In this paper, we present the uncertain probabilistic ordered weighted averaging distance (UPOWAD) operator. Its main advantage is that it uses distance measures in a unified framework between the probability and the OWA operator that considers the degree of importance of each concept in the aggregation. Moreover, it is able to deal with uncertain environments represented in the form of interva...

This paper is devoted to the determination of wellbalanced solutions in search problems involving multiple cost functions. After indicating various contexts in which the ordered weighted averaging operator (with decreasing weights) is natural to express the preferences between solutions, we propose a search algorithm to determine the OWA-optimal solution. More precisely, we show how to embed th...

According to the achievements of the research on affective recognition based on physiological signal and Gross emotion regulation theory, an affective regulation system was constructed, on the one hand it can monitor the user’s current affection in real time on the other hand it can regulate user’s negative affections by providing an optimal material. Meanwhile, an decision-making algorithm des...

The present research proposes a new method to analyze the sustainable development goals (SDGs) index using ordered weighted average (OWA) operators. To develop this method, five experts evaluated and designated relative importance of each 17 SDGs defined by United Nations (UN), with use OWA prioritized (POWA) operators, rankings were generated. With results, it is possible visualize that rankin...

The ordered weighted averaging (OWA) operator is one of the most used techniques in operator’s aggregation procedure. This paper proposes a new assignment algorithm by using OWA and different extensions it Branch-and-bound algorithm. process based on use average distance (OWAD) induced OWAD (IOWAD). We present as with (BBAOWAD) IOWAD (BBAIOWAD). main advantage this approach that we can obtain m...