identified as an unnecessary imperative for the fragile states of the Central Asia.

One of the sources of creating legal language and literature is the establishment of regulations. Since legislation deals with the order and security of society and is also analyzed by researchers in some fields such as law, literature, linguistics, and ethics, it is necessary to complete it by following strict criteria. One of the most important criteria of correct legislation is diligence and efficiency in the quality of regulations, which is considered today as a complement to the principle of legality of the criminal phenomenon. The quality of regulations requires that the discourse of the law should not be broad and vague, and the importance of this in criminal regulations is twofold; so that it does not need to be interpreted except in exceptional cases. It seems that today, for the Iranian legislator, no specific ethical standards have been defined and implemented for this matter. Considering that voluntary and conscious decision-making legislation and voluntary actions are subject to the value of moral judgment, therefore it is subject to ethical requirements and in terms of the moral responsibility of the legislator, we consider compliance with the quality of the regulations as a good and correct decision.And among the most important moral duties of the legislator, we consider compliance with this importance and paying attention to the teachings of the language of the law as a means of communication and information. In line with the management and prevention of quality violations, the regulations as one of the most important rules of ethics of the legislator, paying attention to the quality of the legislator and observing the written, editorial and literary rules and the existence of a special institution for writing and compiling laws as well as evaluating their quality, consisting of law Scholars, writers, linguists, sociologists, ethicists and other science experts are needed and basing laws on interdisciplinary research between ethics, literature, law and linguistics can be a way forward. Of course, since no matter how much attention and care is taken in this regard, there is a possibility of ambiguity, silence, conflict, etc. in the regulations. To benefit in the proceedings as well as judicial procedure. The criterion we consider in order to determine the quality level of regulations is fuzzy logic; the most important factor in the lack of regulation quality is the legislator's incomplete understanding of legal language and interdisciplinary studies. Also, the preparation and approval of the "Comprehensive Ethical Legislator Document" regarding the ethical principles and rules of this area and related issues and issues, as well as the ethical audit of regulations, and the approval of a lesson and chapter entitled "Professional Ethics of Legislators" with an interdisciplinary approach between literature, Linguistics, ethics and law are suggested by the Ministry of Science along with the course on the principles and techniques of law-making. The most important thing is to try to establish and promote "ethical culture" through the creation of interdisciplinary discourse and critique of the above topic, among the students of law, ethics, philosophy, literature and linguistics faculties, and to promote the study of world literature in the society.

The purpose of this research is to investigate the impact of environmental stimuli on the implementation of the agility policy in logistics villages of Tehran province. The current research is applicable-developmental in terms of purpose. The statistical population of the research includes managing directors and members of the board of directors, deputies, managers and heads and supervisors of different departments of logistics villages in Tehran province, whose number is 99 and the sampling method is total number. The information collecting tool was the questionnaire of environmental stimuli made by the researcher, taken from the qualitative section. The reliability of the research was checked and confirmed using Cronbach's alpha criterion in SPSS software. SPSS software was also used for data analysis, and PLS software was used for structural equation modeling. The findings of the research showed that the acceptance percentage of the language term "very high pressure and impact" is confirmed for the category of the impact of environmental stimuli on the implementation of the agility policy of the administrative system of logistics villages in Tehran province, and also the model has a good fit.

In recent years, the support of corporate governance has attracted the attention of capital market regulatory bodies, including the stock exchange. In this regard, the corporate governance index has been taken into consideration as a monitoring tool for companies so that companies that better comply with corporate governance mechanisms can be distinguished from companies that do not comply with these mechanisms. On this basis, companies should try to improve these mechanisms and take more effective steps to create more efficiency and value and thus improve the conditions of the capital market. In this research, an attempt is made to use a new index under the title of fuzzy corporate governance index, and according to expert opinion and formulation of fuzzy inference rules, three fuzzy expert systems have been designed to evaluate corporate governance criteria. Also, the data related to 160 companies admitted to the Tehran Stock Exchange as a sample have been collected and their data has been processed using the aforementioned fuzzy systems. The output of the first system shows the quality of the ownership index and transparency in the sample companies. The output of the second system shows the quality of the board structure index and finally the output of the third system shows the quality of corporate governance in the mentioned companies. The results of these evaluations are shown in a list of the weakest and best companies in terms of ownership and transparency, the structure of the board of directors, and the quality of corporate governance.

