close
تبلیغات در اینترنت
Designing a Fuzzy Expert Decision Support System Based on Decreased Rules to Specify Depression

جستجو گر پیشرفته سایت



آخرین ارسال های انجمن
دسته : مقاله , کتاب ,

Designing a Fuzzy Expert Decision Support System Based on Decreased Rules to Specify Depression

Article Title: Designing a Fuzzy Expert Decision Support System Based on Decreased Rules to Specify Depression
DOI: https://doi.org/10.1007/978-981-10-86...
Chapter: 15 Pages: 197-213

Authors: Hamed Movaghari, Rouhollah Maghsoudi, Abolfazl Mohammadi

Editors:   Shahram Montaser Kouhsari,  Ali Safaei 

Abstract: Depression is a psychological disorder, if it doesn’t be diagnosed and cured in time, can effect on quality of humans’ life in wide dimensions. Thus, diagnosis easily and quickly is necessary need of sociality’s generally healthy. The aim of this paper is designing an fuzzy decision support system to implement BDI-II. Questions for BDI-II are grouped into multiple factors. In medical sciences, disorders, and diseases that lack high confidence and complexity in diagnosis, intelligent systems have better confidence capacity in diagnosis. In this investment, the structure is designed in form of two factors and five factors. The results show that designed system with two factors compared to five factors structure with 94.2% diagnostic power has implementations train data of BDI-II. Hence, in future, the psychologist can use this system as a decision support system of decision support in clinical and hospital diagnoses.

Keywords: Fuzzy logic, ANFIS, Depression, BDI-II

More information ...

 

Book Title: Fundamental Research in Electrical Engineering: Selected Papers of the 1st International Confernces, Held in Tehran, Iran, July, 21, 2017.

 

Published June 26th 2018 by Springer

 

DOI: https://doi.org/10.1007/978-981-10-8672-4

 

Series Titl: Lect. Notes Electrical Eng.

 

Volume Number: 480

 

This volume presents the best of the best of the First International Conference on Fundamental Research in Electrical Engineering, held at Khwarazmi University, Tehran, Iran in July, 2017. The papers were selected out of 1700 peer reviewed papers and cover whole spectrum of the main four fields of Electrical Engineering (Electronic, Telecommunications, Control, and Power Engineering).

 

Article Title: Designing a Fuzzy Expert Decision Support System Based on Decreased Rules to Specify Depression

 

DOI: https://doi.org/10.1007/978-981-10-8672-4_15

Chapter: 15 Pages: 197-213

 

Authors: Hamed Movaghari, Rouhollah Maghsoudi, Abolfazl Mohammadi

Editors:   Shahram Montaser Kouhsari,  Ali Safaei 

 

Abstract: Depression is a psychological disorder, if it doesn’t be diagnosed and cured in time, can effect on quality of humans’ life in wide dimensions. Thus, diagnosis easily and quickly is necessary need of sociality’s generally healthy. The aim of this paper is designing an fuzzy decision support system to implement BDI-II. Questions for BDI-II are grouped into multiple factors. In medical sciences, disorders, and diseases that lack high confidence and complexity in diagnosis, intelligent systems have better confidence capacity in diagnosis. In this investment, the structure is designed in form of two factors and five factors. The results show that designed system with two factors compared to five factors structure with 94.2% diagnostic power has implementations train data of BDI-II. Hence, in future, the psychologist can use this system as a decision support system of decision support in clinical and hospital diagnoses.

 

Keywords: Fuzzy logic, ANFIS, Depression, BDI-II

 

لـــیـــنـــک کــیــوآر پست

Designing a Fuzzy Expert Decision Support System Based on Decreased Rules to Specify Depression


جمعه 19 مرداد 1397
ادامه مطلب
ارسال نظر برای این مطلب

نام
ایمیل (منتشر نمی‌شود) (لازم)
وبسایت
:) :( ;) :D ;)) :X :? :P :* =(( :O @};- :B /:) :S
نظر خصوصی
مشخصات شما ذخیره شود ؟ [حذف مشخصات] [شکلک ها]
کد امنیتیرفرش کد امنیتی
فایل ها و پروژه ها

پربازدید

پرفروش

جدیدترین ها

تصادفی


تقویم جلالی
اوقات شرعی
آمار کاربران

آمار مطالب آمار مطالب
کل مطالب کل مطالب : 17
کل نظرات کل نظرات : 18
آمار کاربران
آمار کاربران
افراد آنلاین افراد آنلاین : 1
تعداد اعضا تعداد اعضا : 11

کاربران آنلاین کاربران آنلاین

آمار بازدید آمار بازدید
بازدید امروز بازدید امروز : 19
باردید دیروز باردید دیروز : 7
ورودی امروز گوگل ورودی امروز گوگل : 0
ورودی گوگل دیروز ورودی گوگل دیروز : 0
بازدید هفته بازدید هفته : 32
بازدید ماه بازدید ماه : 329
بازدید سال بازدید سال : 2,211
بازدید کلی بازدید کلی : 8,478

اطلاعات شما اطلاعات شما
آِ ی پیآِ ی پی : 35.175.182.106
مرورگر مرورگر :
سیستم عامل سیستم عامل :
خبرنامه
براي اطلاع از آپيدت شدن سایت در خبرنامه سایت عضو شويد تا جديدترين مطالب به ايميل شما ارسال شود