the assessment of de-desertification alternatives can be effective in controlling the reclamation of disturbed landand avoiding destruction of areas at risk. until now, there has been no method to consider different criteria andalternatives, or to present the optimum alternatives based on systematic structures and experts’ perspectives.desertification is a complex process resulting from various...

In general, the similarity measure is indispensable for most traditional spectral clustering algorithms since these algorithms typically begin with the pairwise similarity matrix of a given dataset. However, a general type of input for most clustering applications is the pairwise distance matrix. In this paper, we propose a distance-based spectral clustering method which makes no assumption on ...

There are many priority deriving methods for pairwise comparison matrices. It is known that when these matrices consistent all result in the same vector. However, they inconsistent, results may vary. The presented work formulates an estimation of difference between vectors two most popular ranking methods: eigenvalue method and geometric mean method. provided refers to inconsistency matrix. The...