Objectives Generalized Anxiety Disorder (GAD) is a highly prevalent distressing condition for individuals in both community and healthcare staff. In this regard, lack of effective psychological and medical treatments can impose a high cost on the family and society. Methods A total of 22 female patients with GAD after primary clinical evaluation and qualifying conditions were selected and divi...

Both the Self-Organizing Map (SOM) and fuzzy ARTMAP neural network are trained based upon the competitive mechanism and use the “winner-take-all” rule. Previous studies developed soft classification algorithms for the SOM. This paper introduces the idea and proposes non-parametric measures for the fuzzy ARTMAP computational neural networks to handle spatial uncertainty in remotely sensed imager...

This contribution overviews the approaches results and history of attempts at measuring uncertainty and information in the various theories of imprecise prob abilities The main focus however is on the theory of belief functions or the Dempster Shafer theory and the possibility theory as most of the devel opment so far has happened there Due to the limited space I am focusing on the main ideas a...

The important criteria for designing in the most of hydrologic and hydraulic construction projects are based on runoff or peak-flow of water. Mostly, this measure and criterion is calculated or estimated by stochastic data. Another feature of these data that are used in watershed hydrological studies is their impreciseness. Therefore, in this study, in order to deal with uncertainty and impreci...

Plenty of researches have been carried out, focusing on the measures of distance, similarity, and correlation between intuitionistic fuzzy sets (IFSs).However, most of them are single-valued measures and lack of potential for efficiency validation.In this paper, a new vector valued similarity measure for IFSs is proposed based on OWA operators.The vector is defined as a two-tuple consisting of ...