Academic literature on the topic 'Aggregation Operator'

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Journal articles on the topic "Aggregation Operator"

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XU, Z. S. "CORRELATED LINGUISTIC INFORMATION AGGREGATION." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 17, no. 05 (2009): 633–47. http://dx.doi.org/10.1142/s0218488509006182.

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Linguistic information aggregation has received great attention from researchers, and a variety of operators have been developed for aggregating linguistic information. All the existing linguistic information aggregation operators only consider the situations where all the aggregated linguistic arguments are independent, i.e., they only consider the addition of the importance of individual linguistic arguments, however, in some actual situations, the considered linguistic arguments may be correlative. In this paper, we focus on this issue. Motivated by the idea of the well-known Choquet integr
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YAGER, RONALD R. "CHOQUET AGGREGATION USING ORDER INDUCING VARIABLES." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12, no. 01 (2004): 69–88. http://dx.doi.org/10.1142/s0218488504002667.

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We discuss the OWA and Choquet integral aggregation operators and point out the central role the ordering operation plays in these operators. We extend the capabilities of the Choquet integral aggregation by allowing the ordering to be induced by some values other then those being aggregated. This allows us to consider an induced Choquet Choquet integral aggregation operator. We look at the properties of this operator. We then look at its applications. Among the applications considered are aggregations guided by linguistic and other ordinal structures. We look at the use of induced aggregation
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Liu, Peide, Qaisar Khan, Tahir Mahmood, Rashid Ali Khan, and Hidayat Ullah Khan. "Some improved pythagorean fuzzy Dombi power aggregation operators with application in multiple-attribute decision making." Journal of Intelligent & Fuzzy Systems 40, no. 5 (2021): 9237–57. http://dx.doi.org/10.3233/jifs-201723.

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Pythagorean fuzzy set (PyFS) is an extension of various fuzzy concepts, such as fuzzy set (FS), intuitionistic FS, and it is enhanced mathematical gizmo to pact with uncertain and vague information. In this article, some drawbacks in the Dombi operational rules for Pythagorean fuzzy numbers (PyFNs) are examined and some improved Dombi operational laws for PyFNs are developed. We also find out that the value aggregated using the existing Dombi aggregation operators (DAOs) is not a PyFN. Furthermore, we developed two new aggregations, improved existing aggregation operators (AOs) for aggregating
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Wang, Weize, and Xinwang Liu. "SOME HESITANT FUZZY GEOMETRIC OPERATORS AND THEIR APPLICATION TO MULTIPLE ATTRIBUTE GROUP DECISION MAKING." Technological and Economic Development of Economy 20, no. 3 (2014): 371–90. http://dx.doi.org/10.3846/20294913.2013.877094.

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Hesitant fuzzy set (HFS), a generalization of fuzzy set (FS), permits the membership degree of an element of a set to be represented as several possible values between 0 and 1. In this paper, motivated by the extension principle of HFs, we export Einstein operations on FSs to HFs, and develop some new aggregation operators, such as the hesitant fuzzy Einstein weighted geometric operator, hesitant fuzzy Einstein ordered weighted geometric operator, and hesitant fuzzy Einstein hybrid weighted geometric operator, for aggregating hesitant fuzzy elements. In addition, we discuss the correlations be
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Robinson, P. John, and P. Wilson Arul Prakash. "Application of Improved Class of Weighted Averaging Operators in Intuitionistic Fuzzy Ann Guided MAGDM E-Commerce Problems." Indian Journal Of Science And Technology 17, no. 29 (2024): 3026–36. http://dx.doi.org/10.17485/ijst/v17i29.1872.

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Objectives: To propose a novel and improvised Artificial Neural Network (ANN) technique to solve Multiple Attribute Group Decision Making (MAGDM) problems and an improved class of Aggregation operators for combining Intuitionistic Fuzzy Set (IFS) matrices for the ANN algorithm. Methods: A novel class of improved aggregation operators namely the Improved Intuitionistic Fuzzy Weighted Arithmetic Averaging (IM-IFWAA) operator and the Improved Intuitionistic Fuzzy Ordered Weighted Averaging (IM-IFOWA) operator are proposed in this work. The proposed improved class of aggregation operators will agg
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Khameneh, Azadeh, and Adem Kiliçman. "m-Polar Fuzzy Soft Weighted Aggregation Operators and Their Applications in Group Decision-Making." Symmetry 10, no. 11 (2018): 636. http://dx.doi.org/10.3390/sym10110636.

