جستجوی مقالات مرتبط با کلیدواژه "fuzzy approach" در نشریات گروه "علوم انسانی"

The purpose of this research is to design a digital entrepreneurship ecosystem model in Internet retail businesses. The type of research work is applied, in the qualitative part of the statistical population of this research, in order to identify the indicators, two groups of academic experts in the field of digital technologies and entrepreneurship have been formed in the number of 14 people, and in the quantitative part of the statistical population of the research, 384 officials. The programmers and operators of these businesses were in Tehran. The sampling method in this research is systematic random method due to the homogeneity of the studied population. The required information was collected by two methods of library studies (in order to develop hypotheses) and field method (in order to test hypotheses). The research tool includes a fuzzy Delphi questionnaire as well as a researcher-made questionnaire based on the extracted criteria. Convergent validity method was used to confirm validity and Cronbach's alpha coefficient was used to confirm reliability. To analyze the data, statistical methods at two descriptive and inferential levels and statistical tests appropriate to the data scale, PLS statistical software, partial least squares test and bootstrapping technique have been used.

The gap analysis based on species distribution modeling (SDMs) is a essential tool for evaluating the performance of Protected Areas and identifying conservation gaps. Improving the accuracy and reliability of SDMs can significantly aid in implementing strategies under the Global Biodiversity Framework. This study aimed to enhance gap analysis methods through deep learning-based modeling and to overcome some limitations of traditional gap analysis approaches by using a fuzzy approach to calculate habitat suitability, ultimately assessing the efficacy of gap analysis in identifying conservation gaps. The study employed the CNN-SDM deep learning-based method to identify complex relationships between species' spatial distributions and environmental conditions. WorldClim data and records of 45 amphibian species from the GBIF in Southwest Asia were used to calibrate the model. After generating habitat suitability maps, species were weighted according to their threat levels in the IUCN Red List, creating a weighted species richness map. To address the limitations of binary data, a fuzzy approach was used to represent habitat quality on a continuous scale from 0 to 1. Future predictions were made using the SSP126 and SSP585 climatic scenarios for the years 2060 and 2100. The comparison of weighted species richness maps and stacked richness revealed that 43% of threatened amphibian habitats were overlooked by the stack binary method. Results confirmed that under the worst climate scenario, while 85% of suitable habitats remain within protected areas, the average pixel value of habitat suitability within these areas significantly decreases, with fuzzy habitat suitability declining for 97% of the species. The CNN-SDM model demonstrated high accuracy, with an AUC of 0.94 and a TSS of 0.89. This study highlights the need for enhancing gap analysis methods and addressing the limitations of traditional approaches

Choosing a suitable opportunity in conditions of uncertainty is a common problem for entrepreneurs. The software startup procedure is particularly vulnerable to extreme uncertainty and competition; therefore, analyzing opportunities and threats is critical for software entrepreneurs. Hence, the present study aims to identify the criteria of uncertainty in evaluating entrepreneurial opportunities in technology-driven businesses of the software industry with a fuzzy approach using a mixture of qualitative and quantitative methods. The statistical population of the research includes experts in the software industry. In this regard, first, a theoretical basis was obtained by examining the background. Second, we performed semi-structured interviews and extracted and coded 115 phrases. Third, after combining the general and subsidiary phrases, we reached 84 phrases, and by combining similar phrases, we selected 29 phrases. Forth, after categorizing those phrases, we determined the six axes of uncertainty and used the fuzzy Ahp technique and Geometric Buckley averaging in Microsoft Excel to rank those six axes as follows: 1-uncertainty in resources, 2-uncertainty in competition, 3-technological uncertainty, 4-political uncertainty, 5-uncertainty in agents, and 6-customer uncertainty. Finally, the model of evaluating entrepreneurial opportunities in conditions of uncertainty was designed using a fuzzy approach in the software industry.

