r. sheikh

The data envelopment analysis (DEA) technique is one of the most comprehensive techniques for evaluating the performance of the organization. Studies show that the assumptions of all the techniques of data envelopment analysis have been based on evaluating efficiency of decision making unit (DMU) relative to each other.Different and uncontrollable conditions in each decision-making unit can be one of the reasons for the low validity of the results of assessment. Therefore, self-assessment of decision-making units is the best type of evaluation in which the maximum stability of the conditions is considered and as one of the innovations in this research is mentioned. Since the nature of some input or output variables occurs in uncertainty conditions, fuzzy criteria can be evaluated based on intuitionistic fuzzy information. The model of the intuitionistic fuzzy network data envelopment analysis is the proposed model, which is used in this study for self-assessment Moghan wire and cable firm as a network system.

Justice and its various aspects, especially in case of economic, have been very much considered in the Islamic religion. In the holy system of the Islamic Republic of Iran from the outset, justice have been included in the important goals of the revolution and the justice has always been emphasized among other affairs. In spite of the constant efforts of the authorities in recent years, the adversaries of the revolution have created economic challenges for the country in the field of justice. Due to the importance of this issue, the challenges are becoming a threat to national security. In this regard, the absence of a codified model that could overcome the challenges of this category, by utilizing economic justice capacities and lead to the achievement of the goals set, has led to the emergence of these hazards. In this research, by using a combination method with the application of qualitative methods, case-base and data-base theory and conducting interviews with experts, a set of damages, challenges, capacities and components of the justice system of the Islamic Republic of Iran were extracted, and finally, a model for the country's economic justice has been presented.

Todays, selecting eective and ecient project is of vital importance in any organization. In this respect, the project plays a critical role in organization's future more than any other factor and involves any parts of company, such as marketing, nance-, etc. The selection of projects and work programs are key functions of both public and private sector organizations. In addition, the accurate predictions of future cash ows are faced with diculties. Various objectives are usually taken into account when projects are analyzed, including economic desirability, technical issues, and environmental, and social factors. As the decision maker tries to maximize or minimize outcomes associated with each objective depending on its nature, a Multi-Criteria Decision Making (MCDM) problem arises. Also, choosing a simple, comprehensive technique, which is simultaneously able to compare the ranking of alternatives and then be compared with the virtual alternative, make this complexity too compounded. In fact, adopting a simple technique which ranks the alternatives and compares them to a virtual alternative might be hard especially in fuzzy environment. Then, in this research, the fuzziness of the investment is presented. Fuzzy rate of return analysis, fuzzy B/C ratio, fuzzy payback period techniques and fuzzy project risk-performed in this article- are fuzzy investment analysis techniques. Two scales including eleven points and ve ones of linguistic descriptions use to convert fuzzy numbers into crisp ones and then by applying them, 10 assumed projects rank. Thus, Fuzzy Moora used in this research has several advantages. First and foremost, this method can rate 10 projects with interval characteristic and linguistic scale. Needless to say, it can also determine the relative distance from the ideal (the positive point) and anti-ideal alternative (the negative point).