The Dempster–Shafer theory of evidence (DST) has been widely used to handle uncertainty-based information. It is based on the concept basic probability assignment (BPA). Belief intervals are easier manage than a BPA represent For this reason, several uncertainty measures for DST recently proposed belief intervals. In study, we carry out study about crucial mathematical properties and behavioral...

We estimate how much of the wealth of a sample of PSID respondents is held because some households face more income uncertainty than others. We begin by solving a theoretical model of saving, which we use to develop appropriate measures of uncertainty. We then regress measures of wealth on our measures of uncertainty, and find evidence that households engage in precautionary saving. Finally, we...

Alfredo Luis, Gustavo Mart́ın Bosyk, and Mariela Portesi Departamento de Óptica, Facultad de Ciencias F́ısicas, Universidad Complutense, 28040 Madrid, Spain Instituto de F́ısica La Plata (IFLP), CONICET, and Departamento de F́ısica, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, Casilla de Correo 67, 1900 La Plata, Argentina Laboratoire Grenoblois d’Image, Parole, Signal et Automat...

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...

the present study aimed to determine awareness of tehran residents of seven warning signs of cancer, and application of protective measures against cancer. 2500 residents of tehran were selected through systematic cluster random sampling. data collection tool consisted of a questionnaire, comprising 3 sections of demographic details, awareness of warning signs of cancer, and application of prot...

We present an online and data-driven uncertainty quantification method to enable the development of safe human-robot collaboration applications. Safety risk assessment systems are strongly correlated with accuracy measurements: Distinctive parameters often not directly accessible via known models must therefore be measured. However, measurements generally suffer from uncertainties due limited p...