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Aggregation operators are important tools for solving multi-attribute group decision-making (MAGDM) problems. The main challenging issue for aggregating data in a MAGDM problem is how to develop a symmetric aggregation operator expressing the decision makers’ behavior. In the literature, there are some methods dealing with this difficulty; however, they lack an effective approach for multi-polar inputs. In this study, a new aggregation operator for m-polar fuzzy soft sets (M-pFSMWM) reflecting different agreement scenarios within a group is presented to proceed MAGDM problems in which both att
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Verma, Rajkumar, and Bhudev Sharma. "Prioritized Information Fusion Method for Triangular Fuzzy Information and Its Application to Multiple Attribute Decision Making." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 24, no. 02 (2016): 265–89. http://dx.doi.org/10.1142/s0218488516500136.

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This study investigates the multiple attribute decision making under triangular fuzzy environment in which the attributes and experts are in different priority level. By combining the idea of quasi arithmetic mean and prioritized weighted average (PWA) operator, we first propose two new prioritized aggregation operators called quasi fuzzy prioritized weighted average (QFPWA) operator and the quasi fuzzy prioritized weighted ordered weighted average (QFPWOWA) operator for aggregating triangular fuzzy information. The properties of the new aggregation operators are studied in detail and their sp
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SAMINGER, SUSANNE, RADKO MESIAR, and ULRICH BODENHOFER. "DOMINATION OF AGGREGATION OPERATORS AND PRESERVATION OF TRANSITIVITY." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10, supp01 (2002): 11–35. http://dx.doi.org/10.1142/s0218488502001806.

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Aggregation processes are fundamental in any discipline where the fusion of information is of vital interest. For aggregating binary fuzzy relations such as equivalence relations or fuzzy orderings, the question arises which aggregation operators preserve specific properties of the underlying relations, e.g. T-transitivity. It will be shown that preservation of T-transitivity is closely related to the domination of the applied aggregation operator over the corresponding t-norm T. Furthermore, basic properties for dominating aggregation operators, not only in the case of dominating some t-norm
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Wei, Guiwu. "Uncertain Hamacher Aggregation Operators and Their Application to Multiple Attribute Decision Making." International Journal of Decision Support System Technology 10, no. 2 (2018): 40–64. http://dx.doi.org/10.4018/ijdsst.2018040103.

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This article utilizes Hamacher operations to develop some uncertain aggregation operators: uncertain Hamacher weighted average (UHWA) operator, uncertain Hamacher weighted geometric (UHWG) operator, uncertain Hamacher ordered weighted average (UHOWA) operator, uncertain Hamacher ordered weighted geometric (UHOWG) operator, uncertain Hamacher hybrid average (UHHA) operator, uncertain Hamacher hybrid geometric (UHHG) operator and some uncertain Hamacher correlate aggregation operators and uncertain induced Hamacher aggregation operators. The prominent characteristics of these proposed operators
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P, John Robinson, and Wilson Arul Prakash P. "Application of Improved Class of Weighted Averaging Operators in Intuitionistic Fuzzy Ann Guided MAGDM E-Commerce Problems." Indian Journal of Science and Technology 17, no. 29 (2024): 3026–36. https://doi.org/10.17485/IJST/v17i29.1872.

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Abstract <strong>Objectives:</strong>&nbsp;To propose a novel and improvised Artificial Neural Network (ANN) technique to solve Multiple Attribute Group Decision Making (MAGDM) problems and an improved class of Aggregation operators for combining Intuitionistic Fuzzy Set (IFS) matrices for the ANN algorithm.&nbsp;<strong>Methods:</strong>&nbsp;A novel class of improved aggregation operators namely the Improved Intuitionistic Fuzzy Weighted Arithmetic Averaging (IM-IFWAA) operator and the Improved Intuitionistic Fuzzy Ordered Weighted Averaging (IM-IFOWA) operator are proposed in this work. The
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Dissertations / Theses on the topic "Aggregation Operator"

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Dragan, Jočić. "Distributivnost operacija agregacije i njihova primena u teoriji korisnosti." Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 2015. https://www.cris.uns.ac.rs/record.jsf?recordId=92850&source=NDLTD&language=en.

