جستجوی مقالات مرتبط با کلیدواژه "fuzzy approach" در نشریات گروه "مالی"

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.

Nowadays, environmental impacts and lack of accountability for human resources of the planet has become the main Concern. All organizations, including automakers are required to enter reverse logistics processes, as they are obliged to take responsibility for the proper disposal of waste products and their return. In this study, to achieve the readiness of Irankhodro in implementing reverse logistics, first 21 index and 52 sub-indicators contributing to the implementation of reverse logistics extracted from the literature and these indicators into four groups, agents, strategic, tactical and operational division were classified. After preparing the model, based on the first questionnaire and get expert opinions, weighted average priority (rank) of measurement was calculated and normalized. Complimentary 4 is designated as input, for each of the 3 linguistic variable low, medium and high-definition and 81 fuzzy rule if-then as a knowledge base into the MATLAB software. Using information obtained from the questionnaire's the 4 variables were calculated according to the membership function defined in an application for input variables, the readiness of Irankhodro Industrial Group fuzzy set "average" was awarded. Accordingly, proposals to implement the reverse logistics in industry group better presented.