جستجوی مقالات مرتبط با کلیدواژه « fuzzy inference system » در نشریات گروه « علوم اجتماعی »

Teachers evaluation as one of the essential educational needs has an important role in improving educational quality and developing smart schools. The lack of implementation of a systematic and scientific evaluation system not only will discourage committed teachers, but also will have consequences such as reduced commitment and leave the organizational work. Therefore, the present study attempts to present a fuzzy inference system (FIS) model to evaluate the performance of teachers working in smart schools of Yazd province. In this regard, after reviewing the literature and identifying the factors affecting performance evaluation in two sections of computer literacy and classroom performance, the fuzzy Delphi technique was used to get experts agreement (20 experts) on the model’s final criteria. The ambiguity and complexity of performance appraisal criteria, especially qualitative criteria, as well as the use of verbal variables for extracting expert opinions, led to the use of fuzzy inference system for analyzing model components. In the case of the under study schools, the output of the system indicates that the status of smart school teachers in the basic courses and content production criteria is at intermediate level, in the Internet and educational supplementary software is at a relatively high level, and in the educational content development and electronic evaluation is at a low level. Based on these findings, teachers performance in smart schools was evaluated as medium level. Finally, some suggestions were proposed to improve the current status of smart schools.

This study aims at presenting a model for evaluating the effectiveness of implementing the Five-Year Development Plan Policies of the Islamic Republic of Iran in the Social Security Organization. As a combined method, quantitative methods (fuzzy inference system) and qualitative methods (interviews to determine fuzzy rules) have been used in different stages so that the implemented policies could be adequately evaluated. The statistical population of the study included the managers of the Social Security Organization and university professors who were selected through the purposive sampling method. The theoretical framework used to evaluate the effectiveness of the policies implemented in this organization was a combination of the two models of Matland and Hill and Hope. The results of the study showed that the level of conflict and ambiguity in the policies of the Social Security Organization was relatively high and the highest weaknesses were in terms of evaluation and accuracy in formulating the policies in this organization. The results of the dependence between the variables and the if-then rules indicate that if there are so many contradictions and ambiguities in the policies, if the level of using influence tools (use of force in the implementation of the policy), exchanging (use of bargaining and market-oriented view), and persuasion (cultural mechanisms) is too much, the policies will get ineffective. However, the final output of the Matland model indicated that due to the fuzzy nature of the model, the policies stood between the two functions of high and medium membership which shows low level of effectiveness.

Environmental legal regulations, stakeholder pressures, and globalization have led firms and organizations to develop environmental practices and practices; Accordingly, the purpose of this paper is to evaluate the green supply chain of small and medium-sized manufacturing companies using a combination of dependency rules and fuzzy inference system. This research has been applied from the point of view of purpose and based on the method of conducting descriptive modeling research. The statistical population of this study included all small and medium production companies in East Azarbaijan province. Stati.stical sample of 297 companies has been determined. A researcher-made questionnaire was used to collect the data. To investigate the validity of the questionnaire, the validity of the structure was used based on confirmatory factor analysis. Cronbach's alpha coefficient was also used to evaluate the reliability. The research questionnaires were distributed among the members of the statistical sample after confirmation of validity and reliability. In order to evaluate the green supply chain of companies, fuzzy inference system has been used based on triangular membership functions, Mamdani inference and dependency rules. The results show that a system designed with 43 dependency rules is able to assess the greenness of a company's supply chain based on numerical values and linguistic terms