جستجوی مقالات مرتبط با کلیدواژه « منطق فازی » در نشریات گروه « مدیریت »

Over the past three decades, environmental challenges have become a global concern due to growing worries about the irreversible consequences of environmental degradation. Consequently, addressing environmental issues has increasingly become a priority for policymakers. Today, all countries are striving to achieve a balance between environmental protection and socioeconomic stability through the development of effective policies.

This study aims to examine and evaluate the environmental efficiency of Iran's provinces over different time periods, considering the inherent uncertainty in the data. In the real world, data is not always precise and deterministic, and deviations in data can significantly alter the results of efficiency evaluations. Therefore, it is essential to employ suitable methods to address data uncertainty when assessing efficiency. In this research, a Fuzzy Window Data Envelopment Analysis (FWDEA) model is utilized to evaluate the environmental efficiency of Iran's provinces. This model effectively accounts for data uncertainty and provides more accurate and reliable results.

The approach used in this study incorporates undesirable outputs and can be applied to various structures in fuzzy data envelopment analysis. Based on a literature review, consultations with experts in the fields of the environment and data envelopment analysis, and available data, the input variables of the study were determined to be per capita energy consumption and per capita vehicles, while the output variable was defined as per capita pollutant emissions. Given the uncertainty about whether all units operate at optimal scale, the BCC model was employed. Furthermore, since it is easier to control outputs compared to inputs, an output-oriented data envelopment analysis model with variable returns to scale was assumed. Finally, the proposed fuzzy window data envelopment analysis model was implemented for 29 provinces of Iran over four time periods from 2017 to 2020, and the results were analyzed.

Data analysis using the proposed model revealed that East Azerbaijan province had the best environmental performance with an efficiency score of 0.837407, while Hormozgan province had the worst performance with an efficiency score of 0.332543 during the four years of the study. Examining the annual average efficiency of the provinces indicated that the trend of efficiency improvement or decline varied across provinces over the years and was not stable. Additionally, the results of the fuzzy window data envelopment analysis model showed that the efficiency of provinces varied in each consecutive time window and did not follow a fixed pattern.

In this study, a fuzzy DEA approach was employed to evaluate efficiency considering the ambiguous, unavailable, and imprecise nature of the data. Overall, the use of fuzzy window DEA in assessing the environmental efficiency of Iran's provinces is one of the best methods due to its high accuracy, ability to model fuzzy data, and identification of complex patterns. This approach can assist policymakers in identifying the strengths and weaknesses of provinces in terms of environmental efficiency and formulating appropriate policies to improve environmental performance. To enhance the environmental efficiency of provinces, it is necessary to develop dynamic environmental policies tailored to the specific conditions of each province. Moreover, given that environmental challenges are global, the application of similar approaches to evaluate environmental efficiency in other countries can also contribute to improving global environmental performance.

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

Analyzing user sentiments in marketing and enhancing customer experiences are essential for developing effective marketing strategies. This analysis is crucial for assessing the performance of social media platforms as communication tools. This research was practical in nature and cross-sectional in time, while utilizing both quantitative and qualitative variables within a descriptive research design. The study categorized user tweets without relying on prior knowledge or labeled data, employing fuzzy systems and an unsupervised approach. This advancement in sentiment analysis enabled researchers and practitioners to extract valuable insights from user opinions and emotions within their respective domains and platforms, thereby facilitating informed business decisions aimed at maximizing profitability. As a case study, this empirical research examined user experiences with Samsung and Apple mobile phones from 2022 to the present, classifying sentiments into positive, negative, and neutral categories. Three sentiment analysis tools—SentiWordNet, AFINN, and VADER—were employed to determine the polarity of the tweets. The classification results revealed a higher level of user satisfaction with Samsung mobile phones compared to Apple.

Performance-based budgeting (PBB) aims to allocate public budget resources to organizations based on their performance. Consequently, the necessity of evaluating entities' performance in implementing and executing a performance-based budgeting system has spurred some researchers to expound PBB maturity models, while others have concentrated on designing models to gauge its maturity level. In this investigation, mindful of the developed model of performance-based budgeting in Iran, endeavors have been made to fashion a data envelopment analysis (DEA) model in harmony with the conceptual framework of PBB maturity. Considerations such as the network structure of the PBB maturity model, quantitative-qualitative data, and the hierarchical structure of indicators and sub-indicators within the PBB maturity model should be factored into the design of the mathematical model. Consequently, the primary aim of this article is to devise a two-stage-multilayer fuzzy network data envelopment analysis model that encompasses all three of these considerations and delineates the level of budgetary maturity based on performance for various entities. The outcomes indicate that taking into account the uncertainty present in the data and adjusting levels in optimistic, pessimistic, and moderate, while bolstering the discriminative power of the model, will furnish decision-makers with more precise information.

