원문정보
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, fuzzy entropy and similarity measure to measure the uncertainty and similarity of data as real value were introduced. Design of fuzzy entropy and similarity measure were illustrated and proved. Obtained measures were applied to the calculating process and discussed. Extension of data quantification results such as decision making and fuzzy game theory were also discussed.
한국어
본 논문에서는 실제 값과 같은 데이터의 불확실성과 유사성을 측정 할 수 있는 퍼지 엔트로피와 유사성 측정이 소개되고 있다. 퍼지 엔트로피와 유사성 측정의 디자인이 설명하고 입증했다. 획득 수단은 연산 프로세스에 적용되고 논의되었다. 이러한 의사 결정과 퍼지 게임 이론과 같은 데이터 정량화 결과의 연장도 논의되었다.
목차
요약
Abstract
1. Introduction
2. Fuzzy Entropy and Similarity Measure
2.1 Illustrations of Fuzzy Entropy and Similarity measure
2.2 Fuzzy Entropy and Similarity Measure Application
3. Application to Related Topics
3.1 Decision Theory
3.2 Characteristics of Relative Information Measure
3.3 Fuzzy Coaliation in Game Theory
4. Conclusions
References
Abstract
1. Introduction
2. Fuzzy Entropy and Similarity Measure
2.1 Illustrations of Fuzzy Entropy and Similarity measure
2.2 Fuzzy Entropy and Similarity Measure Application
3. Application to Related Topics
3.1 Decision Theory
3.2 Characteristics of Relative Information Measure
3.3 Fuzzy Coaliation in Game Theory
4. Conclusions
References
저자정보
참고문헌
자료제공 : 네이버학술정보