Webzeroes and ordered values. These two classes correspond to the weighted ordered averaging operator (OWA) introduced by Yager in 1988. It is also shown that the OWA aggregator can be expressed as a Choquet integral. Keywords : aggregation functions; interval scale; invariance; ordered weighted ave-raging operator. 1 Introduction WebOrdered Weighted Average Operator; Standard Generalize Markup Language; These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves. ... Yager RR, Filev DP (1999) Induced ordered weighted averaging operators. IEEE Transactions on Systems, …
(PDF) Ordered Weighted Average Operators in the SERVQUAL and …
In applied mathematics – specifically in fuzzy logic – the ordered weighted averaging (OWA) operators provide a parameterized class of mean type aggregation operators. They were introduced by Ronald R. Yager. Many notable mean operators such as the max, arithmetic average, median and min, are members of this … See more Formally an OWA operator of dimension $${\displaystyle \ n}$$ is a mapping $${\displaystyle F:R_{n}\rightarrow R}$$ that has an associated collection of weights $${\displaystyle \ W=[w_{1},\ldots ,w_{n}]}$$ lying … See more Two features have been used to characterize the OWA operators. The first is the attitudinal character(orness). This is defined as See more The above Yager's OWA operators are used to aggregate the crisp values. Can we aggregate fuzzy sets in the OWA mechanism ? The Type-1 OWA operators have been proposed … See more WebJan 1, 1993 · Our purpose in this paper is to introduce a new family of operators called ordered weighted averaging (OWA) operators that provide an aggregation which lies in … dwn conference 2023
The Ordered Weighted Averaging Operators - Springer
WebResearch description. a) Application of quantitative methods of sustainability in Supply Chains and investigate Green products. b) The application of ordered weighted average … WebMay 21, 2024 · This article takes advantage of advancements in two different fields in order to produce a novel decision-making framework. First, we contribute to the theory of aggregation operators, which are mappings that combine large amounts of data into more advantageous forms. They are extensively used in different settings from classical to … crystal life planning