The increase in women's inter-provincial migrations is one of the most important changes in recent decades in the migration field,  which largely  stems from the different development of provinces. Therefore, this research was carried out with the aim of investigating the effect of socio-economic and technological developments of the provinces on the ratio of their women’s independent migration to the city of Tehran, using a quantitative and fuzzy comparative method. The study of 2006 and 2011 censuses shows that despite the increase of female immigrants to Tehran, the number of independent female immigrants to Tehran from other provinces has decreased. The results of the correlation test showed that there is a direct significant relationship between the amount of "socio-economic" and "technological" developments of the provinces with the ratio of "migration" and "independent migration" of their women to Tehran, and most of the independent female immigrants who entered  to Tehran are from more developed provinces. Also, the proportion of women's independent migration to Tehran is more affected by the development of provinces than the ratio of women’s migration. The  results of fuzzy analysis show that both the conditions of "socio-economic" and "technological" developments have high "Consistency" and "coverage" indicators and as necessary conditions, they increase the ratio of women’s independent migration. Also, the causual combination of socio-economic and technological developments with high consistency index and empirical explanatory power is a sufficient causal combination of women's independent migration to Tehran. The phase sharing of two conditions, as a sufficient condition with great theoretical and empirical strengths, has been able to explain the ratio of women's independent migration of all provinces to Tehran.

Fuzzy logic as a new tool in the analysis of political and social phenomena is a concept and approach that has recently entered political science. This approach has introduced other new concepts such as uncertainty, relativity, degree of truth, feasibility (vs. probability) etc. into these sciences. This article, which has been written with a descriptive analytical method, while explaining the concept and what is logical in the science of science, searching in this field to why and how to apply the steps and skills necessary to perform such an analysis in the field of political science with analysts of phenomena Political and social. The results show that the logic of social and political developments is not linear, and different variables always play a role in events, and since socio-political phenomena are voluntary human affairs and the uncertainty and involvement of many variables play a role in such affairs and phenomena; Fuzzy logic, despite its characteristics such as uncertainty, relativity and multiplicity of variables, is a suitable theoretical foundation for the analysis of political and social phenomena, which can explain these affairs and processes in terms of infrastructure on the one hand, and on the other hand, provide a logical framework for achieving It provided correct results in political analysis.

Uncertainty of exchange rate is one of the factors that has faced Iran's economy with many challenges and has caused instability in macroeconomic variables. In the meantime, the variable of indirect taxes can be affected by the uncertainty of the exchange rate due to the two important sub-sectors of import tax and transaction tax. Because the expected fluctuations in the exchange rate can change the amount of imports or the volume of transactions. On the other hand, the change in indirect taxes, in turn, will affect the government budget and the consequences of the budget deficit will cause problems for the entire economy. Therefore, in this research, the effect of exchange rate uncertainty on indirect taxes has been investigated. For this purpose, the fuzzy regression method has been used for the time period of 1991-2021. The results showed that the uncertainty of the exchange rate has a significant negative effect on the absorption of indirect taxes in Iran's economy. The average value of the impact factor is -0.0431, which is between the upper and lower limits of -0.0338 and -0.0524. Also, the results show that the inflation rate has the most negative effect and oil revenues have the most positive effect on the absorption of indirect taxes in Iran's economy

Natural disasters such as earthquakes can cause irreparable damage to humans and the environment. Earthquakes are considered as natural disasters that cause many human and financial losses every year. Today, with the advancement of science and technology, suitable grounds have been provided for recognizing and reducing these natural hazards. Therefore, risk assessment is critical for proper management and reduction of losses. Risk assessment is determined by the process of estimating the probability of an event occurring, and the importance or severity of its adverse effects. The aim of this study was to assess the vulnerability of Bushehr province to earthquake risk. In this regard, by combining fuzzy and hierarchical logic models using GIS software, the vulnerability of Bushehr province to earthquake risk has been analyzed and extracted. Effective indicators in earthquake vulnerability are: distance from the fault, earthquake epicenter, earthquake magnitude, earthquake depth, land slope and lithology. The results show that 23% of Bushehr province, which is mostly located along faults, are very vulnerable in the danger zone.