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Viewing Publication 1 - 100 from 703

2024

2023

Assessing Potential of Organizations with Fuzzy EntropyManish Aggarwal, Raghunathan Krishankumar, K. S. Ravichandran 0001, Tapan Senapati, Ronald R. Yager. orf, 4(1), March 2023. [doi]

Data Driven Level Set Fuzzy ClassificationFernando A. C. Gomide, Ronald R. Yager. nafips 2023: 36-43 [doi]

Induced aggregation operators for interval basic uncertain informationXu Jin, LeSheng Jin, Zhen-Song Chen 0002, Radko Mesiar, Ronald R. Yager. jifs, 44(3):3595-3602, 2023. [doi]

A Weight Determination Model in Uncertain and Complex Bi-Polar Preference EnvironmentLeSheng Jin, Boris Yatsalo, Luis Martínez-López 0001, Tapan Senapati, Chaker Jebari, Ronald R. Yager. ijufks, 31(5):713-727, October 2023. [doi]

Interval Type Interval and Cognitive Uncertain Information in Information Fusion and Decision MakingLeSheng Jin, Zhen-Song Chen 0002, Ronald R. Yager, Reza Langari. ijcisys, 16(1):60, December 2023. [doi]

Deriving efficacy from basic uncertain information and uncertain Choquet IntegralLeSheng Jin, Radko Mesiar, Ronald R. Yager, Martin Kalina, Jana Spirková, Surajit Borkotokey. ijgs, 52(1):72-85, January 2023. [doi]

Cognitive uncertain information with some properties and characteristicsLeSheng Jin, Zhen-Song Chen 0002, Ronald R. Yager, Reza Langari. jifs, 44(6):9411-9418, 2023. [doi]

Interval and BUI type basic uncertain information in multi-sources evaluation and rules based decision makingLeSheng Jin, Ronald R. Yager, Zhen-Song Chen 0002, Jana Spirková, Radko Mesiar. ijgs, 52(4):443-454, May 2023. [doi]

Families of Value-Dependent Preference Aggregation Operators with Their Structures and PropertiesLeSheng Jin, Radko Mesiar, Ronald R. Yager. ijufks, 31(2):209-220, April 2023. [doi]

Sugeno-Like Operators in Preference and Uncertain EnvironmentsLeSheng Jin, Yi Yang 0020, Radko Mesiar, Ronald R. Yager. tfs, 31(6):2092-2098, June 2023. [doi]

Bi-polar preference based weights allocation with incomplete fuzzy relationsLeSheng Jin, Zhen-Song Chen 0002, Jiang-Yuan Zhang, Ronald R. Yager, Radko Mesiar, Martin Kalina, Humberto Bustince, Luis Martínez 0001. isci, 621:308-318, April 2023. [doi]

Averaging aggregation under uncertainty and bipolar preference environmentsLeSheng Jin, Ronald R. Yager, Zhen-Song Chen 0002, Radko Mesiar, Luis Martínez-López 0001, Rosa M. Rodríguez 0001. soco, 27(12):8153-8159, June 2023. [doi]

Ordered weighted averaging operators for basic uncertain information granulesLeSheng Jin, Zhen-Song Chen 0002, Ronald R. Yager, Tapan Senapati, Radko Mesiar, Diego Garcia Zamora, Bapi Dutta, Luis Martínez 0001. isci, 645:119357, October 2023. [doi]

Multiple preferences induced aggregation with uncertainty influences in group evaluation of water resource managementJing Liu, Er Zi Zhang, Chao Ma, Ronald R. Yager, Tapan Senapati, Boris Yatsalo, LeSheng Jin. jifs, 44(5):8573-8583, 2023. [doi]

Uncertainty induced and preference involved aggregation in relative basic uncertain information decision environmentChao Ma, Ronald R. Yager, Jing Liu, Boris Yatsalo, Harish Garg, Tapan Senapati, LeSheng Jin. jifs, 45(6):11535-11547, December 2023. [doi]

Information Aggregation Approaches for Multi-criteria ApplicationsFrederick E. Petry, Ronald R. Yager. In Laxminarayan Sahoo, Tapan Senapati, Ronald R. Yager, editors, Real Life Applications of Multiple Criteria Decision Making Techniques in Fuzzy Domain. Volume 420 of pages 195-206, Springer, 2023. [doi]

Data Mining Using Association Rules for Intuitionistic Fuzzy DataFrederick E. Petry, Ronald R. Yager. information, 14(7):372, 2023. [doi]

