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Insights and characterization of l1-norm based sparsity learning of a lexicographically encoded capacity vector for the Choquet integral
2015
2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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This impacts a number of fields such as multi-criteria decision making [7] , sensor fusion [7] , decisionmaking [7] and data mining [7] . ...
One of the extreme challenges of fusion is discovering functions to carry out aggregation and subsequently identifying ways to tailor these functions to different problems and application domains. ...
doi:10.1109/fuzz-ieee.2015.7337819
dblp:conf/fuzzIEEE/AdeyebaAH15
fatcat:qcpxxgbruzcgdafe4ow7uiwsle
Comprehensive Interval-Induced Weights Allocation with Bipolar Preference in Multi-Criteria Evaluation
2021
Mathematics
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With the obtained weight vector for criteria, we adopt the weighted ordered weighted averaging allocation on a convex poset to organically consider both two types of interval-inducing information and propose ...
This work considers the multi-criteria evaluation situation in which originally only the interval-valued absolute importance of each criterion is available. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/math9162002
fatcat:5grzsfqvibcmxb2wcvf5yrre6a
A Consensus Approach to the Sentiment Analysis Problem Driven by Support-Based IOWA Majority
2017
International Journal of Intelligent Systems
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The scenarios could be multiple, like a number of doctors finding commonality on the diagnose of an illness or parliament members looking for consensus on an specific law being passed. ...
The object of the aggregation will be the intensity of the previously determined sentence polarity in such a way that the results represents what the majority think. ...
Bordogna and Sterlacchini 4 address a multi-criteria group decision making process based on the soft fusion of coherent evaluations of spatial alternatives (GIS-Spatial Analysis). ...
doi:10.1002/int.21878
fatcat:bwnz3mmwejaibhyunozq2n3ppm
Multi-View Data approaches in Recommender Systems: an Overview
2017
Procedia Computer Science
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recommender systems, as well as the use of data science, learning techniques and aggregation processes to combine information stemming from multiple views. ...
recommender systems, as well as the use of data science, learning techniques and aggregation processes to combine information stemming from multiple views. ...
on Multi-View Data Fusion in RS This section provides a concise literature review of multi-view RS research, focused on integrating multi-view data approaches as part of the personalization and recommendation ...
doi:10.1016/j.procs.2017.11.157
fatcat:gkn5eo4jejd23cvubv6il6ekhq
A Study of OWA Operators Learned in Convolutional Neural Networks
2021
Applied Sciences
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As a side effect of this integration, the OWA layer becomes a practical method for the determination of OWA operator weights, which is usually a difficult task that complicates the integration of these ...
We also compare them to some families of OWA operators, namely the Binomial OWA operator, the Stancu OWA operator and the exponential RIM OWA operator, finding examples that are currently impossible to ...
Aggregation Functions and OWA Operators The main mathematical tool to deal with information fusion is the concept of aggregation function. Definition 1 (Aggregation function [1, 32] ). ...
doi:10.3390/app11167195
fatcat:n7ukcufphfb53arxcutvke4mca
Dynamic fuzzy OWA model for group multiple criteria decision making
2005
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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The Ordered Weighted Averaging (OWA) aggregation operators have been extensively adopted to assign the relative weights of numerous criteria. ...
However, previous aggregation operators (including OWA) are independent of aggregation situations. ...
Conclusion This study has proposed a dynamic fuzzy OWA model to deal with problems of group multiple criteria decision making. ...
doi:10.1007/s00500-005-0484-x
fatcat:zlbeouxmjvhqhgz4ipiqigwyle
An analytic approach for obtaining maximal entropy OWA operator weights
2001
Fuzzy sets and systems (Print)
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One of the first approaches, suggested by O'Hagan, determines a special class of OWA operators having maximal entropy of the OWA weights for a given level of orness; algorithmically it is based on the ...
One important issue in the theory of Ordered Weighted Averaging (OWA) operators is the determination of the associated weights. ...
If n ≥ 3 and 0 < α < 1 then We therefore formulate the multi-modal fusion as an information aggregation task in the framework of group decision making (GMD) problem. ...
doi:10.1016/s0165-0114(01)00007-0
fatcat:qsatkdtdzrblpbdho4iqncrify
Intuitionistic Linguistic Multiple Attribute Decision-making Based on Heronian Mean Method and Its Application to Evaluation of Scientific Research Capacity
2017
Eurasia Journal of Mathematics, Science and Technology Education
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The main focus of this paper is to investigate intuitionistic linguistic information fusion based on Heronian mean. ...
Furthermore, a method based on the proposed operators is developed to deal with multiple attribute group decision making (MAGDM) method problems. ...
