메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술대회자료
저자정보
Prommy Sultana Hossain (Chungnam National University) Junaid Khan (Chungnam National University) Kyungsup Kim (Chungnam National University)
저널정보
한국정보통신학회 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING 2022 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING Vo.13 No.1
발행연도
2022.1
수록면
22 - 25 (4page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Traditional informal long-term care toward our elder memebrs of the family is becoming increasingly difficult to maintain with the declining family sizes and the migration of their children to big cities. It has become a common phenomenon to seek for establishments that provide such care towards elderly. However, the majority of the services provided by these institutions are ineffective for inhabitants. As a result, choosing the services that contribute the most to a senior citizen"s quality of life at a retirement home is a difficult and time-consuming task that necessitates deliberation among a group of specialists and consideration of numerous conflicting criteria. In our proposed method we propose Fuzzy MCDM methods to distinguish the most important services required in a retirement home to prolong the stay of the senior citizens. We integrated the fuzzy logic with two of MCDM methods; AHP and TOPSIS to overcome the challenges of computing weights of multi criteria in terms of accuracy. We also used our suggested methodologies to a case study in Dhaka City to demonstrate the applicability of the proposed method to the assessment problem. When compared, the findings to our methodology with existing methods; PROMETHEE and Fuzzy VIKOR. Our proposed method had lowest computational time and produced comparable conclusions similar to the case study. Which implies that our proposed method is efficient and feasible.

목차

Abstract
I. INTRODUCTION
II. SYSTEM MODEL AND METHODS
III. RESULTS
IV. DISCUSSION AND CONCLUSIONS
REFERENCES

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0