Hesitancy measurement based on intuitive trust analysis
Lihua Duan · Journal of Liaoning Technical University · 2010
A hesitancy measurement method using intuitive trust analysis is proposed based on human brain's intuitive fuzzy features toward the trust categories,experience mapping and intuition inversion principle (EMAIIP). Also,the concept of hesitancy set is presented in this paper. This study shows that the construction of information system about human intuition is an effective way for analyzing intuitive fuzzy sets. The hesitancy degree is a trust measurement of intuitive behavior. The fuzzy perceptible angle can be used in measuring the formation and variation of hesitancy from the trust option of behavior attributes. In addition,the model of minimum fuzzy degree is an effective hesitancy control method for the rationality of behavior selection under uncertain conditions. This paper introduces a new method for nondeterministic decision making theory,and enriches the content of intuition fuzzy set. It not only provides a control strategy for decision making,but also establishes a new intelligent analyses method for interactive intuition learning system.