Foreign direct investment stands as a crucial economic variable, influenced by various factors that contribute to its attraction. Empirical studies reveal that both visible and invisible elements play a role in shaping FDI in any given country, often eluding straightforward inclusion in economic models. This research, recognizing the significance of this subject, delves into the impact of economic sanctions on the attraction of foreign direct investment in Iran over 44 years, employing a fuzzy approach. The findings underscore the substantial and moderate economic sanctions, characterized by high and robust fuzzy coefficients, exerting a notable negative effect on the allure of foreign direct investment in Iran. Additionally, the study reveals that variables such as the budget deficit, inflation rate, mild economic sanctions, adverse exchange rates, alongside factors like gross domestic product, economic openness, domestic interest rates, foreign direct investment with interruptions, governance quality index, and the effective tax rate on company profits, have exhibited a positive influence on the attraction of foreign direct investment in Iran.

 The purpose of this study is to evaluate the commercialization indicators of accounting research with a fuzzy approach. The study population is experts and academics and professors of accounting. Based on purposive sampling technique, 15 people were selected as the sample. First, the criteria were identified using fuzzy Delphi technique and then the indicators will be ranked. The Demetel technique will be used to identify the pattern of relationships between the relationship criteria. According to the network of identified relationships, the fuzzy network analysis process (FANP) technique is finally used to rank the elements. Super Decision and EXCEL software were used to perform network analysis calculations. Based on the results, 8 main indicators and 52 sub-indicators were identified for the commercialization of accounting research. The main indicators are: scientific validity, applied research, organizational, cultural, individual, environmental, political and economic identified. Based on Delphi technique, 52 sub-indices were screened and confirmed. 8 main indicators were also ranked in network analysis technique. The scientific credit index has the highest rank.

Investment has an undeniable role in creating job opportunities and GDP growth. In this study, the effective components on the distribution of capital in the agricultural sector in Khuzestan province have been identified and prioritized using the fuzzy conceptual model (FAHP) and include reviewing previous research and documentation, interviewing agricultural experts and using MAXQDA software. 2018 is for interview analysis.The reliability of the researcher-made questionnaire was obtained with Cronbach's alpha coefficient of 0.855. The statistical population includes 62 people. The results of using MATLAB software indicate that 4 main criteria (technical-economic, political, structural and cultural-social) and 8 sub-criteria were identified and the highest weight belongs to the technical-economic criterion (0.555) and the lowest weight belongs to It is a socio-cultural criterion (in the amount of 0.031).

Financial technology has drastically changed the financial services industry andinstitutions in areas such as banking and insurance. Given the increasing role of FinTech in the future of the financial services industry, important understand the affecting drivers on future of financial technology. The present study seeks to identify and prioritize the drivers affect the future of financial technology in the country. This study has positive philosophical basis due to the use quantitative methods and its orientation is practical. The theoretical population the research is financial technology experts in the country and the samples were selected using judgmental sampling method. Two tools of interview and questionnaire were used to collect data. To analyze the data, the drivers extracted from the literature review and interviews with experts were first screened using fuzzy Delphi and expert opinions. the 14 key drivers identified, 7 drivers were excluded using fuzzy Delphi analysis and remaining factors were analyzed using the best-worst fuzzy typetechnique. Given the weights gained, the drivers of international exchanges and transactions, models cooperation between fintech institutions and traditional financial institutions and paying attention the interests and views of stakeholders in developing laws and regulations have the greatest impact on the future of financial technology.

Today, due to the complexity and involvement of various factors in the discussion of material selection, manufacturers in the field of competition need a strong and scientific tool that identify all the factors influencing the choice of materials, determine the importance these factors and balance them .In this research, we try to present a fuzzy hybrid approach to identify and prioritize the factors influencing the selection of automotive polymeric materials. For this purpose, after reviewing the experimental records by surveying organizational experts and using fuzzy Delphi technique, we identified and screened the factors of competitive advantage affecting the selection of materials and we weighted and prioritized these factors using fuzzy hierarchical analysis technique. Based on the results obtained by fuzzy Delphi technique, five indicators: economic, technical, environmental, social and technology inclusive of 29 related sub-indicators, identified and Sieved. Then we calculated the importance of indices and sub-indices using fuzzy hierarchical analysis technique. The results showed that the highest importance is related to technical and economic indicators and the least importance is related to technology index. In addition,from the economic index Sub-index the market value, From the technical index Sub-index the weight, From the environmental index Sub-index the recyclability, From the social index Sub-index the health and safety and from the technology index Sub-index the current facilities, obtained the highest degree of importance.

