A Subjectivity Quantification Model based on Cloud Theory
Subjectivity is an indiscerptible characteristic of human and agents or entities of artificial systems. It results from uncertainties widely existed in natural facts and human cognition processes, and results to imprecise cognition. Cloud theory integrates fuzziness and randomness, which are two kinds of most important uncertainties. Based on cloud theory, a quantification model for subjectivity is proposed. Deviation degree, which is the extent that expectation value of sub sample set deviates from that of total sample set, indicates cognition difference of subjectivity. Fuzzy degree, which is the ratio of sub sample sets entropy to its expectation value, indicates cognition fuzziness of subjectivity. Random degree, which is the ratio of sub sample sets hyper entropy to its entropy, indicates cognition randomness of subjectivity. A computation instance of node reputation in trusted networks is simulated to demonstrate the proposed subjectivity quantification model and its application.
subjectivity quantification model cloud theory fuzziness randomness trusted network reputation
Zhixiao Yang Yanfeng Fan Bin Zhang
College of Information Science and Engineering Henan University of Technology Zhengzhou,China
国际会议
太原
英文
198-202
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）