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Disertacija je posvećena re&scaron;avanju jednačina distributivnosti gde&nbsp;nepoznate funkcije pripadaju nekim poznatim klasama operacija agregacije&nbsp;i primeni dobijenih re&scaron;enja u teoriji korisnosti. Dobijeni rezultati se generalno mogu podeliti u tri grupe. Prvu grupu čine rezultati iz Glave 2 dobijeni re&scaron;avanjem jednačina distributivnosti između GM-operacija agregacije i&nbsp;oslabljenih uninormi, GM-operacija agregacije i oslabljenih nulanormi, kao i&nbsp;GM-operacija agregacije i operacija agregacije bez neutralnog i absorbujućeg&nbsp;elementa. Druga grupa rezultata, ta
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Corretja, Vincent. "Apport de l’analyse temps-fréquence combinée à l’analyse de formes pour le traitement ISAR." Thesis, Bordeaux 1, 2013. http://www.theses.fr/2013BOR14753.

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Dans le cadre de la surveillance maritime, les opérationnels ont de plus en plus recours à l'imagerie radar pour classifier à grande distance un objet marin. Le traitement ISAR (Inverse Synthetic Aperture Radar) répond à ce besoin. Il repose en particulier sur l'analyse des mouvements propres de l'objet marin. Une fois l'objet détecté, il s'agit d'afficher sur la console tactique la représentation de la fréquence Doppler en fonction de la distance, aussi appelée image range-Doppler. Le travail présenté dans ce mémoire s'inscrit dans une perspective d'évolution opérationnelle de la chaîne de tr
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Al-Zaidan, Amina S. "Mathematical modeling of marine environment contamination using fuzzy set theory." Thesis, Bangor University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248901.

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Yusoff, Binyamin. "Decision Analysis, Uncertainty Theories and Aggregation Operators in Financial Selection Problems." Doctoral thesis, Universitat de Barcelona, 2017. http://hdl.handle.net/10803/403402.

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The complexity of financial analysis, particularly on selection process or decision making problems, has increased rapidly over several decades. As a result, much attention has been focused on developing and implementing the efficient mathematical models for supporting this kind of problems. Multiple criteria decision analysis, an advanced field of operations research provides analysts or decision makers a broad range of methodologies, which are all suited to the complexity of financial decision analysis. In the financial modeling, uncertainty problems are inevitable, owing to the fact that th
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Garcia, Hilares Nilton Alan. "A Parallel Aggregation Algorithm for Inter-Grid Transfer Operators in Algebraic Multigrid." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/94618.

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As finite element discretizations ever grow in size to address real-world problems, there is an increasing need for fast algorithms. Nowadays there are many GPU/CPU parallel approaches to solve such problems. Multigrid methods can be used to solve large-scale problems, or even better they can be used to precondition the conjugate gradient method, yielding better results in general. Capabilities of multigrid algorithms rely on the effectiveness of the inter-grid transfer operators. In this thesis we focus on the aggregation approach, discussing how different aggregation strategies affect the
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Müller, Ingo [Verfasser], and P. [Akademischer Betreuer] Sanders. "Engineering Aggregation Operators for Relational In-Memory Database Systems / Ingo Müller. Betreuer: P. Sanders." Karlsruhe : KIT-Bibliothek, 2016. http://d-nb.info/1106329953/34.

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Lei, Lei. "Markov Approximations: The Characterization of Undermodeling Errors." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1371.pdf.

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Tavassoli, Sude [Verfasser], and Katharina A. [Akademischer Betreuer] Zweig. "Analyzing Centrality Indices in Complex Networks: an Approach Using Fuzzy Aggregation Operators / Sude Tavassoli ; Betreuer: Katharina A. Zweig." Kaiserslautern : Technische Universität Kaiserslautern, 2018. http://d-nb.info/1165574225/34.

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Ljubo, Nedović. "Neki tipovi rastojanja i fazi mera sa primenom u obradi slika." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2017. https://www.cris.uns.ac.rs/record.jsf?recordId=104792&source=NDLTD&language=en.

