The weighted ordered weighted averaging(WOWA) operator introduced by Torra is an important aggregation technique, which includes the famous weighted averaging(WA) operator and the ordered weighted averaging(OWA) operator as special cases. In this paper, we introduce a new hesitant fuzzy decision making technique called the hesitant fuzzy weighted OWA(HFWOWA) operator. It is an extension of the ...

We study the problem of decision making with Dempster-Shafer belief structure. We analyze the previous work developed by Yager about using the ordered weighted averaging (OWA) operator in the aggregation of the Dempster-Shafer decision process. We discuss the possibility of aggregating with an ascending order in the OWA operator for the cases where the smallest value is the best result. We sugg...

In the literature of poverty, it is well known that every poverty index should be sensitive to the incidence of poverty, the intensity of poverty and to the inequality among the poo individuals. However, the inequality among the poor could be measured analyzing either the income of the poor distribution, or the gap of the poor distribution. Depending on the side we focus on, contradictory resul...

This article introduces the uncertain ordered weighted averaging adequacy coefficient (UOWAAC) operator. novel operator uses (OWA) operator, coefficient, and interval numbers in a single formulation. also extends UOWAAC by using order-inducing variables reordering process of input arguments. new extension is called induced (UIOWAAC) The presents an application approach multi-criteria group deci...

The ordered weighted averaging (OWA) operator uses the weights assigned to the ordered values rather than to the specific criteria. This allows one to model various aggregation preferences, preserving simultaneously the impartiality (neutrality) with respect to the individual attributes. The determination of ordered weighted averaging (OWA) operator weights is a crucial issue of applying the OW...

Customer segmentation involves an identification of distinct customer groups. Traditionally, customers were segmented by some criteria such as location, type of business, and customer value. In this paper we determine a methodology for identifying appropriate customer segments by using customer satisfaction-demanding behavior that is characterized by the disparity of derived global satisfaction...

This paper concerns with rank-dependent poverty measures and shows that an ordered weighted averaging, hereafter OWA, operator is underlying in the definition of these indices. The dual decomposition of an OWA operator into the self-dual core and the anti-self-dual remainder allows us to propose a decomposition for all the rank-dependent poverty measures in terms of incidence, intensity and ine...

This paper presents an efficient fuzzy neural system which consists of modular neural networks combined by the fuzzy integral with ordered weighted averaging (OWA) operators. The ability of the fuzzy integral to combine the results of multiple sources of information has been established in seL'eral preL'ious works. The key point of this paper is to formalize modular neural networks as informati...

The problem of aggregating multiple numerical criteria to form overall objective functions is of considerable importance in many disciplines. The ordered weighted averaging (OWA) aggregation, introduced by Yager, uses the weights assigned to the ordered values rather than to the specific criteria. This allows one to model various aggregation preferences, preserving simultaneously the impartiali...