An approach to analyzing human walking states based on multiviewing-angle was proposed in this paper. Firstly, the moving person was detected using self-adaptive background updating algorithm. Then, the moving period of the centroid in the upper part of the human body was extracted by 4direction chain code and the next motion of person was predicted. Finally, fuzzy set of walking states was obt...

A new deployment of the multiple criteria decision making (MCDM) techniques: the Simple Additive Weighting (SAW), and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for portfolio allocation, is demonstrated in this paper. Rather than exclusive reference to mean and variance as in the traditional mean-variance method, the criteria used in this demonstration are the f...

The increase in covid-19 positive patients is unpredictable which results being unprepared dealing with Covid-19 cases. People monitoring and under supervision are the category that breastfeed to be after passing incubation period for 14 days. Artificial intelligence used predict cases of fuzzy logic. logic method this study mamdani method. enter variables ODP, PDP, 3 sets low, medium, high res...

The purpose of cluster analysis is to partition a data set into a number of disjoint groups or clusters. Members within a cluster are more similar to each other than to members from different clusters. Applicability of the centroid-based k-means and representative object-based fuzzy c-means algorithms for study of the Magnetic Resonance Images is analysed in the work. The two algorithms are imp...

A new deployment of the multiple criteria decision making (MCDM) techniques: the Simple Additive Weighting (SAW), and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for portfolio allocation, is demonstrated in this paper. Rather than exclusive reference to mean and variance as in the traditional mean-variance method, the criteria used in this demonstration are the f...

many ranking methods have been proposed so far. however, there is yet no method that can always give a satisfactory solution to every situation; some are counterintuitive, not discriminating; some use only the local information of fuzzy values; some produce different ranking for the same situation. for overcoming the above problems, we propose a new method for ranking fuzzy quantities based on ...