Ž . In this article we compare two contrasting methods, active set method ASM and genetic algorithms, for learning the weights in aggregation operators, such as weighted mean Ž . Ž . WM , ordered weighted average OWA , and weighted ordered weighted average Ž . WOWA . We give the formal definitions for each of the aggregation operators, explain the two learning methods, give results of processin...

In this article, we introduce the induced ordered weighted geometric (IOWG) operator and its properties. This is a more general type of OWG operator, which is based on the induced ordered weighted averaging (IOWA) operator. We provide some IOWG operators to aggregate multiplicative preference relations in group decision-making (GDM) problems. In particular, we present the importance IOWG (I-IOW...

In this paper, an anomaly detection method in cluster-based mobile ad hoc networks with ad hoc on demand distance vector (AODV) routing protocol is proposed. In the method, the required features for describing the normal behavior of AODV are defined via step by step analysis of AODV and independent of any attack. In order to learn the normal behavior of AODV, a fuzzy averaging method is used fo...

In this paper we introduce a new fuzzy decision making model that unifies induced aggregation operators and distance measures in the same formulation. We develop the fuzzy induced generalized ordered weighted averaging distance (FIGOWAD) operator. The main advantage of this operator is that it provides a parameterized family of aggregation operators between the minimum and the maximum and a wid...

Artificial intelligence (AI) is a well-known and reliable technology that enables machine to simulate human behavior. While the major theme of AI make smart computer system thinks like solve awkward problems, learning allows automatically learn from past information without need for explicit programming. In this analysis, we aim derive idea Aczel–Alsina aggregation operators based on an intuiti...

Ordered Weighted Averaging (OWA) operators have been integrated in Convolutional Neural Networks (CNNs) for image classification through the OWA layer. This layer lets CNN integrate global information about early stages, where most architectures only allow exploitation of local information. As a side effect this integration, becomes practical method determination operator weights, which is usua...

We propose a new class of aggregation operator based on utility function and apply them to group decision-making problem. First of all, based on an optimal deviation model, a new operator called the interval generalized ordered weighted utility multiple averaging (IGOWUMA) operator is proposed, it incorporates the risk attitude of decision-makers (DMs) in the aggregation process. Some desirable...