A well-defined roadmap is essential for any country to achieve social, economic, welfare, and cultural advancement. Such a roadmap clarifies national priorities and issues, enabling targeted attention, strengthening, and investment in critical areas. Recognizing the importance of these priorities and the value of cross-government comparisons, this study undertakes a comparative analysis of general welfare and social security policies in Iran’s 8th (Khatami) and 9th (Ahmadinejad) administrations, utilizing fuzzy logic. The research is applied in its purpose and comparative in nature, relying on library resources and high-level documents from the two presidential terms. In the theoretical section, books, journals, and databases are referenced, while in the empirical section, fuzzy logic techniques are used to analyze data. Data evaluation was conducted using fuzzy logic model tests, and SPSS software (version 22) was employed for statistical inference. Results indicate that the level of welfare and comfort was higher during the ninth administration, with citizens experiencing better housing, access to basic goods, and civic interactions. However, general welfare support was less extensive, though substantial housing support was provided for lower-income social classes. These findings highlight that social welfare in Iran is strongly connected to the specific policies of each government.

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.

The current research was conducted with the aim of providing a fuzzy model for the evaluation of business plans focused on the development of new products. This research can be used in the industrial cluster of chemical production and systematically examines and analyzes the development of new products. It is an exploratory-modeling research method in terms of practical purpose and in terms of implementation. . In this research, the present research community consists of 12 experts from chemical industry companies. In order to analyze the data, fuzzy Delphi technique has been used. The results show that 6 exogenous variables were selected as key variables in the selection and development of a new product in the organization. In order to determine the importance of exogenous variables that experts doubt in specifying their importance, the method of fuzzy fuzzy analysis technique was used. (0.239), new product development strategy (0.209), level of passing standards and requirements (0.136), absorption of product development research funding (0.077) and absorption of applied research funding (0.061). The dynamic product development model, which is based on the cause and effect relationship, needs to be designed and tested in future studies to simulate the current and future decision-making performance.

Today, the maximum utilization of human capital for organizations has become inevitable for reasons such as the rapid development of various technologies in response to increasing demand to increase production and reduce costs. Accordingly, in the present study, we decided to identify and prioritize the factors affecting coaching in improving human resource training in the Social Security Organization.

This research is based on the purpose in the category of applied research. The sample of the present study consists of 10 specialists and experts in the field of coaching and training of human resources.

The results of the study indicate the fact that out of 31 variables affecting the role of coaching in improving human resource training, 16 top indicators were identified and prioritized. Based on the results, the role of coaching through the education channel on reducing information and motivational barriers, respectively; The reduction of content barriers and the reduction of structural barriers are in the first to third ranks.

According to the results of the effect of coaching on human resource training in the Social Security Organization is a multidimensional process and coordination between human resource needs assessment processes (reduction of information and motivational barriers), planning (reduction of content barriers) and implementation and evaluation (reduction of structural barriers) Increase the effectiveness of training courses through the channel of the coaching process.

Today, the construction industry has a significant share of the economy and is considered as a leading and employment-generating industry. Due to various and sometimes risky activities during construction, there is a possibility of risks and personal and financial injuries, the control of which can be very effective in the success of the project. In the present study, a model for evaluating the safety risks of construction projects has been presented and new powerful tools such as fuzzy expert system improved with genetic algorithm have been used. Therefore, at first, the main factors influencing the safety of construction projects were identified by studying the literature and consulting with experts. Then, a questionnaire was provided to the experts to obtain their views and assess the severity of the risk effect and the probability of the occurrence of each risk. Then, based on the experts’ views, an expert system was obtained to assess the risks, which instead of using zero and one logic, governing expert systems, fuzzy logic was used. In the proposed model, to improve the performance of the fuzzy expert system, the genetic algorithm was employed as an optimizer. The research results indicated the optimal performance of the proposed model in assessing the safety risks of construction projects, so that the error rate of the model was acceptable. The model can also provide an effective tool for project managers in assessing and refining the safety situation in the construction site.

The meaning of BPR is that we overview and breakdown current business process. This method, by using more efficient processes, enables your company to decrease costs and increase profitability.This research has been attempted to evaluate and ranking the indicators which are effective on BPR, in order to improve efficiency of industries by using fuzzy ANP combined methodology. The study population of this research can be classified into two general groups: first group is the masters of university who are expert in BPR, second group is experts working in manufacturing industries. Actually the sampling method in this research is a combination of targeted non-probability sampling method and snowball sampling. Due to the nature of the sampling method, finally the sample volume of this study is equal to 30 person of Experts available and willing to cooperate. Due to the finall analysis and prioritizing criteria, it is visible that “technological and educational factors” with final weight of 0.252; “Empowerment” with weight of 0.177; “organizational culture” with weight of 0.122; has been defined as the most important ANP integrated model criteria for BPR in order to improve the efficiency of manufacturing industries.

