The objective of this paper is to rank the competitiveness of tourist destinations based on different aggregation operators, specifically, the ordered weighted average (OWA) operator and the simple additive weighting (SAW) method.
Martín Huesca-Gastélum +1 more
semanticscholar +1 more source
A New Minkowski Distance Based on Induced Aggregation Operators [PDF]
The Minkowski distance is a distance measure that generalizes a wide range of distances such as the Hamming and the Euclidean distance. In this paper, we develop a generalization of the Minkowski distance by using the induced ordered weighted averaging ...
José Merigo, Montserrat Casanovas
doaj +1 more source
New view of fuzzy aggregations. Part III: extensions of the FPOWA operator in the problem of political management [PDF]
The Ordered Weighted Averaging (OWA) operator was introduced by Yager [34] to provide a method for aggregating inputs that lie between the max and min operators.
Gia Sirbiladze
doaj +1 more source
Interval numbers BONr,q‐OWA operator and its application to multiattribute decision‐making
Interval numbers multiple attribute decision‐making (MADM) is an important branch of uncertainty decision theory, and the decision result largely depends on the selection of the aggregation operator. In this paper, we analyze the ordered weighted average
Shijing Zeng +3 more
semanticscholar +1 more source
Competitive behavior induced OWA operator and the weighting method
In view of the decision‐making problem that the alternatives actively participate in the decision‐making process and present competitive behavior, this paper proposes a new type of aggregation operator called the competitive behavior induced ordered ...
Weiwei Li, Pingtao Yi, Lingyu Li
semanticscholar +1 more source
Fuzzy Branch-and-Bound Algorithm with OWA Operators in the Case of Consumer Decision Making
The ordered weighted averaging (OWA) operator is one of the most used techniques in the operator’s aggregation procedure. This paper proposes a new assignment algorithm by using the OWA operator and different extensions of it in the Branch-and-bound ...
Emili Vizuete-Luciano +4 more
doaj +1 more source
Rough-Fuzzy Support Vector Clustering with OWA Operators
Rough-Fuzzy Support Vector Clustering (RFSVC) is a novel soft computing derivative of the classical Support Vector Clustering (SVC) algorithm, which has been used already in many real-world applications.
Ramiro Saltos Atiencia, Richard Weber
doaj +1 more source
Determine OWA operator weights using kernel density estimation
Some subjective methods should divide input values into local clusters before determining the ordered weighted averaging (OWA) operator weights based on the data distribution characteristics of input values.
Mingwei Lin +3 more
semanticscholar +1 more source
Research on BIM information evaluation of dynamic sustainable green construction of urban deep foundation pit [PDF]
The existing green construction evaluation lacks dynamic nature. Based on the characteristics of urban deep foundation pit construction, PDCA cycle theory gives the dynamic evaluation index weight based on OWA operator, and establishes a dynamic ...
Tang Hong +4 more
doaj +1 more source
Single machine scheduling problems with uncertain parameters and the OWA criterion [PDF]
In this paper a class of single machine scheduling problems is discussed. It is assumed that job parameters, such as processing times, due dates, or weights are uncertain and their values are specified in the form of a discrete scenario set.
Kasperski, Adam, Zielinski, Pawel
core +2 more sources

