Model averaging has a rich history dating from its use for combining forecasts time-series models (Bates and Granger) presents compelling alternative to model selection methods. We propose frequentist procedure defined over categorical regression splines (Ma, Racine, Yang) that allows mixed-data predictors, as well nonnested heteroscedastic candidate models. demonstrate the asymptotic optimalit...

Neutrosophic number (NN) is a useful tool which is used to overcome the difficulty of describing indeterminate evaluation information. The purpose of the study is to propose some power aggregation operators based on neutrosophic number which are used to deal with multiple attributes group decision making problems more effectively. Firstly, the basic concepts and the operational rules and the ch...

A new method is proposed to solve the multiple attribute decision making (MADM) problems with the trapezoid fuzzy linguistic variables ( Vs TFL ) based on the trapezoid fuzzy linguistic hybrid harmonic averaging (TFLHHA ) operator. To begin with, this paper reviews the concept and operational rules of the Vs TFL , the calculation method of the possibility degree with Vs TFL , and the comparison...

The Reference Point Method (RPM) is an interactive technique formalizing the so-called quasi-satisficing approach to multiple criteria optimization. The DM’s preferences are there specified in terms of reference (target) levels for several criteria. The reference levels are further used to build the scalarizing achievement function which generates an efficient solution when optimized. Typical R...

We investigate the aggregation phase of multicriteria decision making procedures. Characterizations of some classes of nonconventional aggregation operators are established. The first class consists of the ordered weighted averaging operators (OWA) introduced by Yager. The second class corresponds to the weighted maximum defined by Dubois and Prade. The dual class (weighted minimum) and some or...

The Minkowski distance is a distance measure that generalizes a wide range of other distances such as the Hamming and the Euclidean distance. In this paper, we develop a generalization of the Minkowski distance by using the induced ordered weighted averaging (IOWA) operator. We will call it the induced Minkowski OWA distance (IMOWAD). Then, we are able to obtain a wider range of distance measur...

Here we seek to understand the similarities and differences between two speech recognition approaches, namely the HMM/ANN hybrid and the posterior-based segmental model. Both these techniques create local posterior probability estimates and combine these estimates into global posteriors – but they are built on somewhat different concepts and mathematical derivations. The HMM/ANN hybrid combines...

A large number of methods in the edge detection literature are only prepared to deal with monochannel images, which represent the value at each pixel by means of scalar values. This fact hinders their applicability to many fields in which multichannel are common, including remote sensing or medical imagery. Very often, multichannel images have to be turned into grayscale images on which edge de...

It has a wide attention about the methods for determining OWA operator weights. At the beginning of this dissertation, we provide a briefly overview of the main approaches for obtaining the OWA weights with a predefined degree of orness. Along this line, we nextmake an important generalization of these approaches as a special case of the well-known andmore general problem of calculation of the ...