شبکه هوشمند برای نظارت بر بیمار مبتلا به سرطان سینه بر مبنای آرایش شبکه و تحلیل سلسله‌مراتب فازی

جواد نوری پور ¹ ( دانشکده مهندسی مکانیک، برق و کامپیوتر- واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران )
محمدعلی پورمینا ² ( دانشکده مهندسی مکانیک، برق و کامپیوتر- واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران )
محمد ناصر مقدسی ³ ( دانشکده مهندسی مکانیک، برق و کامپیوتر- واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران )
بهبد قلمکاری ⁴ ( دانشکده مهندسی مکانیک، برق و کامپیوتر- واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران )

تاریخ ارسال : 1401/09/18 تاریخ تایید : 1402/01/16

کلید واژه: تحلیل سلسله مراتبی فازی, تومور سینه, وزن ارتباطی, آرایش توانمندی شبکه, گره‌‌ها,

چکیده مقاله :

در این مقاله شبکه هوشمند برای نظارت بر بیمار مبتلا به سرطان سینه مطرح شده است. افزایش سرعت شبکه نظارت بر بیمار به نوع مشاهده، تفکر و درک ما از بیمار بستگی دارد. عوامل مختلفی از شبکه باعث شناخت بیشتر بیماری است که این عوامل با توجه به نوع آرایش شبکه، تعداد گره ها، قابلیت گره ها و جهت لینک های ارتباطی بستگی دارد. چرخه کنترل و نظارت بر بیمار شامل مشاهده، جهت گیری، تصمیم و عمل است که این چرخه مجموعه ای از اعمال متوالی هست که با تغییر آرایش شبکه، جهت گیری، تصمیم و عمل تغییر می یابد. در این مقاله ساختار شبکه هوشمند با توجه به وزن گره های مسیرهای ارتباطی به گونه ای طراحی می شود که چرخه کنترل و نظارت (تحلیل، تصمیم و عمل) عملکرد خوبی را داشته باشد. چرخه کنترل و نظارت با روش پیشنهادی فرآیند تحلیل سلسله مراتبی فازی (FAHP) مدل سازی می شود. این مدل با شناخت اولویت های شناسایی، معیارهای تصمیم گیری را به گونه ای تنظیم می کند که با کمترین زمان، سرعت تشخیص شبکه افزایش یابد و همچنین ابزاری مناسب برای مدل سازی چرخه نظارت و نتایج حاصل از شبکه هوشمند است. نتایج شبیه سازی نشان می دهد که این شبکه از هوشمندی لازم برای ارزیابی وضعیت بیمار در شرایط نامطلوب، قدرت تحلیل و ارزیابی مداوم بیمار را دارد و همچنین قدرت تصمیم گیری به موقع در وضعیت های مختلف را دارد. این نتایج نشان می دهد که با توجه به آرایش شبکه و تحلیل سلسله مراتبی فازی نرخ سرعت شبکه نسبت به دیگر شبکه ها به میزان ۱۰ درصد بهبود یافته است.

چکیده انگلیسی :

In this article, a smart network is proposed to monitor a patient with breast cancer. Increasing the speed of the patient monitoring network depends on our observation, thinking and understanding of the patient. Various factors of the network make us more aware of the disease. has it. The cycle of controlling and monitoring the patient includes observation, orientation, decision and action, this cycle is a set of consecutive actions, which changes with the change of network arrangement, orientation, decision and action. In this article, we design the structure of the smart network according to the weight of the nodes, the communication paths in such a way that the cycle of control and monitoring (analysis, decision and action) performs well. We model the control and monitoring cycle with the proposed method of fuzzy hierarchical analysis process (FAHP). This model adjusts the decision-making criteria by recognizing the identification priorities in such a way that the speed of network detection increases with the least time. It is also a suitable tool for modeling the monitoring cycle and the results of the smart network. The simulation results show that this network has the necessary intelligence to assess the patient's condition in adverse conditions, has the power to continuously analyze and evaluate the patient, and also has the power to make timely decisions in different situations. These results show that according to the network arrangement and fuzzy hierarchical analysis, the speed rate of the network has improved by 10% compared to other networks.

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