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...

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...

This paper explores the application of ordered weighted averaging (OWA) operators to develop water quality index, which incorporates an attitudinal dimension in the aggregation process. The major thrust behind selecting the OWA operator for aggregation of multi-criteria decision-making is its capability to encompass a range of operators bounded between minimum and maximum. A new approach for ge...

We present a new probabilistic decision making model by using the 2-tuple linguistic representation approach. We introduce the 2tuple linguistic probabilistic ordered weighted averaging (2T-LPOWA) operator. We study some of its particular cases including the 2-tuple linguistic probabilistic aggregation and the 2tuple linguistic arithmetic OWA operator. We show an application of the new approach...

In this paper, we propose a novel approach, based on entropy and similarity measure of intuitionistic fuzzy sets, to determine weights of the IFOWA operator. Then we define a new intuitionistic fuzzy dependent OWA (IFDOWA) operator which is applied to handling multi-attribute group decision making problem with intuitionistic fuzzy information. Finally, an example is given to demonstrate the rat...

Distance measures in ordered weighted averaging (OWA) operators allow the modelling of complex decision making problems where a set ideal values or characteristics are required to be met. The objective this paper is introduce extended distance and logarithmic OWA-based especially designed for analysis financial investment options. Based on immediate weights, Bonferroni means operators, we weigh...