Background: Attention is turning toward increasing the quality of websites and quality
evaluation to attract new users and retain existing users. Objective: This sco** study …

The Internet has become an unlimited resource of knowledge, and is thus widely used in
many applications. Web mining plays an important role in discovering such knowledge. This …

Recommender systems could be used to help users in their access processes to relevant
information. Hybrid recommender systems represent a promising solution for multiple …

Background: Health apps for the screening and diagnosis of mental disorders have
emerged in recent years on various levels (eg, patients, practitioners, and public health …

Nowadays Digital Libraries 2.0 are mainly based on the interaction between users through
collaborative applications such as wikis, blogs, etc. or new possible paradigms like the …

Sometimes, we find decision situations in which it is difficult to express some preferences by
means of concrete preference degrees. In this paper, we present a consensus model for …

Purpose–The purpose of this paper is to develop some 2-tuple linguistic aggregation
operators based on Muirhead mean (MM), which is combined with multiple attribute group …

This paper deals with multiattribute group decision making (MAGDM) problems with interval-
valued 2-tuple linguistic information. First, we introduce some new aggregation operators …

To improve today's complex systems composed of personnel, hardware, software and
methods, it is necessary to identify, prioritize and select projects to eliminate the causes of …

In this paper, we investigate the multiple attribute decision making (MADM) problems with 2-
tuple linguistic information. Motivated by the ideal of Bonferroni mean and geometric …