An image segmentation technique based on fuzzy entropy is applied for MR brain images to detect a brain tumor is presented in this paper. The proposed method performs image segmentation based on adaptive thresholding of the input MR images. The image is classified into two membership functions, whose member functions of the fuzzy region are Z-function and S-function. The optimal parameters of t...

In this paper we study the relations among similarity measure, subsethood measure and fuzzy entropy and present several propositions that similarity measure, subsethood measure and fuzzy entropy can be transformed by each other based on their axiomatic definitions. Some new formulae to calculate similarity measure, subsethood measure and fuzzy entropy are proposed.

In this paper, we research the relationship between entropy and similarity of interval valued intuitionistic fuzzy sets in detail and prove eight theorems that entropy and similarity of interval valued intuitionistic fuzzy sets can be transformed to each other based on their axiomatic definitions. Finally, we propose some formulaes to calculate entropy and similarity of interval valued intuitio...

In this paper, a new interval-valued fuzzy multi-criteria group decision-making model is proposed to evaluate each of the energy plans with sustainable development criteria for proper energy plan selection. The purpose of this study is divided into two parts: first, it is aimed at determining the weights of evaluation criteria for sustainable energy planning and second at rating sustainable ene...

The use of fuzzy decision trees is yet to be ascertained for the biometric based personal authentications. This paper therefore presents a fuzzy binary decision tree (FBDT) algorithm for decision making on two classes: genuine and imposter using matching scores computed from the biometric databases. The proposed FBDT makes use of two criteria: fuzzy Gini index and fuzzy entropy for the selectio...

Utilizing renewable energies is one of the most important issues for economical and social significance in future human life. Choosing the best renewable energy among all other candidates is very important in this area. To address the issue, multi-criteria group decision making (MCGDM) methods with imprecise information could be employed to solve these problems. The aim of this paper is to prop...