Interval-valued intuitionistic fuzzy set (IVIFS) has developed to cope with the uncertainty of imprecise human thinking. In the present communication, new entropy and similarity measures for IVIFSs based on exponential function are presented and compared with the existing measures. Numerical results reveal that the proposed information measures attain the higher association with the existing me...

*Correspondence: [email protected] 2School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China Full list of author information is available at the end of the article Abstract Importance measure is an index for estimating the importance of an individual component or a group of components in a reliability system. So far, the importance measures for compon...

Suppose a die is being rolled. One thing is to be uncertain about the facet that will eventually show up. One quite different thing, is to be uncertain about whether the die is fair or otherwise unbiased. We can rather naturally refer to first order and second order uncertainty, respectively. In the former case we are uncertain about some (presently unknown) state of affairs. In the latter we a...

This study examines the relationship between hospital structural characteristics and coding accuracy from the perspective of quality measurement. To measure coding accuracy for quality measurement, the study utilizes the "present on admission" indicator, a data element in the New York state hospital administrative database. This data element is used by hospitals across New York state to indicat...

Importance measure is an index to describe the importance of an individual component or a group of components within a reliability system. Up to now, importance measures for components in stochastic reliability systems have been investigated. And importance index for a component and a group of components in an uncertain reliability system has also been studied. In the real world, components wit...

the option-pricing problem is always an important part in modern finance. assuming that the stock diffusion is a constant, some literature has introduced many stock models and given corresponding option pricing formulas within the framework of the uncertainty theory. in this paper, we propose a new stock model with uncertain stock diffusion for uncertain markets. some option pricing formulas on...

in this paper, controlling the gyros with linear plus cubic damping is considered. hence, an adaptive control algorithm is proposed to overcome the uncertainties in model parameters and the chaotic behavior of gyroscopes. it is noted that for general applications dynamic model coefficient of gyros is not precisely determined, on the other hand, with respect to a particular coefficient gyroscope...

evaluative and comparative analysis among educational projects remains an issue for administration, program directors, instructors, and educational institutes. this study reports a fuzzy complexity model for educational projects, which has two primary aspects (technical aspects and transparency aspects). these aspects may not be measured precisely due to uncertain situations. therefore, a fuzzy...