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Doktorska disertacija izučava primenu fazi operacija, prvenstveno agregacionih operatora na funkcije rastojanja i metrike. Originalan doprinos teze je u konstrukciji novih funkcija rastojanja i metrika primenom agregacionih operatora na neke polazne funkcije rastojanja i metrike. Za neke tipove agregacionih operatora i polaznih funkcija rastojanja i metrika su ispitane osobine ovako konstruisanih funkcija rastojanja i metrika. Za neke od njih su ispitane performanse pri primeni u segmentaciji slike &bdquo;Fuzzy c-means&ldquo; algoritmom.<br>This thesis studies application of fuzzy operations,
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Mohammad, Nur. "Competitive demand response trading in electricity markets: Aggregator and end-user perspectives." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/119702/1/Nur_Mohammad_Thesis.pdf.

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Increased contributions toward power systems from renewable supplies require flexible demand-side resources to maintain balance in supply and demand. Demand response (DR) as one of the emerging demand-side resources can be used to compensate for the over/under supply problem of renewable energy. From an economic point and a network perspective, aggregators can offer the DR delivery bids in those locations (and times) in power systems that could reduce operating cost and the market clearing price. This research proposes a bi-level electricity market model for smart-grid with different combinati
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Books on the topic "Aggregation Operator"

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Bustince, Humberto. Aggregation Functions in Theory and in Practise: Proceedings of the 7th International Summer School on Aggregation Operators at the Public University of Navarra, Pamplona, Spain, July 16-20, 2013. Springer Berlin Heidelberg, 2013.

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Gil, Juan. Aspects of Boundary Problems in Analysis and Geometry. Birkhäuser Basel, 2004.

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Calvo, Tomasa, Gaspar Mayor, and Radko Mesiar, eds. Aggregation Operators. Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1787-4.

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Calvo, Tomasa. Aggregation Operators: New Trends and Applications. Physica-Verlag HD, 2002.

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Kukushkin, N. S. Aggregation and acyclicity in strategic games. Dorodnicyn Computing Center Russian Academy of Sciences, 2007.

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Kukushkin, N. S. Aggregation and acyclicity in strategic games. Dorodnicyn Computing Center Russian Academy of Sciences, 2007.

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Massanet, Sebastia, Susana Montes, Daniel Ruiz-Aguilera, and Manuel González-Hidalgo, eds. Fuzzy Logic and Technology, and Aggregation Operators. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39965-7.

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Mishra, Akansha, and Amit Kumar. Aggregation Operators for Various Extensions of Fuzzy Set and Its Applications in Transportation Problems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-6998-2.

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Torra, Vicenç, Radko Mesiar, and Bernard De Baets. Aggregation Functions in Theory and in Practice. Springer, 2017.

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Torra, Vicenç, and Yasuo Narukawa. Modeling Decisions: Information Fusion and Aggregation Operators. Springer London, Limited, 2007.

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Book chapters on the topic "Aggregation Operator"

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Maali, Fadi, Stéphane Campinas, and Stefan Decker. "Gagg: A Graph Aggregation Operator." In The Semantic Web. Latest Advances and New Domains. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18818-8_30.

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Wei, Cuiping, Xia Liang, and Lili Han. "A New Linguistic Aggregation Operator and Its Application." In Brain Informatics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23605-1_29.

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Pasi, Gabriella, and Ronald R. Yager. "A Majority Guided Aggregation Operator in Group Decision Making." In Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17910-5_6.

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Zou, Li, Xin Liu, Zheng Pei, and Degen Huang. "A New Linguistic Aggregation Operator for Group Decision Making." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28592-9_8.

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Li, Yilin, Xuan Pan, Dongming Zhao, Minhui Wang, and Yanlong Wen. "AOED: Generating SQL with the Aggregation Operator Enhanced Decoding." In Web Information Systems and Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20309-1_18.

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Prokopowicz, Piotr, and Samira Malek Mohamadi Golsefid. "Aggregation Operator for Ordered Fuzzy Numbers Concerning the Direction." In Artificial Intelligence and Soft Computing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07173-2_24.