The purpose of this study is to explain and critique the educational style based on fuzzy approach based on the view of the Imams. The nature of this research is based on applied research and in terms of the fuzzy approach, it is exploratory research. Data collection in the qualitative level is based on the conceptual and deductive analysis method and the quantitative level is based on the trapezoidal survey and fuzzy method. The whole 55000 clergymen in the grade 3 and upward among the three seminarians in Hamadan and Qom and Sari cities. The sample size method is based on the Kerheci – Morgan sample size estimation table. The data gathering method based on the Field – library method. The data gathering method in the quantitative level is based on the author – made questionnaires in terms of educational style in the Fuzzy Method and the semi-structured interview used in the qualitative level, too. The validity index is 82% based on the Cronbach Alpha coefficient / The final results showed that the consistency and inconsistency rates of this educational style based on the Fuzzy approach with the viewpoints of The Holy Imams are as bellow: In affection component is agreed and relatively neutral، In Freedom component is a little neutral and relatively disagree. In the Control component is neutral and a little agreed، In the Encouragement component is neutral and a little disagree and finally In Punishment component is neutral and a little agree.

The purpose of the present study is to survey and review the criteria of political expansion and development in the Sīrah (Behavior) of Ahl al-Bayt (s). In this research, first, the criteria for political expansion and development in the light of guidelines given by the infallible Imams (s) were identified using thematic analysis. Then, the initial obtained codes were analytically reviewed several times using MAXDQDA software and finally 140 criteria were extracted. Afterwards, the Fuzzy Delphi Technique was applied to test the results. Ultimately, 26 basic themes of political expansion and development were identified among the data. The results showed that five basic and influential criteria in political development and expansion from the view of infallible Imams (s) include the formation of the principle of Islamic government, legitimacy (political acceptability), political participation, the existence of a just ruler, unity and solidarity.

Cyberspace gives the perpetrator with a great opportunity to commit and conceal cybercrime that it’s threatens is far more than the real environment. The importance of the issue is that the results of nonconformity with economic, social, psychological and technical issues in this area threaten many of our principles and rules; therefore, it is necessary to identify and analyze factors related to the creation of cyber space crimes in order to prevent delinquency in cyberspace.

the present study is applicable in terms of practical purpose and in terms of method, descriptive - analytic. The population and the statistical sample of this study are all managers and experts on cyberspace crimes. The research sample includes 10 experts from Yazd Fata Police and the University of Science and Art, and the statistical population was large. In the following, three types of questionnaires were distributed among experts to collect data. The aim of distribution of this questionnaire was to identify factors and explain causal relations between them.

The low level factors of public awareness and users about how to use cyberspace, lack of guilt in the criminals, lack of income-generating occupation is one of the influential factors.

Determining the factors influencing cybercrime can be useful and effective in designing and selecting the best measures and policies for managers and decision makers in this area, especially for the NAJA.

The present study aimed to prioritize the components of green schools with a fuzzy approach in the education system of Ira«. Purpose, research, application and method of data collection were descriptive-survey. The statistical community of the study formed the dominant experts in the field of green schools. Purposeful sampling method. a paired comparison matrix was used to collect the data using the Expert Questionnaire on a 9 degree scale, with an incompatibility rate of 0.07. Hierarchical analysis using AHP method was used to analyze the data. The results showed that among the green components, the "sustainable education" index with the standardized weight of 0.149 ranked first and the component of the "environmentally friendly citizen" with a weight of 0.024 ranked half. The second to eighth component grades also correspond to the components of "school environment quality" 0.140 "School participation with the environment" 0.135 "Use of technology in energy management" 0.134 "Renewable energy utilization" 0.123 "Design And architecture" 0.117, the correction of consumerism model", 0.101 and "waste management and green purchasing" 0.73.