Environmental management systems and supply chain management are complementary, and their implementation not only improves the environment within the country, but can also increase the sustainability and environmental performance of the global supply chain. The present study evaluates the supply chain management in the pharmaceutical system of selected public hospitals in Mazandaran province.

A questionnaire was designed and completed by experts to rank the factors affecting the evaluation of supply chain management in the pharmaceutical system. After collecting the data, they were analyzed using fuzzy hierarchical analysis technique. For this purpose, by studying the research background, various factors and models were identified and the conceptual model of the research was presented by experts in four categories of main criteria and 16 sub-criteria. These factors include: managerial and employee factors, economic factors, organizational factors and cultural factors.

The results showed that economic factors with a weight of 0.266 are the most important in terms of experts and have the first rank, followed by managerial and employee factors, organizational factors and cultural factors, respectively. Also, among the sub-criteria, the factors of adopting a business strategy commensurate with environmental goals with a weight of 0.0936, first place, designing a competitive business plan for optimal price and quality with a weight of 0.0878, second place, and modeling the trade policies of leading countries with a weight of 0.0846, third place. Has earned.

Given the importance of factor-related criteria in the implementation of supply chain management, this article examines the factors that affect managers to help find a suitable model for their future investment plans.

This study is struggled to reply this question; the existence of the strategic alignment in the international marketing domain would caused export performance improvement. After that a decision support system (DSS) about export strategy alignment is presented. This research from the view of objective is a casual research and because of the research presents a model in the strategic level for export strategies, it is a developmental research. The study performed in Iran’s petrochemical companies which had export performance. The level of analysis is organization. The method of data gathering for export performance is external secondary data (Industrial Management Org. reports about IMI500 and the financial statement of the companies) and for determining the degree of strategic alignment the strategic reference points (SRP's) theory is applied. The result shows that: (1) Higher export strategies alignment caused increasing in the export performance, (2) Fuzzy measurements of strategic alignment and export performance caused a more accurate statement for reality, (3) In this research the utility of the fuzzy model to present a DSS for management has approved.

Coaching is one of the methods of staff training that is used for the growth of human resources. On the basis of the present research to identify and prioritize the factors affecting social security organizations have managed to improve education. This research is in applied research category. The research sample is 16 coaching and training experts. In the next phase of the procedure for considering the uncertainty of Non-rank compared Electre Tuesday to increase the priority was used. Based on the results, reducing information and motivational barriers, respectively; The reduction of content barriers and the reduction of structural barriers are in the first to third ranks. According to the PLS results, if the coaching process index increases by one unit, the training process will increase by 0.849 units. According to the results of the process of the effect of coaching on training is a multidimensional process and coordination between the processes of manpower needs assessment (reduction of information and motivational barriers), planning (reduction of content barriers) and implementation and evaluation (reduction of structural barriers), the effectiveness of training courses The coaching process builds more.

Today, social media has become a place for users to comment on various topics, including consumer products, and these comments have become a valuable resource for sentiments analyzing and extracting customer expectations of products. This subject provides companies with a good opportunity to redesign their products based on user feedback. In this study, to provide recommendations to the design units of detergent products, we used sentiment analysis of customers and consumers of this products on social media. More than 4200 tweets were extracted from Twitter in 2019 based on the research topic and refined and tagged during the pre-processing of the texts. Afterwards, we analyzed the emotions using fuzzy logic and topic modeling. We have used topic modeling to find the features mentioned in the comments for a better approach in the design units, and fuzzy logic to obtain the degree of polarity of ideas into 5 categories: very positive, positive, neutral, negative and very negative. We used confusion matrix for evaluating research model and an accuracy of 86.15 % has been recorded.In this research Python libraries are used for data gathering, cleansing and analysis.

The dynamics of the natural environment causes changes in spatial and temporal scales. These changes can lead to morphogenesis processes that sometimes lead to destructive and irreversible effects. One of these changes is the mass movement, especially the landslide, which causes a lot of financial and human losses in different geographic areas each year, resulting in severe erosion of the soil. Shaho area in Kurdistan province and Kamyaran city has been selected as one of the areas susceptible to landslide in terms of its specific topographic and geographical location. n this research, in order to investigate and zoning the susceptible areas of slipping, 8 slope parameters, slope, elevation, lithology, land use, distance from fault, distance from the river and distance from communication were used as factors affecting the research problem. Also, two methods of fuzzy logic and ANP were used to analyze the data and select the optimal location. The results show that the study area has a relatively high slip potential. According to the results of this research, the study area was classified in terms of slip potential in four classes. The degree of slipperiness of the region varies greatly (7.5%), high (27%), moderate (31%) and low (34.5%). Due to the density of rural areas and population density in the area as well as tourist status of the area, it is necessary for the authorities to identify the areas susceptible to landslides to take necessary protective measures and measures.

