This paper offered a procedure for ranking the entrepreneurial and innovative indicators using Multi Criteria Decision Making (MCDM), taking into account three individual,organizational and cultural dimensions simultaneously in decision making procedure. Henceforward, by using the Meta synthesis framework, the form of group classification of indicators from afinding’s combination was suggested and recognized. After that, the entrepreneurship and innovation specialists' sight were congregated based on Meta-analysis. Then, the indicators were arranged using Analytical Network Process (ANP) and the Decision-Making Trial and Assessment Laboratory (DEMATEL). The outcomes foundfrom Meta-analysis and MCDM methods were used as input and output data, respectively, to describe the methodology of evaluating and prioritizing entrepreneurial and innovative criteria in smart international companies. پرونده مقاله

مسأله بهینه سازی، همواره مد نظر بشر بوده است و او را بر آن داشته است که با توجه به محدودیت منابع در دسترس، به دنبال راهی باشد که بیشترین مزیت را برای او ایجاد کند و او را در تصمیمات پیش رو یاری نماید. در این تحقیق مسأله بهینه سازی پرتفوی، با توجه به اهمیت آن در بورس به عنوان محور اصلی نظام مالی هر کشور و نقش آن در تخصیص بهینه منابع، از یک طرف، و برای سرمایه گذاران که خواهان بازده بیشتر و ریسک مورد انتظار کمتری هستند، از طرف دیگر، مورد بررسی قرار می گیرد. سپس یک مدل در شرایط فازی به نحوی طراحی می شود که ضمن به حداقل رساندن ریسک، حداکثر بازده مورد انتظار را برای سرمایه گذاران به ارمغان بیاورد، در این راه از روشهای تصمیم گیری چند هدفه (MODM) کمک گرفته می شود. در این پژوهش پس از مدل سازی، به عنوان مورد کاوی، پرتفوی بورسی شرکت سرمایه گذاری بانک ملی مورد بررسی قرار می گیرد. پرونده مقاله

The present paper presented a methodology for prioritizing the innovative and entrepreneurial indicators using Multi Criteria Decision Making (MCDM) and Artificial Neural Networks (ANNs), taking into account three individual, organizational and cultural dimensions simultaneously in decision making procedure. This methodology has two main advantages: first, the speed of operation in the accounting process and its simplification, and the other is the high precision with the elimination of errors in the calculations. Hence, a combination of findings were considered and identified in the Meta synthesis framework in the form of group categorization of indicators. Then, the entrepreneurship and innovation experts' opinion were gathered based on Meta-analysis. Next, the indicators were prioritized using Analytical Network Process (ANP) and the Decision-Making Trial and Assessment Laboratory (DEMATEL). The results obtained from Meta-analysis and multi criteria decision making methods were used as input and output data, respectively, to create an Artificial Neural Network model. Finally, the Artificial Neural Network model was designed in the form of Multi-layer Perceptron (MLP) Neural Network. پرونده مقاله