In order to avoid the usual binary definition of poverty, a fuzzy set approach to poverty measurement has been used. The poor are typically analyzed by partitioning the total population in three mutually exclusive groups around the poverty line. This builds on fuzzy sets theory whereby the definition of the threshold of who is poor or non-poor, is fuzzy. This paper presents a method that consis...

Different models for computing the spatial relations have been developed in the last decade. Separate methods are used for computing topological, directional and distance relations. These models have also been extended in fuzzy domains based on fuzzy or vague objects and less attention has been paid to fuzzy relations. In this paper 8 fuzzy topological relations are computed with the help of 1D...

Poor information means incomplete and insufficient information, such as unknown probability distributions and trends. In this case, many statistical methods may become ineffective. So a fusion method based on the information poor theory is proposed. The fusion method contains five methods, three concepts, and one rule. The five methods include the rolling mean method, the membership function me...

Breast cancer is the second leading cause for death among women and it is diagnosed with the help of mammograms. Oncologists are miserably failed in identifying the micro calcification at the early stage with the help of the mammogram visually. In order to improve the performance of the breast cancer screening, most of the researchers have proposed Computer Aided Diagnosis using image processin...

In this study, the aim is to propose a new method for fuzzification of nested dummy variables. The fuzzification idea of dummy variables has been acquired from non-linear part of regime switching models in econometrics. In these models, the concept of transfer functions is like the notion of fuzzy membership functions, but no principle or linguistic sentence have been used for inputs. Consequen...