Time Series Data Fusion Based on Evidence Theory and OWA Operator [PDF]
Sensors, 2019 Time series data fusion is important in real applications such as target recognition based on sensors’ information. The existing credibility decay model (CDM) is not efficient in the situation when the time interval between data from sensors is too
Gang Liu, Fuyuan Xiao
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Evidence conflict measure based on OWA operator in open world. [PDF]
PLoS ONE, 2017 Dempster-Shafer evidence theory has been extensively used in many information fusion systems since it was proposed by Dempster and extended by Shafer.
Wen Jiang +4 more
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A fuzzy parametric model for decision making involving F-OWA operator with unknown weights environment [PDF]
Heliyon, 2023 Weight determining of attributes is an important factor in decision support systems since it corresponds to the relative importance of each criteria which is necessary to be determined since all the attributes aren't equally important.
Muhammad Touqeer +5 more
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A goal-based weighting for composite indicators constructed through Ordered Weighted Averaging (OWA) operator [PDF]
MethodsXThe Ordered Weighted Averaging (OWA) operator is a multicriteria method that has conquered space among researchers in the composite indicators field. Typically, OWA operator weights are defined by the decision maker.
Matheus Pereira Libório +3 more
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Symmetric weights for OWA operators prioritizing intermediate values. The EVR-OWA operator
Information Sciences, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
García-Zamora, Diego +3 more
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WORD SENSE DISAMBIGUATION METHOD USING SEMANTIC SIMILARITY MEASURES AND OWA OPERATOR [PDF]
ICTACT Journal on Soft Computing, 2015 Query expansion (QE) is the process of reformulating a query to improve retrieval performance. Most of the times user's query contains ambiguous terms which adds relevant as well as irrelevant terms to the query after applying current query expansion ...
Kanika Mittal, Amita Jain
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Orness For Idempotent Aggregation Functions [PDF]
Axioms, 2017 Aggregation functions are mathematical operators that merge given data in order to obtain a global value that preserves the information given by the data as much as possible.
Leire Legarreta +2 more
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Axiomatic generalizations of OWA operators [PDF]
Advances in Intelligent Systems Research, 2015 Axiomatic generalizations of OWA operators are introduces and discussed. First, OMA operators based on comonotone modularity are recalled. Then, several kinds of comonotone pseudoadditivity based OWA generalizations are characterized and exemplified. Some of already known OWA generalizations are thus seen from new points of view.
Andrea Stupnanová +2 more
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Owa Operators In Generalized Distances
, 2009 Different types of aggregation operators such as the ordered weighted quasi-arithmetic mean (Quasi-OWA) operator and the normalized Hamming distance are studied. We introduce the use of the OWA operator in generalized distances such as the quasiarithmetic distance.
Gil Lafuente, Anna Maria +1 more
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New view of fuzzy aggregations. part I: general information structure for decision-making models [PDF]
Journal of Fuzzy Extension and Applications, 2021 The Ordered Weighted Averaging (OWA) operator was introduced by Yager [57] to provide a method for aggregating inputs that lie between the max and min operators.
Gia Sirbiladze
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