In the third millennium, information and knowledge have become the core wealth of organizations , and businesses and manufacturing units are seeking to take advantage of this wealth to make the most of their critical decisions in today ' s dynamic environment . With the use of information and communication technology in all aspects of business , organizational systems and software have shaped the business context and become a new repository for organizational data . One of these tools is effective in the decision making process of any agile business intelligence organization. In this research , after reviewing the literature on the subject and extracting codes, basic themes and structured themes , using the focus group approach with experts and experts , Effective in designing the agile business intelligence model identified , then the final model was developed using fuzzy Victor technique in Information and Communications Technologyholding .

Assessing the performance of organizations has always been a challenge for researchers and therefore various methods and techniques have been introduced and used throughout the years for this purpose. One such technique is a fuzzy method based on a modified linguistic comparison ordering operator using the weighted geometric mean in interactive group decision-making. On the other hand, as a developing industry, the insurance industry has attracted the attention of many researchers and managers.  Among the diverse range of topics related to this industry, the issue of assessing and evaluating the performance of different departments and branches has always been of great interest to experts in this field. This is due to the fact that this evaluation can help in taking effective steps toward improvement. The research population in this study were the employees of Sina and Karafarin Insurance in Iran's Yazd province. Analysis of the desired state and status quo of these companies concludes that there is a need for improvement, especially through improvements in the dimensions of growth and learning. However, comparison of the related criteria shows that, with regard to Karafarin and Sina Insurance Company respectively, it is the number of employees trained for management and the percentage of the annual number of insurance policies to the number of policies in the industry that require more urgent improvement. These results were also accepted by members of the group.

project management is the application of process, method, knowledge, skills and equipment to meet project requirements. Project performance management and measurement is one of the most important roles of project managers. Earned Duration Management (EDM) technique as a project management methodology is the most recent methodology in this area which unlike former techniques, use time-based data for measuring project performance which derives more realistic result in performance measurement. A novel approach proposed in this article is based on fuzzy approach which is capable to measure project performance under uncertainty using EDM methodology. in this regard, linguistic terms are used for expressing activities progress and development of EDM metrics. also, ranking fuzzy numbers in this research, out of different methods, is based on relative preference relation, however it is complicated but it reserves fuzzy messages. The proposed approach is implemented is a real sample in road construction project and the result are described.

The purpose of this paper is to analyze the supply chain resilience of Electric Power industry in Iran using fuzzy approach. The research is based on a survey of 23 experienced managers and experts in electricity industry having MA, MS or PhD degrees in Management, Electrical Power and Industry Engineering. Questionnaire data was used to assess the resilience status of Electric Power Industry in Iran. According to the results the overall score of electricity industry resilience is 49.78 out of 100. Resilience of Electric Power industry in Iran from different aspects of procedures and processes, peripheral elements, agility, players, flexibility, and economic factors is scored 53.495, 52.78, 52.025, 49.7625, 46.68, and 44.975, respectively.

Achieving an effective, efficient and economical performance is the main responsibility of each organization's management. The efficiency and effectiveness of management in each organization means the ability of its managers in the preparation, development, allocation, maintenance and utilization of the existing resources, and the performance audit is one of useful instruments in improving the planning and control of operations and presentation of methods for the advancement and development of performance. The present research aims to evaluate the present situation of performance audit in the public sector of Iran and present strategies for its improvement. Evaluation of the present situation of performance audit requires experts' opinions considering their mindsets. In the present research, dimensions, components and indices of the performance audit pattern and the functional status of each index were evaluated and the difference between the present situation and the desired one was determined using the experts' opinions. According to the results obtained from the statistical analyses, all of the research indices are important and considering the significance-performance analysis, the functional situation of performance audit indices in the country is in the "acceptable" and "weak" areas.

  we are currently witnessing that, in terms of science production, the gap between the North and the South countries is still remaining despite plenty and diversehigher education institutions and their worldwide development across the world, and the science has not appropriately developed in all countries in parallel with the proliferation of actors in the field of science. In other words, many of the studied countries have completed the popularity and democratization stage in higher education, though only a few were able to achieve sustainable production of science alongside accessing higher education. The author in the present study seeked to findthe conditions needed by a society to achieve academic development in parallel to higher education. In terms of approach, the present study used a fuzzy logic approach to adopt case-oriented comparative approach. Contrary to the quantitative method which is variable-oriented, the present study was case-oriented, in which the causal relationships of the studied cases were based on the set relations rather than on the co-change among variables. This is a cross-sectional study conducted among 108 countries, which includes the data during1995-2010.

