جستجوی مقالات مرتبط با کلیدواژه « Fuzzy Analysis » در نشریات گروه « مدیریت »

The main goal of this research is the fuzzy analysis of urban management success factors of future city indicators. In terms of purpose, the present research is applied research and in terms of method, it is a descriptive-survey research method. Data collection tools included questionnaires and questionnaires. The statistical population of this research are experts in the field of urban management. Purposive sampling method was used to select sample people. Superdesign software was used for data analysis. In the first step, by reviewing the subject literature and research, a large number of indicators of the subject literature have been examined. Following the urban management model, the indicators of future cities were ranked using fuzzy network analysis. In the current research, the factors are placed in six levels. In such a way that laws and regulations were placed at the last level and tourism at the first level. In the continuation of the research, it is taken from the perspective of the future. Examining the results obtained from the above table, rights and laws and social learning and education were reported as the most influential factors with a score of 22. Also, tourism with a total of 17 factors was placed in the first priority of acceptability. The degree of usefulness of the matrix is 100%, which indicates the high validity of the questionnaire and its related answers. Special vector machine of the obtained software: the environment with a weight of 0.358 is the highest priority. The urban body with a normal weight of 0.267 is in the second priority. Transportation with a normal weight of 0.241 is in the third priority. Economy with a normal weight of 0.134 is one of the lowest priorities.

The purpose of this study is to evaluate the feasibility of creating a retail store network with a franchising approach. In this research, using the library method, the effective factors in the pricing strategy have been identified. 35 factors were identified and confirmed in fuzzy Delphi technique. Finally, 8 criteria and 35 sub-criteria were evaluated and prioritized in network analysis and fuzzy dimethyl techniques. In this study, a pair of questionnaires were used. The statistical population of the present study includes all experts and managers. A community is used in the Delphi and ANP stages. According to the research method, snowball sampling method has been used. The number of sample members was 10. In the first stage, in three Delphi rounds, 35 criteria were approved. Identified factors include: scoring characteristics, service quality, contract terms, scoring characteristics, communications management, legal and regulatory factors, technology and communications, and environmental characteristics. Based on the results, legal factors and regulations were among the highest criteria among the main criteria.

Iran is a cradle of a thousand years old civilization, and one of the most important means of preserving the identity of this civilization is its art and culture, especially handmade carpets. One of the most critical issues of the carpet industry is the demand forecast. Identifying the factors affecting the sale of handmade carpets, such as understanding the current and future needs of the customer, the characteristics of consumers, income of customers, the price of handmade carpets, advertising and marketing, e-commerce and setting up exhibitions is one of the most critical approaches to the market aspect of this art, which has been neglected. The purpose of this study is to identify and rank the market factors of Iranian handmade carpets, which is why the market for this product has been studied in Isfahan. At first, the effective components of the sale of handmade carpets were identified. Then, due to the internal relations between these components, using the fuzzy network analysis method, these factors were ranked based on the degree of influence on the number of handmade carpet sales. The importance of the primary and secondary criteria has been quantitatively analyzed, and the effectiveness of these factors has been identified on the supply and demand of this commodity. The results indicate that the price of handmade carpet and carpet authenticity has the most significant impact on the sale of handmade carpets.

Given the importance of the issue of poverty and its presence and expand in Iran, The aim of this study was to design and implement a model of policy in poverty eradication. The factors affecting the implementation of poverty eradication policies in three areas of policy, institutional and micro areas have been classified based on theoretical review. Author to achieve the aims of the study, applied Delphi methodology that relied on literature and field studies identified and content verified 85 index of implementation of the poverty eradication policy. Subsequently 15 people of lawmakers informed on implementation of the poverty eradication policy selected as a Delphi panel. Delphi has accomplished on three steps and necessary agreement with the Kendall tau by 0/81 has achieved. Delphi findings showed that among the primary indicators, 21 factors have been removed and 64 component elements as factors affecting the implementation of the poverty eradication policy has been agreed. Fuzzy analysis results also showed that among the 64 indicators derived, 29 indicators effect on the dependent variable. This four accepted index based on impact factor are; macro environmental factor, organization horizontal relationship, target population feedback impact and policy making variable. Finally, the implementation of the poverty eradication policy on 20-year outlook According to the results equal to 1.059 (very poor) obtained. Based on the results of the study author suggest that government in policy making have an authoritarian approach and in micro level have an interactive, provocation and participatory approach.

This study attempts to present the key factors for creating agile organization in automotive part industry of Mashhad in order of importance. In this regard, factors and sub-factors of organizational agility in the industry were recognized and the importance of them was determined using fuzzy AHP group method. This is an application study using litrature review for determining the factors and sub-factors. Afterward in order to fit and creating the hierarchical structure, a questionnaire was made to gather the expert viewpoint.The content validity of the questionnaire confirmed using literature review, Supervisor, Co-Supervisor and the other experts . For reliability, Cronbach’s alpha value was calculated and obtained 0.7 for all dimenstion of questionnaire and indicates the internal consistency of the questionnaire. Then exploratory factor analysis was conducted and fifteen sub-factors was categorized in the four main components named technology, workers, organization and systems and strategies. In the next section, using fuzzy analytic hierarchy process and contributing group of industry experts, the weight of each factors and sub-factors were determined. Inconsistency rates for all tables, were calculated and less than 0.1 obtained. Finally the priorities of factors and sub-factors were determined. According to the findings, between the factors technology has the first rank and between the sub-factor hardware, software and virtual organization has the first to third rank.