earticle

논문검색

Data Recovery Method for Seafood Quality Safety System Based on Rough Set Theory

원문정보

초록

영어

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

저자정보

  • 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

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.