To solve the seafood quality and safety information table missing data problem, a method for filling missing data based on rough set was proposed. This method first determine whether there is missing data in information table, if there is, then the information table is divided into two parts, one for the complete information table, and the other part is totally incomplete information table, and then complete the information sheet structure similar matrix to calculate the attributes importance, then calculate the number of missing attributes in incomplete information table, and the calculated results conjunctive operation to fill the missing data. If it is not, then output directly. Numerical examples show that the method can be used filling the missing data in seafood quality and safety information table effectively.
목차
Abstract 1. Introduction 2. Related Definitions and Theorems 2.1. Related Definitions 3. The Basic Thought of Data Filling Algorithm 4. Data Filling Algorithm Study 5. Example 6. Conclusion Reference
키워드
Rough setsseafoodfillsimilarity matrixquality and safetyfrequency function.
저자
Xu E [ Department of Information Science & Technology, Bohai University, Jinzhou 121000, China ]
Shuang Lin [ Department of Information Science & Technology, Bohai University, Jinzhou 121000, China ]
Lulu Jin [ Department of Information Science & Technology, Bohai University, Jinzhou 121000, China ]
보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Security and Its Applications
간기
격월간
pISSN
1738-9976
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.8 No.5