자기조직화 신경망을 이용한 고속도로 유지관리 서비스 등급 개선에 대한 연구

• 영문명: A Study on Improvement of Level of Highway Maintenance Service Using Self-Organizing Map Neural Network
• 발행기관: 한국IT서비스학회
• 저자명: 신덕순(Duksoon Shin) 박승범(Sungbum Park)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제20권 제1호, 81~92쪽, 전체 12쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2021.02.28

영문 초록

As the degree of economic development of society increases, the maintenance issues on the existing social overhead capital becomes essential. Accordingly, the adaptation of the concept of Level of service in highway maintenance is indispensable. It is also crucial to manage and perform the service level such as road assets to provide universal services to users. In this regards, the purpose of this study is to improve the maintenance service rating model and to focus on the assessment items and weights among the improvements. Particularly, in determining weights, an Analytic Hierarchy Process (AHP) is performed based on the survey response results. After then, this study conducts unsupervised neural network models such as Self-Organizing Map (SOM) and Davies-Bouldin (DB) Index to divide proper sub-groups and determine priorities. This paper identifies similar cases by grouping the results of the responses based on the similarity of the survey responses. This can effectively support decision making in general situations where many evaluation factors need to be considered at once, resulting in reasonable policy decisions. It is the process of using advanced technology to find optimized management methods for maintenance.

목차

1. 서론

2. 이론적 배경 및 선행 연구

3. 가중치와 군집화를 위한 모델링

4. 토론

5. 결론

키워드

Bigdata Artificial Intelligence Self-Organizing Map AHP Service Level Model