In recent years, due to the lack of large and suitable spaces for the construction of a new fuel station, for the first time in the country, the first phase of the linear fueling station a the Isfahan metropolis has been implemented. Before entering the implementation of the second phase of the project and also the extension of the stations to other metropolises of country, the evaluation of linear fueling stations especially in terms of landuse quality (matrices of compatibility, desirability, capacity and dependence) is very important. In this regard, in this research library and field methods have been used to collect data. In addition, a combination of fuzzy logic and analytic hierarchy process (AHP) has been used to analyze the status of linear fueling stations. The results show that in general, 34% of all linear gas stations in Isfahan are in a relatively unsuitable location and 20% of them are in average condition in terms of qualitative evaluation of the landuse. The general suggestions of this research are to pay attention to providing the necessary infrastructure for the construction of linear gas stations, eliminating the shortcomings of existing linear stations and conducting integrated transportation and land use studies before the implementation of the second phase of the project.

An important issue for organizations in today's world is the change of a sustainable and predictable environment to a complex and dynamic one. Therefore, what has become an important concern for managers of high levels of organizations in such a complex and dynamic environment is the selection of appropriate strategies and its application in the organization in order to achieve major goals. Due to limited resources, it is very important for the organization to prioritize strategies to identify the most effective ones in achieving macro goals. One of the decision-making methods used to analyze decision making in such complex environments is the network analysis process. Although the network analysis process has been introduced as a more accurate method than the serial analysis process, it is difficult to model complex decision environments, but problems such as the high volume of couple comparisons and the ambiguity of some of these comparisons have reduced the efficiency of this method. . In this paper, using the new BWANP approach, it is shown that this approach reduces the problems of the ANP method as much as possible and leads to more stable comparisons while requiring less comparative data. In other words, more reliable answers are obtained and the efficiency of decision-making is improved. This research has been conducted with the aim of using this method to prioritize the strategies of Fars Power Distribution Company.

The aim of the present study is to identify and evaluate the factors influencing the improvement of the quality of products of ceramic tile factories in Yazd province. The purpose of this study is applied and its statistical population includes all experts familiar with quality issues and working in Yazd province ceramic tile industry. The sampling method is census and 32 experts identified in this field completed the 39-item questionnaire. The collected data are analyzed using the fuzzy VIKOR method. The results of this study show that quality of design, quality control during the process and access to high quality and economical raw materials Ranked 1st to 3rd. That is the optimal planning in these sections will affect the quality of products and consequently the profitability of ceramic and tile factories.

Cities, as the most complex and widespread man-made structure, have always been exposed to many natural and human disasters. In the meantime, natural disasters, especially earthquakes, which are among the most devastating unpredictable hazards, have often caused massive damage and irreparable casualties on these settlements and its residents; which it is necessary to reduce its damages by urban retrofitting. The present research is in the field of applied-exploratory researches. The research method is objective and cognitive; and is of a descriptive- analytical-comparative nature. Study process is designed to first identify the earthquake resiliency criteria by reviewing multiple studies and then collecting the necessary data through questionnaire. After data quantization, the necessary information is entered into the GIS software and IDW analyzing method, then the layers are weighted using Fuzzy logic; In the final section of the analysis, after applying the coefficients of the layers and based on the topsis model and their overlap, the level of resilience of the neighborhoods of the study area has been calculated. The results of these studies, which are presented in the form of a zoning map from the regional resonance spatial analysis, show that the resilience level is not the same in all neighborhoods. Baharestan and Ferdowsi neighborhoods are in a unfavorable situation, neighborhoods of the Ghiam, Kowsar and Abshar have a favorable situation; and other neighborhoods are also in a moderate position compared to physical resiliency, which need to be prioritized, in order to irreparable damage in their respective policies and decisions.

Various factors such as overcrowding, land leveling and occupation of rivers along with climatic factorsin urban areas have caused urban flooding .The city of Ilam is no exception; This has caused a lot ofdamage to residential areas, roads, fields and farmlands over the past few years. The purpose of this studyis to evaluate and zoning flood-prone areas in Ilam. For this purpose, criteria such as slope, geological features,topography, streamflows, soil and land use were selected, weighted and standardized by hierarchicalanalysis and fuzzy model.Then, zoning map with overlapping the weighted maps for each criterion was preparedin the GIS. Final analysis of the map shows that the north and northwest areas have the highest potentialfor flood risk. The results also showed that 0.60% of the total area are in very high vulnerability categoryand 6.29% in high vulnerability class, 20.92% in the average vulnerability class, 50.23% in low vulnerabilityclass and 21.95% in the very least vulnerable category.