Score Function-Based Effective Ranking of Interval-Valued Fermatean Fuzzy Sets and Its Applications to Multi-criteria Decision Making ProblemLaxminarayan Sahoo, Akul Rana, Tapan Senapati, Ronald R. Yager. In Laxminarayan Sahoo, Tapan Senapati, Ronald R. Yager, editors, Real Life Applications of Multiple Criteria Decision Making Techniques in Fuzzy Domain. Volume 420 of pages 435-451, Springer, 2023. [doi]

Sugeno-Weber triangular norm-based aggregation operators under T-spherical fuzzy hypersoft contextArun Sarkar, Tapan Senapati, LeSheng Jin, Radko Mesiar, Animesh Biswas, Ronald R. Yager. isci, 645:119305, October 2023. [doi]

An approach to prevent weight manipulation by minimum adjustment and maximum entropy method in social network group decision makingQi Sun, Jian Wu 0003, Francisco Chiclana, Sha Wang, Enrique Herrera-Viedma, Ronald R. Yager. air, 56(7):7315-7346, 2023. [doi]

Exploring the knowledge diffusion and research front of OWA operator: a main path analysisDejian Yu, Tianxing Pan, Zeshui Xu, Ronald R. Yager. air, 56(10):12233-12255, October 2023. [doi]

A novel three-way decision method for interval-valued hesitant fuzzy environmentQiuyan Zhan, LeSheng Jin, Ronald R. Yager, Radko Mesiar. soco, 27(17):12289-12307, 2023. [doi]

A Modified TOPSIS Approach with Three-Way DecisionQiuyan Zhan, LeSheng Jin, Ronald R. Yager. ijufks, 31(5):795-823, October 2023. [doi]

2022

Forecasting the exchange rate with multiple linear regression and heavy ordered weighted average operatorsMartha Flores-Sosa, Ernesto León-Castro, José M. Merigó, Ronald R. Yager. kbs, 248:108863, 2022. [doi]

Relative Basic Uncertain Information in Preference and Uncertain Involved Information FusionLeSheng Jin, Ya-Qiang Xu, Zhen-Song Chen 0002, Radko Mesiar, Ronald R. Yager. ijcisys, 15(1):12, 2022. [doi]

Interval basic uncertain information and related aggregations in decision makingLeSheng Jin, Radko Mesiar, Ronald R. Yager, Sema Kayapinar Kaya. jifs, 42(4):3551-3558, 2022. [doi]

Some Fuzzy Measures Constructing Paradigm and Methods From Given Measure Spaces and Evaluation InformationLeSheng Jin, Radko Mesiar, Ronald R. Yager. tfs, 30(3):878-884, 2022. [doi]

Unsymmetrical basic uncertain information with some decision-making methodsLeSheng Jin, Ronald R. Yager, Zhen-Song Chen 0002, Mesiar Mesiar, Humberto Bustince. jifs, 43(4):4457-4463, 2022. [doi]

Sum of Certainties with the Product of Reasons: Neural Network with Fuzzy AggregatorsEvgeny Kagan, Alexander N. Rybalov, Ronald R. Yager. ijufks, 30(1):1-18, 2022. [doi]

Data Driven Fuzzy Modeling Using Level SetsDaniel F. Leite, Fernando A. C. Gomide, Ronald R. Yager. fuzzIEEE 2022: 1-5 [doi]

Comprehensive Rules-Based and Preferences Induced Weights Allocation in Group Decision-Making with BUIGePeng Li, Ronald R. Yager, Xinxing Zhang, Radko Mesiar, Humberto Bustince, LeSheng Jin. ijcisys, 15(1):54, 2022. [doi]

Measure-Based Group Decision-Making With Principle-Guided Social Interaction Influence for Incomplete Information: A Game Theoretic PerspectiveZeyi Liu, Yong Deng 0001, Ronald R. Yager. tfs, 30(4):1149-1163, 2022. [doi]

Forecasting cryptocurrencies prices using data driven level set fuzzy modelsLeandro Maciel, Rosangela Ballini, Fernando A. C. Gomide, Ronald R. Yager. eswa, 210:118387, 2022. [doi]

Interval-valued fuzzy sets aggregation and evaluation approachesFrederick E. Petry, Ronald R. Yager. asc, 124:108887, 2022. [doi]

Intuitionistic and Interval-Valued Fuzzy Set Representations for Data MiningFred Petry, Ronald R. Yager. algorithms, 15(7):249, 2022. [doi]

