یکی از بهترین ابزارها برای ارزیابی عملکرد واحدهای تصمیم گیرنده، تحلیل پوششی داده ها است. تحلیل پوششی داده های سنتی در سنجش واحدهای کارا و ناکارا و ارزیابی عملکرد سیستمهای شبکه ای به درستی عمل نمی کنند و مدلهای سنتی تحلیل پوششی داده ها به ساختارهای درونی و مقادیر میانی توجهی ندارند. به همین علت در سالهای اخیر مدلهای تحلیل پوششی داده ها معروف به مدلهای تحلیل پوششی داده های شبکه ای معرفی شده اند، این مدلها با لحاظ نمودن مقادیر میانی، این نقص را برطرف کردند. در این مقاله برای شناسایی کارایی واحدها از تحلیل پوششی داده ها مبتنی بر متغیرهای کمکی شبکه ای بصورت دو مرحله ای و از داده های فازی شهودی مثلثی، استفاده شده است. به طوری که در ابتدا مدل تحلیل پوششی داده های دو مرحله ای معرفی می گردد و سپس مدل بر اساس ضرایب متغیرهای فازی شهودی تبدیل گردیده و سرانجام به کمک عملگرهای حسابی روی داده های فازی شهودی به ساختارهای دو مرحله ای قطعی تبدیل می شود. اهمیت این مدل اندازه گیری مقادیر متغیرهای کمبود و مازاد می باشد، که بر اساس مدل تون و تسوتسوی به بهینه سازی مقادیر میانی برای واحدهای ناکارا می پردازد و نهایتا ناکارایی را بهتر نشان می دهد. سرانجام مقادیر بهینه شده میانی در مدل مطرح شده لحاظ گردیده و بدین طریق منجر به بهبود مقدار کارایی کل سیستم می شوند . Manuscript profile

Today, the information systems play a critical role in business for each organization. Like other organizations, hospitals use information systems for data collection, data storage, data processing and the like to have long-term and short-term achievements. Despite the very benefits of implementing HIS and its costly implementation, the HIS project sometimes fails. The importance of the HIS failure and preventive practices in this regard have led researchers investigate the causes of failure for information systems in hospitals. In this paper, an FMEA-based model is presented in an intuitionisticfuzzy environment to evaluate the HIS failure factors. For this purpose, Data required to implement the proposed model were collected in 5 hospital, in Kerman (Iran). Based on research studies and survey of hospital academic experts, a total number of 27 failure modes were determined for the implementation HIS. The results of the proposed approach indicated that 8 factors are of paramount importance in terms of HIS failure causes: Individuals' lack of skill/knowledge, lack of integration between system and organizational activities, unrealistic planning, lack of IT management or weak project team (information system), improper software development, lack of managerial skills, misdiagnosis of roles and responsibilities, inconsistency between corporate culture and change requirements (compatibility). Manuscript profile

The healthcare sector is one of the largest service industries with the highest potential to improve environmental performance. Hospitals as an important part of the healthcare system must act in a way that reduces their environmental consequences, which requires having a green supplier. The aim of this study was to identify the effective factors on the green supplier selection (GSS) in the hospital and to present an excellent model for analyzing the relationships between these factors. In this study, 14 concepts that effect the green supplier selection of a hospital have been extracted from in-depth literature and interviews entailing: financial capability, creativity and innovation, green technology, flexibility, organizational capability, commitment, trust on supplier, green quality, green transportation, environmental cooperation with customers, hazardous materials management, buy green, green warehouse and green packaging.In addition Intuitive fuzzy cognitive mapping approach was also used for data analysis and conclusion. The results showed that green technology index with 0.43 degree was the most influential and organizational capability index with 0.29 degree had the most influence over the other concepts. In addition, focusing on concepts like financial capability, trust on supplier and creativity and innovation process of green supplier selection of hospital. Taking these in consideration these factors should be given specific attention. Manuscript profile