This paper proposes a comparison between multidimensional and unidimensional poverty indicators. Sets of poor units identified by traditional head count ratio, fuzzy unidimensional and fuzzy multidimensional indices are compared by means of a rank correlation analysis. The robustness of the...

Classification is one of the methods used in identifying the accuracy of the dataset of multiple classes. This paper has proposed a method named FHSM ( Fuzzy Heterogeneous Node Splitting Measure ) for building decision tree which used Gaussian membership function in assigning fuzzy membership...

In many decision situations, decision-makers face a kind of complex problems. In these decision-making problems, different types of fuzzy numbers are defined and, have multiple types of membership functions. So, we need a standard form to formulate uncertain numbers in the problem. Shadowed...

The existing bunching approach identifies the extent of bunching from a sharp spike in the probability density function. In many finance settings, however, the sharp spike could be diffused by data noise. This paper introduces a new fuzzy bunching approach that is robust to noise. The key idea...

It is aimed to rank the service innovation issues of deposit banks in Turkey. In this context, 26 deposit banks of Turkey are analyzed by considering 16 different balanced scorecard-based criteria. Regarding the methodology, first of all, fuzzy ANP method is used to measure the significance of...

Neutrosophic models are used in the analysis of the socio-economic problems of HIV/AIDS infected women patients living in rural Tamil Nadu. Most of these women are uneducated and live in utter poverty. Till they became seriously ill they worked as daily wagers. When these women got admitted in...

Classical wealth management heavily relies on the linear and two-dimensional world of Modern Portfolio Theory. While this has generally worked for investors, many new investment offerings only inadequately map into the CW world. This inadequacy is a source of potentially large investor losses,...