Discussion of Results & The results obtained indicate that in many countries the plurality of scientific activists has not yielded scientific development, which can clearly be seen in the countries where despite the above 80% access to higher education, people suffer the scientific efficiencycrisis. This fact suggests that the plurality of scientific activists is solelyacondition necessary for scientific development and in order to realize scientific development, it must be combined with other factors in order to lay the groundwork for the realization of scientific development. The results also indicated that the combination of variables lead to sufficient conditions for the occurrence of the desired event (scientific development). The plurality of scientific actor as a prerequisite for the scientific development is in combination with dynamic and productive economics, economic and cultural globalization, and competitiveness which lead to scientific development. In the meantime, having a dynamic economy was the only condition that appeared in all of causal routes, such that no case was found in the fuzzy truth table, where in the absence of a dynamic economy, the plurality of scientific actors would lead to scientific development. Therefore, the sum of these conditions in the absence of dynamic economics cannot cause configurational causality for the occurrence of the desired event (scientific development). The important thing is the combination of variables and the creation of sufficient causal combinations that lead to the occurrence of the desired event (scientific development). It can be concluded that in the light of strong interaction between the internal and external structure that paves the way for the scientific development along with the development of higher education.
Exemplary cases for this claim are the countries participating in the research sample. Among the 108 countries studied, only 18 countries were among the countries in which the development of access to higher education has led to an increase in scientific production. This is because in these countries, the economy is dynamic and production-based, and while merging in the global system in various dimensions, enjoyed high competitiveness in the international arena. In the rest of the countries, namely, Iran, first, the development of access to higher education is not proportional to the demand section of the economy, i.e. meeting the needs of one sector was not well addressed by the other sector, indicating that, first, the economy was not dynamic and based on production, and second, the volume and intensity of relations were limited in the global system. Consequently, it had a low economic competitiveness potential in the global arena. That is why the development of higher education was not accompanied by increased scientific production. Therefore, it can be concluded that the policies for the development of access to higher education should be designed in line with economic dynamism, symmetrical communication and integration in the global system in the economic, cultural and social dimensions and the promotion of competitive power in the economic arena

design of two phrase mathematical model for green supply chain Green supply chain has attracted considerable attention of the governments and organizations over the past decades. The objective of this research is to suggest an integrated approach for green supply chain management including two stages. In the first stage, a TOPSIS-Fuzzy approach was presented to consider uncertainty in human’s judgment. In the second stage, we applied a robust Multi Objective Mixed-Integer linear Programming model to design the green supply chain network. Although many researches have been conducted on green supply chain management, most of them have not given enough importance to integrate decision making in supply chain. Moreover, most of former researches assume that supply chain is a balanced system. Also very few studies have considered carbon emission and the related issues in supplier evaluation which cause on overall warming and pollution of the planet. The model was designed for an active company in glass industry. results have revealed that the model is capable of controlling the network uncertainties.

Fraud possibility in issued financial statements, negative effects in financial markets and decrease in investment have caused to special attention of responsible regulatory agencies to detection and prevention from fraud. This research aimed to investigation into fuzzy approach ability to fraud detection in financial reporting of some accepted firms by Tehran Stock Exchange. Three hypotheses were stated in this research: 1) Fuzzy decision tree classifier can detect fraud in financial reporting. 2) Sugeno fuzzy classifier can detect fraud in financial reporting. 3) There is a significant difference between results of using fuzzy decision tree classifier and Sugeno fuzzy classifier. The mentioned fuzzy approaches were programmed and hypotheses were tested using Matlab Software. Accuracy average for Fuzzy decision tree classifier was 31/312 and for Sugeno fuzzy classifier was 80/92. It means that the first hypothesis was rejected and the second and third hypotheses were confirmed.