Single valued neutrosophic hesitant fuzzy set has three independent parts, namely the truth membership hesitancy function, indeterminacy membership hesitancy function, and falsity membership hesitancy function, which are in the form of sets that assume values in the unit interval [0, 1]. Single valued neutrosophic hesitant fuzzy set is considered as a powerful tool to express uncertain, incompl...

The article presents an approach to the development of multi-attribute decision making model that is based on DEX, an expert system shell for multi-attribute decision support. We demonstrate the applicability and flexibility of the approach presenting application of DEX in e-learning: assessment and evaluation of Learning Management Systems (LMS) where several conflicting objectives, like envir...

We describe a new access method, the hB”-tree, an adaptation of the hB-tree index to the constraints of the II-tree . The II-trees, a generalization of the Blink-trees, provide high concurrency with recovery, because they break down structure modification into a series of short atomic actions. In addition, the IItrees include a node consolidation algorithm. The hB-tree is, a multi-attribute ind...

The concept of a single valued neutrosophic number (SVN-number) is of importance for quantifying an ill-known quantity and the ranking of SVN-numbers is a very difficult problem in multi-attribute decision making problems. The aim of this paper is to present a methodology for solving multi-attribute decision making problems with SVN-numbers. Therefore, we firstly defined the concepts of cut set...

Multi-attribute analysis is a useful tool in many economical, managerial, constructional, etc. problems. The accuracy of performance measures in COPRAS (The multi-attribute COmplex PRoportional ASsessment of alternatives) method is usually assumed to be accurate. This method assumes direct and proportional dependence of the weight and utility degree of investigated versions on a system of attri...

Multi-attribute auctions (also called multidimensional auctions) facilitate negotiations based on multiple attributes, thus escape from the standard price-only domain into a rich multidimensional domain that can comprise additional attributes like e.g. guarantee conditions or quality. Most multi-attribute preference models used in auction mechanisms are based on a ranking derived from weighted ...

Reverse auctions and negotiations are two common procurement mechanisms. The drawback of many auctions is their sole focus on price. The drawback of negotiations is that they are sequential, slow and costly. Internet enables multi-attribute auctions and multi-bilateral multi-attribute negotiations efficiently. In both processes concession-making plays a key role. The paper presents typology of ...

A common assumption in many machine learning techniques is that the data points are independent and identically distributed (i.i.d.). However, often data can be divided into subgroups of data points that are related in some way, and this violates the assumption that they are identically distributed. Such subgroups are commonly referred to as domains or subpopulations. Domain information can be ...