Evidence approach imprecise intervals: extensions and evaluation measuresFred Petry, Ronald R. Yager. jaihc, 13(4):1899-1906, 2022. [doi]

Generating Contextual Weighted Commonsense Knowledge GraphsNavid Rezaei, Marek Z. Reformat, Ronald R. Yager. ipmu 2022: 593-606 [doi]

Novel Aczel-Alsina operations-based interval-valued intuitionistic fuzzy aggregation operators and their applications in multiple attribute decision-making processTapan Senapati, Guiyun Chen, Radko Mesiar, Ronald R. Yager. ijis, 37(8):5059-5081, 2022. [doi]

Aczel-Alsina aggregation operators and their application to intuitionistic fuzzy multiple attribute decision makingTapan Senapati, Guiyun Chen, Ronald R. Yager. ijis, 37(2):1529-1551, 2022. [doi]

Novel Aczel-Alsina operations-based hesitant fuzzy aggregation operators and their applications in cyclone disaster assessmentTapan Senapati, Guiyun Chen, Radko Mesiar, Ronald R. Yager, Abhijit Saha. ijgs, 51(5):511-546, 2022. [doi]

Human-centric Linguistic Summarization based on Analysis of Correlation between Linguistic TermsNhuan D. To, Marek Z. Reformat, Dang Q. Thang, Ronald R. Yager. fuzzIEEE 2022: 1-7 [doi]

Aggregating Ordinal Values Using A Measure Based MedianRonald R. Yager. inffus, 78:86-89, 2022. [doi]

Two classes of granular solutions and related optimality conditions for interval type-2 fuzzy optimizationJianke Zhang, Zeshui Xu, Feng Feng 0003, Ronald R. Yager. isci, 612:974-993, 2022. [doi]

2021

OWA operators with functional weightsJesús Medina 0001, Ronald R. Yager. fss, 414:38-56, 2021. [doi]

Q-Rung Orthopair Fuzzy Integrals in the Frame of Continuous Archimedean T-Norms and T-Conorms and Their ApplicationZhenghai Ai, Zeshui Xu, Ronald R. Yager, Jianmei Ye. tfs, 29(5):996-1007, 2021. [doi]

On Monotonicity of the Interval Sugeno IntegralMichal Boczek, LeSheng Jin, Radko Mesiar, Ronald R. Yager. tfs, 29(9):2825-2827, 2021. [doi]

Volatility GARCH models with the ordered weighted average (OWA) operatorsMartha Flores-Sosa, Ezequiel Avilés-Ochoa, José M. Merigó, Ronald R. Yager. isci, 565:46-61, 2021. [doi]

Derived Fuzzy Measures and Derived Choquet Integrals With Some PropertiesLeSheng Jin, Radko Mesiar, Ronald R. Yager. tfs, 29(5):1320-1324, 2021. [doi]

On Some Construction Method and Orness Measure of Bi-CapacitiesLeSheng Jin, Radko Mesiar, Andrea Stupnanová, Ronald R. Yager, Martin Kalina. ijufks, 29(1):107-117, 2021. [doi]

On WA Expressions of Induced OWA Operators and Inducing Function Based Orness With Application in EvaluationLeSheng Jin, Radko Mesiar, Ronald R. Yager. tfs, 29(6):1695-1700, 2021. [doi]

The properties of crescent preference vectors and their utility in decision making with risk and preferencesLeSheng Jin, Radko Mesiar, Ronald R. Yager. fss, 409:114-127, 2021. [doi]

Some Generalized Integrals Applied in Scientometrics and Related EvaluationLeSheng Jin, Radko Mesiar, Andrea Stupnanová, Ronald R. Yager. tetci, 5(5):846-853, 2021. [doi]

Some decision taking rules based on ordering determined partitionsLeSheng Jin, Radko Mesiar, Ronald R. Yager. ijgs, 50(1):26-35, 2021. [doi]

Some bipolar-preferences-involved aggregation methods for a sequence of OWA weight vectorsLeSheng Jin, Ronald R. Yager, Zhen-Song Chen 0002, Jana Spirková, Daniel Paternain, Radko Mesiar, Humberto Bustince. soco, 25(2):895-902, 2021. [doi]

OWA aggregation with dual preferences for basic uncertain informationLeSheng Jin, Ronald R. Yager, Jana Spirková, Radko Mesiar, Daniel Paternain, Humberto Bustince. jifs, 40(3):4535-4544, 2021. [doi]