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Lilik, Ferenc, Ádám Bukovics, and Laszló T. Kóczy. "Fuzzy Inference System-like Aggregation Operator for Fuzzy Signatures." In Computational Intelligence and Mathematics for Tackling Complex Problems 4. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07707-4_12.

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da Costa Pereira, Célia, Mauro Dragoni, and Gabriella Pasi. "A Prioritized “And” Aggregation Operator for Multidimensional Relevance Assessment." In AI*IA 2009: Emergent Perspectives in Artificial Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10291-2_8.

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He, Wen, Wei Liang, Álvaro Labella, and Rosa M. Rodríguez. "Application of Choquet–OWA Aggregation Operator to Fuse ELICIT Information." In Advances in Complex Decision Making. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003340621-1.

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Ye, Jiazhen, Chunyan An, Qiang Yang, and Zhixu Li. "AoSE-GCN: Attention-Aware Aggregation Operator for Spatial-Enhanced GCN." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-5779-4_15.

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Conference papers on the topic "Aggregation Operator"

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Debnath, Mampi, and Debasish Bhattacharya. "Selection of Electric Power Wheel Chair Using Intuitionistic Fuzzy Aggregation Operator Based MCGDM." In 2024 IEEE Silchar Subsection Conference (SILCON). IEEE, 2024. https://doi.org/10.1109/silcon63976.2024.10910822.

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Everaere, Patricia, Sébastien Konieczny, and Ramón Pino Pérez. "Weighted Merging Operators: Product, Utility-based Operators and Egalitarianism." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/31.

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We propose new operators for weighted propositional belief merging operators. We introduce distance-based operators that use the product as aggregation function. In social choice theory, the product, called the Nash welfare function, is known to be a more equitable social welfare function than the classical utilitarian welfare function (based on a sum). We study which properties are satisfied by the obtained corresponding weighted merging operators. In particular, we show that, unlike the Nash welfare function, distance-based operators using the product do not satisfy the Pigou-Dalton property
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Merigo, Jose M., and Kurt J. Engemann. "Probabilistic aggregation operators with the induced generalized OWA operator." In 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2010. http://dx.doi.org/10.1109/fuzzy.2010.5584806.

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Zavala, Antonio Hernandez, Jorge Adalberto Huerta Ruelas, Arodi Rafael Carballo Dominguez, and Oscar Camacho Nieto. "Discrete fuzzy systems: The aggregation operator." In 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2013. http://dx.doi.org/10.1109/fuzz-ieee.2013.6622380.

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Pander, Tomasz, and Janusz Wrobel. "OWA aggregation operator in robust filtering." In 2017 MIXDES - 24th International Conference "Mixed Design of Integrated Circuits and Systems". IEEE, 2017. http://dx.doi.org/10.23919/mixdes.2017.8005269.

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Kotinas, Ilias, and Nikos Fakotakis. "An Aggregation Operator for Evaluating Unbounded Positive Evidence." In SETN '18: 10th Hellenic Conference on Artificial Intelligence. ACM, 2018. http://dx.doi.org/10.1145/3200947.3201045.

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Joshi, Bhagawati Prasad, and Pushpendra Singh Kharayat. "Generalized intuitionistic fuzzy einstein weighted averaging aggregation operator." In 2015 International Conference on Computer, Communication and Control (IC4). IEEE, 2015. http://dx.doi.org/10.1109/ic4.2015.7375621.

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Lamara, Hakim, Laurent Vermeiren, and Dominique Roger. "Aggregation and fuzzification by weighted fuzzy fusion operator." In 2007 IEEE International Fuzzy Systems Conference. IEEE, 2007. http://dx.doi.org/10.1109/fuzzy.2007.4295515.

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Xing, Jiayong, Rui Yu, and Guangchun Zhang. "Some New Dual hesitant fuzzy power aggregation operator." In 2015 2nd International Workshop on Materials Engineering and Computer Sciences. Atlantis Press, 2015. http://dx.doi.org/10.2991/iwmecs-15.2015.137.

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Lv, Yue-jin, Hong-tao Cheng, and Hong-mei Liu. "Complementary Judgment Matrix Ranking Approach Based on Aggregation Operator." In 2010 International Conference on E-Product E-Service and E-Entertainment (ICEEE 2010). IEEE, 2010. http://dx.doi.org/10.1109/iceee.2010.5660328.

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