Today, the problem of non-infectious diseases has overshadowed many health beliefs and has attracted the attention of scientific communities. In the past, the main problem of society and people was infectious diseases and the high mortality caused by these diseases, while today, due to the control of infectious diseases, the development of urbanization, the advancement of industry and machine life, in other words, the change in the quality and lifestyle of people, the spread of diseases Non-communicable diseases have increased and gradually contagious diseases have given their place to non-communicable diseases, so that today the most important causes of death in societies are non-communicable diseases, especially cardiovascular diseases, cancers and accidents. Diabetes mellitus is a chronic disease that is very expensive, complicated and debilitating. By the end of 2017, more than 425 million people between the ages of 20 and 79 were suffering from diabetes, which will reach 619 million people by 2045. For this reason, it is very important to provide diabetes control solutions. In this paper, a new method for simulating control in diabetic patients is presented. For this purpose, the technique of fuzzy expert system has been used in MATLAB software to analyze the data. پرونده مقاله

هدف از این مقاله، فرآیندهای جدید نوآوری، از جمله درک تقاضای اجتماعی، تصرف صنعتی شدن آن، و نوآورانه پیکربندی مجدد دانش یکپارچه به منظور ایجاد توسعه پایدار در بستر کسب وکار جامعه می باشد. با پیدایش رویکردهای نوین در شبکه های اجتماعی، تعاریف و مدل های رفتاری کسب و کارها دچار دگرگونی ساختاری گردیده است. و با نوسازی در برخی از ابعاد خود به باز تعریف مفاهیم در حوزه کسب وکار منجر شده است. به همین منظور مدلی برای کارآفرینی سازمانی مبتنی بر حاکمیت شرکتی به عنوان یک راهکار اقتصادی استفاده شده است. از آن جائیکه بانک ها و شرکت های تابعه آن ها پتانسیل های لازم برای فعالیت در این حوزه ها را دارندو به دلیل رویکردهای نوین در کسب و کار به نحوی دخیل هستند. لذا از این رو بانک ها بایستی به فکر تلفیق ساختار کارآفرینی سازمانی با حاکمیت شرکتی برای استفاده از این رویکرد در اکوسیستم کسب و کار خود باشند. لذا تحقیق در بستر یکی از بانک های توسعه یافته ایران از این منظر صورت پذیرفت. به منظور آزمون یافته های این تحقیق توصیفی، از روش جمع آوری داده ها از طریق پرسشنامه استفاده گردید. و داده های خام با استفاده از فنون آماری مورد تجزیه و تحلیل قرار گرفت. به منظور اعتبار یابی مدل، روش معادلات ساختاری مورد استفاده قرار گرفته است. بر اساس نتایج بررسی های آماری همه عوامل دارای اعتبار لازم بودند. پرونده مقاله

یکی از مهم ترین مباحث مطرح شده در زنجیره تأمین، برنامه ریزی یکپارچه تولید- توزیع است. تولید و توزیع یکپارچه محصولات در یک زنجیره تأمین نقش مهمی را در کاهش هزینه های زنجیره بر عهده دارد. در این مقاله، مدلی دو هدفه برای مسئله تولید- توزیع یکپارچه در یک زنجیره تأمین سه سطحی شامل کارخانه های تولیدی، مراکز توزیع و مشتریان برای چند نوع محصول و در طی چندین دوره زمانی ارائه شده است. دو هدف غیر هم راستا شامل کمینه کردن کل هزینه های زنجیره و به حداقل رساندن هزینه های مربوط به انبارهای توزیع، در مدل پیشنهادی در نظر گرفته شده است. از روش Lp- متریک با پارامترهای P = 1 و P = ∞ به منظور حل مدل، استفاده شده است. در نهایت به منظور اثبات عملکرد مناسب روش حل مسئله، با در نظر گرفتن دو شاخص کیفیت، جواب به صورت تابع هدف، یکپارچه شده و زمان محاسباتی این روش بر روی مسائل مختلف مورد تجزیه و تحلیل قرار گرفته است. پرونده مقاله

