Most group decision making (GDM) problems based on linguistic approaches use symmetrically and uniformly distributed linguistic term sets to express experts’ opinions. However, there exist problems whose assessments need to be represented by means of unbalanced linguistic term sets, i.e. using term sets that are not uniformly and symmetrically distributed. The aim of this paper is to present a ...

Though, in the literature, many heuristic approaches were developed in getting an initial solution, VAM (Vogel’s approximation method) is considered to be a better efficient heuristic approach since it often provides an optimal or near optimal solution to the transportation problem. In general, transportation problems involved in supply-chain management fields are unbalanced (total supply > tot...

This paper presents grid tied PV-STATCOM system using an adaptive Ɩ0-LMS based control algorithm. The proposed with zero attractor is used for single stage connected and it highlights the performance of maintaining unity power factor, reducing harmonics voltage regulation nonlinear unbalanced load. In this Ɩ0 norm constraint LMS algorithm, optimal value time varying instead a fixed such that gi...

Although a pilot national live-donor kidney exchange program was recently launched in the US, the kidney shortage is increasing faster than ever. A new solution paradigm is able to incorporate compatible pairs in exchange. In this paper, we consider an exchange framework that has both compatible and incompatible pairs, and patients are indifferent over compatible pairs. Only two-way exchanges a...

Latent nystagmus (LN) is the by-product of fusion maldevelopment in infancy. Because fusion maldevelopment--in the form of strabismus and amblyopia--is common, LN is a prevalent form of pathologic nystagmus encountered in clinical practice. It originates as an afferent visual pathway disorder. To unravel the mechanism for LN, we studied patients and nonhuman primates with maldeveloped fusion. T...

In this paper we apply several learning machine techniques to the problem of financial distress classification of medium-sized private companies. Financial data was obtained from Diana, a large database containing financial statements of French companies. Classification accuracy is evaluated with Artificial Neural Networks, Classification and Regression Tress (CART), TreeNet, Random Forests and...

Many important distribution network applications, such as load balancing, state-estimation, and network reconfiguration, depend on accurate phase connectivity information. The existing data-driven phase identification algorithms have a few drawbacks. First, the existing algorithms require the number of phase connections as an input. Second, they can not provide accurate results when there is a ...