. , }be the set of decision makers (whose weight vector is = ( 1 , 2 , . . . , ) , Based on the ILGWHM operator, an approach is given for multi-criteria decision making under intuitionistic linguistic ...
doi:10.12973/ejmste/77933
fatcat:x5fpkgztm5ettculfc5tmbrjxa
A multi-granular linguistic model for management decision-making in performance appraisal
2009
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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Additionally, the proposed model will manage the multi-granular linguistic labels provided by appraisers in order to compute collective assessments about the employees that will be used by the management ...
The performance appraisal is a relevant process to keep and improve the competitiveness of companies in nowadays. ...
Acknowledgments This paper has been partially supported by the research projects: TIN2006-02121, Spanish Ministerio de Educación y Ciencia (Project SEJ2006-04267), Junta de Castilla y León (Project VA092A08 ...
doi:10.1007/s00500-008-0387-8
fatcat:gaclm7dumzhlfkuacqo76732iu
Aggregation Functions Considering Criteria Interrelationships in Fuzzy Multi-Criteria Decision Making: State-of-the-Art
2019
Zenodo
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Aggregation function is an important component in an information aggregation or information fusion system. ...
Interrelationships usually exist between the input arguments (e.g., the criteria in the multicriteria decision making) of an aggregation function. ...
In this paper, we focus on the discussion of the mathematical AOs in a context of multi-criteria decision making (MCDM). ...
doi:10.5281/zenodo.3047021
fatcat:vy2mllhcazfpdnbpfrmy7yqw7i
The WOMBAT Attack Attribution Method: Some Results
[chapter]
2009
Lecture Notes in Computer Science
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We illustrate the method with some real-world results obtained when applying it to almost two years of attack traces collected by low interaction honeypots. ...
Four instances of misbehaving clouds are then described in some more depth to demonstrate the meaningfulness of the concept. ...
Then, the clique algorithm extracts one set of cliques per feature, which reveals the cohesions among µ-events regarding each F i .
Multi-Criteria Aggregation Definition (Aggregation function). ...
doi:10.1007/978-3-642-10772-6_3
fatcat:u27e5qzb6rgg5myavgxcnemyha
Interpreting drinking water quality in the distribution system using Dempster–Shafer theory of evidence
2005
Chemosphere
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The first application deals with the interpretation of spatial water quality data fusion, while the second application deals with the development of water quality index based on key monitored indicators ...
To simplify and improve the understanding and the interpretation of water quality, methodologies for aggregation and fusion of data must be developed. ...
focus on A. ...
doi:10.1016/j.chemosphere.2004.11.087
pmid:15722089
fatcat:hu6lktovajdjnfzkhnsfp3c3qy
A survey of type-2 fuzzy aggregation and application for multiple criteria decision making
2019
Journal of Data, Information and Management
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Type-2 fuzzy aggregation operators, contributing to the fundamental information fusion theory, have been paid more attention and applied to different areas during the last two decades. ...
Type-2 fuzzy sets (T2FSs) exhibit evident merits when it comes to representing the complex and high uncertainty, which has been encountered in fuzzy optimization and multiple criteria decision making ( ...
Compared with application of type-2 fuzzy multiple criteria decision making, the application range of type-2 fuzzy aggregation operations is somewhat narrow. ...
doi:10.1007/s42488-019-00002-1
fatcat:gyhdf5yfofb5bpeu6ahhpldu24
Alpha-Level Aggregation: A Practical Approach to Type-1 OWA Operation for Aggregating Uncertain Information with Applications to Breast Cancer Treatments
2011
IEEE Transactions on Knowledge and Data Engineering
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The Direct Approach to performing type-1 OWA operation involves high computational overhead. In this paper, we define a type-1 OWA operator based on the α-cuts of fuzzy sets. ...
(iii) the type-1 OWA operators demonstrate the ability to efficiently aggregate uncertain information with uncertain weights in solving real-world soft decision making problems. ...
However, the majority of the existing aggregation operators, including the OWA one, focus exclusively on aggregating crisp numbers. ...
doi:10.1109/tkde.2010.191
fatcat:nufoi7qx5bajjbwkalp3eju2cy
Approach for multi-attribute decision making based on Gini aggregation operator and its application to carbon supplier selection
2019
IEEE Access
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This paper provides a new multi-attributes decision making approach on the basis of the Gini OWA (G p,q -OWA) operator, in which the Gini operator is the combination of the Gini mean and the OWA operator ...
Desired properties and several generalized forms of the G p,q -OWA operator are investigated. ...
On the other hand, Eq. (6) is also increasing with respect to b j . With the monotonicity of Eqs. (5) and (6) , we get that the G p,q -OWA operator is an increasing function. ...
doi:10.1109/access.2019.2933538
fatcat:jmyd4tyt65fk7phc7a2hfbqrxa
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