In many real world assembly line systems which the work-piece is of large size more than one worker work on the same work-piece in each station. This type of assembly line is called multi-manned assembly line (MAL). In the classical multi-manned assembly line balancing problem (MALBP) the objective is to minimize the manpower needed to manufacture one product unit. Apart from the manpower, other cost drivers like wage rates or machinery are neglected in this classical view of the problem. However due to the high competition in the current production environment, reducing the production costs and increasing utilization of available resources are very important issues for manufacturing managers. In this paper a cost-oriented approach is used to model the MALBP with the aim of minimizing total cost per production unit. A mathematical model is developed to solve the problem. Since the proposed model is NP-hard, several heuristic algorithms and a genetic algorithm (GA) are presented to efficiently solve the problem. Parameters and operators of the GA are selected using the design of experiments (DOE) method. Several examples are solved to illustrate the proposed model and the algorithms. پرونده مقاله

This paper considers a multi-objective portfolio selection problem imposed by gaining of portfolio, divided yield and risk control in an ambiguous investment environment, in which the return and risk are characterized by probabilistic numbers. Based on the theory of possibility, a new multi-objective portfolio optimization model with gaining of portfolio, divided yield and risk control is proposed and then the proposed model is solved as a fuzzy goal programming model to fulfill aspiration level of each objective. Furthermore, numerical example of efficient portfolio selection is provided to illustrate that proposed model is versatile enough to be applicable to various unexpected conditions. This paper considers a multi-objective portfolio selection problem imposed by gaining of portfolio, divided yield and risk control in an ambiguous investment environment, in which the return and risk are characterized by probabilistic numbers. Based on the theory of possibility, a new multi-objective portfolio optimization model with gaining of portfolio, divided yield and risk control is proposed and then the proposed model is solved as a fuzzy goal programming model to fulfill aspiration level of each objective. Furthermore, numerical example of efficient portfolio selection is provided to illustrate that proposed model is versatile enough to be applicable to various unexpected conditions. پرونده مقاله

In Today’s quality- based competitive world, known as knowledge age, customer attraction is of ultimate importance. In respect to the slogan “customer is always right”, customer relation management is the core of an organizational strategy playing an important role in four aspects of customer identification, customer attraction, customer retaining, and customer satisfaction. Commercial organizations have perceived increased value of customers through analysis of customers’ life cycle. Data storing and data mining tools along with other customer relation management methods have provided new opportunities for the business. This paper tries to help organizations determine the criteria needed for the identification of potential customers in the competitive environment of their business by employing data mining in practice. It also provides a mechanism for the identification of potential customers liable to becoming real customers. Using Decision Tree tool, the main criteria are identified and their importance are determine din this paper and then assuming that each main criterion consists of several sub-criteria, their importance in turning potential customers into real ones is in turn determined. By utilizing the identified criteria and sub- criteria, organizations are able to drive selling processes in each attendance in a direction which results in attendants’ (future customers) purchase. پرونده مقاله

This paper proposes a satisfying optimization method for fuzzy multiple objective optimization problem. Actually, the presented method realizes the trade-off between optimization and fuzzy importance requirement. Generally, the main aim of the presented approach is to make the more important objective achieving the higher desirable satisfying degree. In practice, vagueness and imprecision of the goals, constraints and parameters in this problem make the decision-making complicated for decision makers who have to deal with the parameters to make the optimized decision. Hence, the reformulated optimization models based on goal programming is proposed for different fuzzy relations and fuzzy importance. In fact, decision makers can select the appropriate alternative considering their determinations from variety of solutions using parameter λ. Applying the proposed model, not only the satisfying results of all the objectives can be acquired, but also the fuzzy importance requirement can be simultaneously actualized. In addition, a numerical example is provided to illustrate how the model is applied. Finally, the conclusions and recommendations are presented. پرونده مقاله