GnIOWA operators and some weights allocation methods with their propertiesLeSheng Jin, Zhen-Song Chen 0002, Ronald R. Yager, Jana Spirková, Radko Mesiar, Daniel Paternain, Humberto Bustince. ijis, 36(5):2367-2386, 2021. [doi]

Consistent Construction of Evaluation Threshold Values and Rules for Heterogeneous Linguistic Input InformationGang Qian, Er Zi Zhang, Zhisong Chen, Radko Mesiar, Ronald R. Yager, LeSheng Jin. ijcisys, 14(1):153, 2021. [doi]

Hybridizations of generalized Dombi operators and Bonferroni mean operators under dual probabilistic linguistic environment for group decision-makingAbhijit Saha, Tapan Senapati, Ronald R. Yager. ijis, 36(11):6645-6679, 2021. [doi]

Cubic intuitionistic WASPAS technique and its application in multi-criteria decision-makingTapan Senapati, Ronald R. Yager, Guiyun Chen. jaihc, 12(9):8823-8833, 2021. [doi]

Flexible Querying Using Disjunctive ConceptsGrégory Smits, Marie-Jeanne Lesot, Olivier Pivert, Ronald R. Yager. fqas 2021: 29-40 [doi]

Question-Answering System with Linguistic SummarizationNhuan D. To, Marek Z. Reformat, Ronald R. Yager. fuzzIEEE 2021: 1-8 [doi]

An approach to identify solutions of interest from multi and many-objective optimization problemsMarina Torres, David A. Pelta, María Teresa Lamata, Ronald R. Yager. nca, 33(7):2471-2481, 2021. [doi]

An Introduction to Linguistic SummariesRonald R. Yager. In Marie-Jeanne Lesot, Christophe Marsala, editors, Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications - Dedicated to Bernadette Bouchon-Meunier. Volume 394 of Studies in Fuzziness and Soft Computing, pages 151-162, Springer, 2021. [doi]

Inferring the value of a variable using measure based information of a related variableRonald R. Yager. eaai, 101:104201, 2021. [doi]

Some Methods for Yager Preference Involved Aggregations in Multi-Criteria and Multi-Sources EvaluationRouJian Yang, XingTing Pu, Daniel Paternain, Ronald R. Yager, Radko Mesiar, Humberto Bustince, LeSheng Jin. ijufks, 29(4):587-602, 2021. [doi]

An Uncertain and Preference Evaluation Model with Basic Uncertain Information in Educational ManagementCheng Zhu, Er Zi Zhang, Zhen Wang, Ronald R. Yager, Zhisong Chen, LeSheng Jin, Zhen-Song Chen 0002. ijcisys, 14(1):168-173, 2021. [doi]

2020

Modeling of Complex System Phenomena via Computing With Words in Fuzzy Cognitive MapsJohn T. (Terry) Rickard, Janet Aisbett, David G. Morgenthaler, Ronald R. Yager. tfs, 28(12):3122-3132, 2020. [doi]

Maximal association analysis using logical formulas over soft setsFeng Feng 0003, Qian Wang, Ronald R. Yager, José Carlos R. Alcantud, Longyao Zhang. eswa, 159:113557, 2020. [doi]

An $N$-Soft Set Approach to Rough SetsJosé Carlos R. Alcantud, Feng Feng 0003, Ronald R. Yager. tfs, 28(11):2996-3007, 2020. [doi]

An intelligent quality-based approach to fusing multi-source possibilistic informationSonda Ammar Bouhamed, Imene Khanfir Kallel, Ronald R. Yager, Éloi Bossé, Basel Solaiman. inffus, 55:68-90, 2020. [doi]

Multi-criteria fuzzy comprehensive evaluation in interval environment with dual preferencesLiu Fan, Jana Spirková, Radko Mesiar, Ronald R. Yager, LeSheng Jin. jifs, 39(1):1361-1369, 2020. [doi]

Two-level multi-criteria comprehensive evaluation for preference vectors in online shopping platform evaluationLiu Fan, Ronald R. Yager, Radko Mesiar, LeSheng Jin. jifs, 39(5):7921-7930, 2020. [doi]

Linguistic summarization of fuzzy social and economic networks: an application on the international trade networkSerkan Genç, Diyar Akay, Fatih Emre Boran, Ronald R. Yager. soco, 24(2):1511-1527, 2020. [doi]

Parameterized preference aggregation operators with improved adjustabilityLeSheng Jin, Radko Mesiar, Ronald R. Yager. ijgs, 49(8):843-855, 2020. [doi]

Canonical form of ordered weighted averaging operatorsLeSheng Jin, Radko Mesiar, Martin Kalina, Ronald R. Yager. anor, 295(2):605-631, 2020. [doi]

Subjective Markov Process with Fuzzy AggregationsEugene Kagan, Alexander N. Rybalov, Ronald R. Yager. icaart 2020: 386-394 [doi]

The ordered weighted average inflationErnesto León-Castro, Luis F. Espinoza-Audelo, José M. Merigó, Anna Maria Gil Lafuente, Ronald R. Yager. jifs, 38(2):1901-1913, 2020. [doi]

Specificity measures based on fuzzy set similarityNicolás Marín, Gustavo Rivas-Gervilla, Daniel Sánchez 0001, Ronald R. Yager. fss, 401:189-199, 2020. [doi]

Interval Sugeno Integral With PreferenceXingTing Pu, Radko Mesiar, Ronald R. Yager, LeSheng Jin. tfs, 28(3):597-601, 2020. [doi]

Image-Based World-perceiving Knowledge Graph (WpKG) with ImprecisionNavid Rezaei, Marek Z. Reformat, Ronald R. Yager. ipmu 2020: 415-428 [doi]

Fermatean fuzzy setsTapan Senapati, Ronald R. Yager. jaihc, 11(2):663-674, 2020. [doi]

Concept Membership Modeling Using a Choquet IntegralGrégory Smits, Ronald R. Yager, Marie-Jeanne Lesot, Olivier Pivert. ipmu 2020: 359-372 [doi]

On the fusion of multiple multi-criteria aggregation functions with focus on the fusion of OWA aggregationsRonald R. Yager. kbs, 191:105216, 2020. [doi]

On the Conjunction of Possibility MeasuresRonald R. Yager. tfs, 28(8):1572-1574, 2020. [doi]

Some fuzzy measure modeled multi-criteria formulationsRonald R. Yager. ijgs, 49(2):222-233, 2020. [doi]

Ordinal scale based uncertainty models for AIRonald R. Yager. inffus, 64:92-98, 2020. [doi]

Using fuzzy measures for modeling human perception of uncertainty in artificial intelligenceRonald R. Yager. eaai, 87, 2020. [doi]

Mean, variance and covariance of joint measure based uncertain variablesRonald R. Yager. inffus, 55:245-250, 2020. [doi]

Some realizations and instances of Yager prioritized preference frame with application in evaluation and decision makingRouJian Yang, XingTing Pu, Radko Mesiar, Ronald R. Yager, LeSheng Jin. ijis, 35(3):557-568, 2020. [doi]

Some preference involved aggregation models for basic uncertain information using uncertainty transformationRouJian Yang, LeSheng Jin, Daniel Paternain, Ronald R. Yager, Radko Mesiar, Humberto Bustince. jifs, 39(1):325-332, 2020. [doi]

Using preference leveled evaluation functions to construct fuzzy measures in decision making and evaluationChen Zhu, LeSheng Jin, Radko Mesiar, Ronald R. Yager. ijgs, 49(2):161-173, 2020. [doi]

2019

On Scatters of Probability Distributions and OWA Weights CollectionsLeSheng Jin, Radko Mesiar, Ronald R. Yager. ijufks, 27(5):773-788, 2019. [doi]

Aggregation operators with moving averagesJosé M. Merigó, Ronald R. Yager. soco, 23(21):10601-10615, 2019. [doi]

Some New Operations Over Fermatean Fuzzy Numbers and Application of Fermatean Fuzzy WPM in Multiple Criteria Decision MakingTapan Senapati, Ronald R. Yager. informaticaLT, 30(2):391-412, 2019.

Using Quality Measures in the Intelligent Fusion of Probabilistic InformationRonald R. Yager, Frederick E. Petry. In Éloi Bossé, Galina L. Rogova, editors, Information Quality in Information Fusion and Decision Making. pages 51-77, Springer, 2019. [doi]

Importance-based multicriteria decision making with interval valued criteria satisfactionsRonald R. Yager, Naif Alajlan. ijis, 34(12):3336-3344, 2019. [doi]

Drawing on the iPad to input fuzzy sets with an application to linguistic data scienceRonald R. Yager, Marek Z. Reformat, Nhuan D. To. isci, 479:277-291, 2019. [doi]

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